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@article{DBLP:journals/mlst/BanerjeeAKSBAPMH24, author = {Pragyan Banerjee and Shivam Milind Akarte and Prakhar Kumar and Muhammad Shamsuzzaman and Ankit Butola and Krishna Agarwal and Dilip K. Prasad and Frank Melands{\o} and Anowarul Habib}, title = {High-resolution imaging in acoustic microscopy using deep learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15007}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1c30}, doi = {10.1088/2632-2153/AD1C30}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BanerjeeAKSBAPMH24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BarrZFP24, author = {Jessica Barr and Giorgio Zicari and Alessandro Ferraro and Mauro Paternostro}, title = {Spectral density classification for environment spectroscopy}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15043}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2cf1}, doi = {10.1088/2632-2153/AD2CF1}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BarrZFP24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BustardW24, author = {Chad Bustard and John F. Wu}, title = {Deep learning cosmic ray transport from density maps of simulated, turbulent gas}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15028}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad262a}, doi = {10.1088/2632-2153/AD262A}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BustardW24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CaiBM24, author = {Jizhen Cai and Clotilde Boust and Alamin Mansouri}, title = {{ATSFCNN:} a novel attention-based triple-stream fused {CNN} model for hyperspectral image classification}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15024}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1d05}, doi = {10.1088/2632-2153/AD1D05}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CaiBM24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ChakrabortySNPM24, author = {Tanujit Chakraborty and Ujjwal Reddy K. S and Shraddha M. Naik and Madhurima Panja and Bayapureddy Manvitha}, title = {Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {11001}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1f77}, doi = {10.1088/2632-2153/AD1F77}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ChakrabortySNPM24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DemirtasHMSS24, author = {Mehmet Demirtas and James Halverson and Anindita Maiti and Matthew D. Schwartz and Keegan Stoner}, title = {Neural network field theories: non-Gaussianity, actions, and locality}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15002}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad17d3}, doi = {10.1088/2632-2153/AD17D3}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/DemirtasHMSS24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DongBP24, author = {Haiqi Dong and Amanda S. Barnard and Amanda J. Parker}, title = {Online meta-learned gradient norms for active learning in science and technology}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15041}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2e17}, doi = {10.1088/2632-2153/AD2E17}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/DongBP24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/EckhoffR24, author = {Marco Eckhoff and Markus Reiher}, title = {CoRe optimizer: an all-in-one solution for machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15018}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1f76}, doi = {10.1088/2632-2153/AD1F76}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/EckhoffR24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/EgenlaufRM24, author = {Patrick Egenlauf and Patric Rommel and J{\"{o}}rg Main}, title = {Gaussian-process-regression-based method for the localization of exceptional points in complex resonance spectra}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15045}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2e16}, doi = {10.1088/2632-2153/AD2E16}, timestamp = {Mon, 15 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/EgenlaufRM24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FanelliG24, author = {Cristiano Fanelli and James Giroux}, title = {ELUQuant: event-level uncertainty quantification in deep inelastic scattering}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15017}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2098}, doi = {10.1088/2632-2153/AD2098}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FanelliG24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FreitasBFNOT24, author = {Osvaldo Gramaxo Freitas and Juan Calder{\'{o}}n Bustillo and Jos{\'{e}} A. Font and Solange Nunes and Ant{\'{o}}nio Onofre and Alejandro Torres{-}Forn{\'{e}}}, title = {Comparison of neural network architectures for feature extraction from binary black hole merger waveforms}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15036}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2972}, doi = {10.1088/2632-2153/AD2972}, timestamp = {Mon, 15 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FreitasBFNOT24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FrohnertN24, author = {Felix Frohnert and Evert P. L. van Nieuwenburg}, title = {Explainable representation learning of small quantum states}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15001}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad16a0}, doi = {10.1088/2632-2153/AD16A0}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FrohnertN24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FuRC24, author = {Weizhong Fu and Weiluo Ren and Ji Chen}, title = {Variance extrapolation method for neural-network variational Monte Carlo}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15016}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1f75}, doi = {10.1088/2632-2153/AD1F75}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FuRC24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GabelQG24, author = {Alex Gabel and Rick Quax and Efstratios Gavves}, title = {Data-driven Lie point symmetry detection for continuous dynamical systems}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15037}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2629}, doi = {10.1088/2632-2153/AD2629}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GabelQG24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GalarzaO24, author = {Jose Galarza and Tamer Oraby}, title = {Functional data learning using convolutional neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15030}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2627}, doi = {10.1088/2632-2153/AD2627}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GalarzaO24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GardnerBD24, author = {John L. A. Gardner and Kathryn T. Baker and Volker L. Deringer}, title = {Synthetic pre-training for neural-network interatomic potentials}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15003}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1626}, doi = {10.1088/2632-2153/AD1626}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GardnerBD24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GovindODLS24, author = {Kishan Govind and Daniela Oliveros and Antonin Dlouhy and Marc Legros and Stefan Sandfeld}, title = {Deep learning of crystalline defects from {TEM} images: a solution for the problem of 'never enough training data'}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15006}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1a4e}, doi = {10.1088/2632-2153/AD1A4E}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GovindODLS24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GrauerSLL24, author = {Jens Grauer and Fabian Jan Schwarzendahl and Hartmut L{\"{o}}wen and Benno Liebchen}, title = {Optimizing collective behavior of communicating active particles with machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15014}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1c33}, doi = {10.1088/2632-2153/AD1C33}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GrauerSLL24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Ibebuchi24, author = {Chibuike Chiedozie Ibebuchi}, title = {Redefining the North Atlantic Oscillation index generation using autoencoder neural network}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {01}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1c32}, doi = {10.1088/2632-2153/AD1C32}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Ibebuchi24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/IbebuchiOA24, author = {Chibuike Chiedozie Ibebuchi and Omon A Obarein and Itohan{-}Osa Abu}, title = {Application of autoencoders artificial neural network and principal component analysis for pattern extraction and spatial regionalization of global temperature data}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15009}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1c34}, doi = {10.1088/2632-2153/AD1C34}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/IbebuchiOA24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/JaouniARKGK24, author = {Tareq Jaouni and S{\"{o}}ren Arlt and Carlos Ruiz{-}Gonzalez and Ebrahim Karimi and Xuemei Gu and Mario Krenn}, title = {Deep quantum graph dreaming: deciphering neural network insights into quantum experiments}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15029}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2628}, doi = {10.1088/2632-2153/AD2628}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/JaouniARKGK24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/JeffreyW24, author = {Niall Jeffrey and Benjamin D. Wandelt}, title = {Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15008}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1a4d}, doi = {10.1088/2632-2153/AD1A4D}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/JeffreyW24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KadhimPP24, author = {Ali Al Kadhim and Harrison B. Prosper and Olivia F. Prosper}, title = {Amortized simulation-based frequentist inference for tractable and intractable likelihoods}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15020}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad218e}, doi = {10.1088/2632-2153/AD218E}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KadhimPP24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KhaledyanMOMKBZBP24, author = {Donya Khaledyan and Thomas J. Marini and Avice OConnell and Steven Meng and Jonah Kan and Galen Brennan and Yu Zhao and Timothy M. Baran and Kevin J. Parker}, title = {WATUNet: a deep neural network for segmentation of volumetric sweep imaging ultrasound}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15042}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2e15}, doi = {10.1088/2632-2153/AD2E15}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KhaledyanMOMKBZBP24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KirsteinAFWS24, author = {Tom Kirstein and Simon A{\ss}mann and Orkun Furat and Stefan Will and Volker Schmidt}, title = {Determination of droplet size from wide-angle light scattering image data using convolutional neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15049}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2f53}, doi = {10.1088/2632-2153/AD2F53}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KirsteinAFWS24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LeeWS24, author = {Taesam Lee and Chang{-}Hee Won and Vijay P. Singh}, title = {ML-based regionalization of climate variables to forecast seasonal precipitation for water resources management}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15019}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1d04}, doi = {10.1088/2632-2153/AD1D04}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LeeWS24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LiLWVSL24, author = {Jia Li and Jiangwei Li and Chenxu Wang and Fons J. Verbeek and Tanja Schultz and Hui Liu}, title = {{MS2OD:} outlier detection using minimum spanning tree and medoid selection}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15025}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2492}, doi = {10.1088/2632-2153/AD2492}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LiLWVSL24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LorsungLF24, author = {Cooper Lorsung and Zijie Li and Amir Barati Farimani}, title = {Physics informed token transformer for solving partial differential equations}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15032}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad27e3}, doi = {10.1088/2632-2153/AD27E3}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LorsungLF24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MantiL24, author = {Simone Manti and Alessandro Lucantonio}, title = {Discovering interpretable physical models using symbolic regression and discrete exterior calculus}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15005}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1af2}, doi = {10.1088/2632-2153/AD1AF2}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MantiL24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MarinoR24, author = {Raffaele Marino and Federico Ricci{-}Tersenghi}, title = {Phase transitions in the mini-batch size for sparse and dense two-layer neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15015}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1de6}, doi = {10.1088/2632-2153/AD1DE6}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MarinoR24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MilderJRF24, author = {A L. Milder and Archis S. Joglekar and Wojciech Rozmus and Dustin H. Froula}, title = {Qualitative and quantitative enhancement of parameter estimation for model-based diagnostics using automatic differentiation with an application to inertial fusion}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15026}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2493}, doi = {10.1088/2632-2153/AD2493}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MilderJRF24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MiskovichNCEGMMEER24, author = {Sara A. Miskovich and Willie Neiswanger and William Colocho and Claudio Emma and Jacqueline Garrahan and Timothy Maxwell and Christopher Mayes and Stefano Ermon and Auralee Edelen and Daniel Ratner}, title = {Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15004}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad169f}, doi = {10.1088/2632-2153/AD169F}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MiskovichNCEGMMEER24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MuccignatBGSW24, author = {Dale L. Muccignat and Gregory G. Boyle and Nathan A Garland and Peter W. Stokes and Ronald D. White}, title = {An iterative deep learning procedure for determining electron scattering cross-sections from transport coefficients}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15047}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2fed}, doi = {10.1088/2632-2153/AD2FED}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MuccignatBGSW24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/OzelbasTO24, author = {Enes Ozelbas and Emine Elif T{\"{u}}lay and Serhat Ozekes}, title = {Improving cross-subject classification performance of motor imagery signals: a data augmentation-focused deep learning framework}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15021}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad200c}, doi = {10.1088/2632-2153/AD200C}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/OzelbasTO24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/PathanPSS24, author = {Munir S. Pathan and S. M. Pradhan and T. Palani Selvam and B. K. Sapra}, title = {A multi-stage machine learning algorithm for estimating personal dose equivalent using thermoluminescent dosimeter}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15011}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1c31}, doi = {10.1088/2632-2153/AD1C31}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/PathanPSS24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/PrasadOD24, author = {Viki Kumar Prasad and Alberto Otero{-}de{-}la{-}Roza and Gino Dilabio}, title = {Bridging the gap between high-level quantum chemical methods and deep learning models}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15035}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad27e1}, doi = {10.1088/2632-2153/AD27E1}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/PrasadOD24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/RajputSBARZPV24, author = {Kishansingh Rajput and Malachi Schram and Willem Blokland and Yasir Alanazi and Pradeep Ramuhalli and Alexander Zhukov and Charles Peters and Ricardo Vilalta}, title = {Robust errant beam prognostics with conditional modeling for particle accelerators}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15044}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2e18}, doi = {10.1088/2632-2153/AD2E18}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/RajputSBARZPV24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/RezasefatH24, author = {Mohammad Rezasefat and James D. Hogan}, title = {Prediction of 4D stress field evolution around additive manufacturing-induced porosity through progressive deep-learning frameworks}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15038}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad290c}, doi = {10.1088/2632-2153/AD290C}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/RezasefatH24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SanspeurK24, author = {Rohan Yuri Sanspeur and John R. Kitchin}, title = {Circumventing data imbalance in magnetic ground state data for magnetic moment predictions}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15023}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad23fb}, doi = {10.1088/2632-2153/AD23FB}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SanspeurK24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SenokosovSSKM24, author = {Arsenii Senokosov and Alexander Sedykh and Asel Sagingalieva and Basil Kyriacou and Alexey Melnikov}, title = {Quantum machine learning for image classification}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15040}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2aef}, doi = {10.1088/2632-2153/AD2AEF}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SenokosovSSKM24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ShiJZLQZ24, author = {Baoshun Shi and Ke Jiang and Shaolei Zhang and Qiusheng Lian and Yanwei Qin and Yunsong Zhao}, title = {Mud-Net: multi-domain deep unrolling network for simultaneous sparse-view and metal artifact reduction in computed tomography}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15010}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1b8e}, doi = {10.1088/2632-2153/AD1B8E}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ShiJZLQZ24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SongXZDS24, author = {Zhihui Song and Jinchen Xu and Xin Zhou and Xiaodong Ding and Zheng Shan}, title = {Transforming two-dimensional tensor networks into quantum circuits for supervised learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15048}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2fec}, doi = {10.1088/2632-2153/AD2FEC}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SongXZDS24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SunLLWLLC24, author = {Xueqin Sun and Yu Li and Yihong Li and Sukai Wang and Xuan Li and Ming Lu and Ping Chen}, title = {Regression transients modeling of solid rocket motor burning surfaces with physics-guided neural network}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15034}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2973}, doi = {10.1088/2632-2153/AD2973}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SunLLWLLC24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/UsluOTNBSWTBWS24, author = {Jan{-}Lucas Uslu and Taoufiq Ouaj and David Tebbe and Alexey Nekrasov and Jo Henri Bertram and Marc Sch{\"{u}}tte and Kenji Watanabe and Takashi Taniguchi and Bernd Beschoten and Lutz Waldecker and Christoph Stampfer}, title = {An open-source robust machine learning platform for real-time detection and classification of 2D material flakes}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15027}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2287}, doi = {10.1088/2632-2153/AD2287}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/UsluOTNBSWTBWS24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ValletiVZK24, author = {Mani Valleti and Rama K. Vasudevan and Maxim A. Ziatdinov and Sergei V. Kalinin}, title = {Deep kernel methods learn better: from cards to process optimization}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15012}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1a4f}, doi = {10.1088/2632-2153/AD1A4F}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ValletiVZK24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WangLLS24, author = {Yanyang Wang and Wei Li and Feiyi Liu and Jianmin Shen}, title = {Supervised and unsupervised learning of {(1+1)} -dimensional even-offspring branching annihilating random walks}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15033}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad27e2}, doi = {10.1088/2632-2153/AD27E2}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WangLLS24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WangLWLG24, author = {Yifan Wang and Yang Li and Jiaqi Wang and Haofeng Lv and Jinshi Guo}, title = {Sparse optical flow outliers elimination method based on Borda stochastic neighborhood graph}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15022}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1a50}, doi = {10.1088/2632-2153/AD1A50}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WangLWLG24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WangZCGR24, author = {He Wang and Yue Zhou and Zhoujian Cao and Zong{-}Kuan Guo and Zhixiang Ren}, title = {WaveFormer: transformer-based denoising method for gravitational-wave data}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15046}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2f54}, doi = {10.1088/2632-2153/AD2F54}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WangZCGR24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/XiongLYWZD24, author = {Haoyi Xiong and Xuhong Li and Boyang Yu and Dongrui Wu and Zhanxing Zhu and Dejing Dou}, title = {Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15039}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad13ba}, doi = {10.1088/2632-2153/AD13BA}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/XiongLYWZD24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/YuPHMKHY24, author = {Dayou Yu and Deep Shankar Pandey and Joshua Hinz and Deyan I. Mihaylov and Valentin V. Karasiev and S. X. Hu and Qi Yu}, title = {Deep energy-pressure regression for a thermodynamically consistent {EOS} model}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15031}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad2626}, doi = {10.1088/2632-2153/AD2626}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/YuPHMKHY24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ZhaoSCQMS24, author = {Yu Zhao and Xiaoyan Shen and Jiadong Chen and Wei Qian and He Ma and Liang Sang}, title = {{\(\delta\)}ARD loss for low-contrast medical image segmentation}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {1}, pages = {15013}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad1d06}, doi = {10.1088/2632-2153/AD1D06}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ZhaoSCQMS24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AbubekerB23, author = {K. M. Abubeker and S. Baskar}, title = {B2-Net: an artificial intelligence powered machine learning framework for the classification of pneumonia in chest x-ray images}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15036}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc30f}, doi = {10.1088/2632-2153/ACC30F}, timestamp = {Fri, 02 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AbubekerB23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AiXDWSHWLR23, author = {Pengcheng Ai and Le Xiao and Zhi Deng and Yi Wang and Xiangming Sun and Guangming Huang and Dong Wang and Yulei Li and Xinchi Ran}, title = {Label-free timing analysis of SiPM-based modularized detectors with physics-constrained deep learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45020}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acfd09}, doi = {10.1088/2632-2153/ACFD09}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AiXDWSHWLR23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AlnuqaydanGP23, author = {Abdulhakim Alnuqaydan and Sergei Gleyzer and Harrison Prosper}, title = {{SYMBA:} symbolic computation of squared amplitudes in high energy physics with machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15007}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb2b2}, doi = {10.1088/2632-2153/ACB2B2}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AlnuqaydanGP23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Alshayeji23, author = {Mohammad H. Alshayeji}, title = {{CAD} system for epileptic seizure detection from {EEG} through image processing and {SURF-BOF} technique}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45029}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0572}, doi = {10.1088/2632-2153/AD0572}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Alshayeji23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AntilEOV23, author = {Harbir Antil and Howard C. Elman and Akwum Onwunta and Deepanshu Verma}, title = {A deep neural network approach for parameterized PDEs and Bayesian inverse problems}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35015}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ace67c}, doi = {10.1088/2632-2153/ACE67C}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AntilEOV23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AntunesBG23, author = {Luis M. Antunes and Keith T. Butler and Ricardo Grau{-}Crespo}, title = {Predicting thermoelectric transport properties from composition with attention-based deep learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15037}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc4a9}, doi = {10.1088/2632-2153/ACC4A9}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AntunesBG23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AxelrodG23, author = {Simon Axelrod and Rafael G{\'{o}}mez{-}Bombarelli}, title = {Molecular machine learning with conformer ensembles}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35025}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acefa7}, doi = {10.1088/2632-2153/ACEFA7}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/AxelrodG23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BaconTB23, author = {Philippe Bacon and Agata Trovato and Michal Bejger}, title = {Denoising gravitational-wave signals from binary black holes with a dilated convolutional autoencoder}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35024}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acd90f}, doi = {10.1088/2632-2153/ACD90F}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BaconTB23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BaiocchiGNSNV23, author = {Alessandro Baiocchi and Stefano Giagu and Christian Napoli and M. Serra and Pietro Nardelli and M. Valleriani}, title = {Artificial neural networks exploiting point cloud data for fragmented solid objects classification}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45025}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad035e}, doi = {10.1088/2632-2153/AD035E}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BaiocchiGNSNV23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BajajMAR23, author = {Chandrajit Bajaj and Luke McLennan and Timothy Andeen and Avik Roy}, title = {Recipes for when physics fails: recovering robust learning of physics informed neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15013}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb416}, doi = {10.1088/2632-2153/ACB416}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BajajMAR23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BaldySJH23, author = {Nina Baldy and Nicolas Simon and Viktor K. Jirsa and Meysam Hashemi}, title = {Hierarchical Bayesian pharmacometrics analysis of Baclofen for alcohol use disorder}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35048}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf6aa}, doi = {10.1088/2632-2153/ACF6AA}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BaldySJH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BaroneDR23, author = {Francesco Pio Barone and Daniele Dell'Aquila and Marco Russo}, title = {A novel multi-layer modular approach for real-time fuzzy-identification of gravitational-wave signals}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45054}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad1200}, doi = {10.1088/2632-2153/AD1200}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BaroneDR23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BartSRCSSLSKLG23, author = {Manon P. Bart and Nicholas J. Savino and Paras Regmi and Lior Cohen and Haleh Safavi and Harry C. Shaw and Sanjaya Lohani and Thomas A. Searles and Brian T. Kirby and Hwang Lee and Ryan T. Glasser}, title = {Deep learning for enhanced free-space optical communications}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45046}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad10cd}, doi = {10.1088/2632-2153/AD10CD}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BartSRCSSLSKLG23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BermanKS23, author = {David S. Berman and Marc S. Klinger and Alexander G. Stapleton}, title = {Bayesian renormalization}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45011}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0102}, doi = {10.1088/2632-2153/AD0102}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BermanKS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BhattooRK23, author = {Ravinder Bhattoo and Sayan Ranu and N. M. Anoop Krishnan}, title = {Learning the dynamics of particle-based systems with Lagrangian graph neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15003}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb03e}, doi = {10.1088/2632-2153/ACB03E}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BhattooRK23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BiswasVZK23, author = {Arpan Biswas and Rama K. Vasudevan and Maxim A. Ziatdinov and Sergei V. Kalinin}, title = {Optimizing training trajectories in variational autoencoders via latent Bayesian optimization approach \({}^{\mbox{*}}\)}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15011}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb316}, doi = {10.1088/2632-2153/ACB316}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BiswasVZK23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BiswasZK23, author = {Arpan Biswas and Maxim A. Ziatdinov and Sergei V. Kalinin}, title = {Combining variational autoencoders and physical bias for improved microscopy data analysis \({}^{\mbox{{\({_\ast}\)}}}\)}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45004}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf6a9}, doi = {10.1088/2632-2153/ACF6A9}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/BiswasZK23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BoffiV23, author = {Nicholas M. Boffi and Eric Vanden{-}Eijnden}, title = {Probability flow solution of the Fokker-Planck equation}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35012}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ace2aa}, doi = {10.1088/2632-2153/ACE2AA}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BoffiV23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BoulleD23, author = {Alexandre Boulle and A Debelle}, title = {Convolutional neural network analysis of x-ray diffraction data: strain profile retrieval in ion beam modified materials}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15002}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acab4c}, doi = {10.1088/2632-2153/ACAB4C}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BoulleD23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BrigantiL23, author = {Valerio Briganti and Alessandro Lunghi}, title = {Efficient generation of stable linear machine-learning force fields with uncertainty-aware active learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35005}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ace418}, doi = {10.1088/2632-2153/ACE418}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BrigantiL23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CallowNKC23, author = {Timothy J. Callow and Jan Nikl and Eli Kraisler and Attila Cangi}, title = {Physics-enhanced neural networks for equation-of-state calculations}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45055}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad13b9}, doi = {10.1088/2632-2153/AD13B9}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CallowNKC23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CardonaH23, author = {Juan Esteban Suarez Cardona and Michael Hecht}, title = {Polynomial differentiation decreases the training time complexity of physics-informed neural networks and strengthens their approximation power}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45005}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf97a}, doi = {10.1088/2632-2153/ACF97A}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CardonaH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ChallapalliD23, author = {Jhansi Rani Challapalli and Nagaraju Devarakonda}, title = {Effectual pre-processing with quantization error elimination in pose detector with the aid of image-guided progressive graph convolution network {(IGP-GCN)} for multi-person pose estimation}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25015}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc9fc}, doi = {10.1088/2632-2153/ACC9FC}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ChallapalliD23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CharkinGorbulinCBDGGHKKRST23, author = {Anton Charkin{-}Gorbulin and Kyle Cranmer and Francesco Armando Di Bello and Etienne Dreyer and Sanmay Ganguly and Eilam Gross and Lukas Heinrich and Marumi Kado and Nilotpal Kakati and Patrick Rieck and Lorenzo Santi and Matteo Tusoni}, title = {Configurable calorimeter simulation for {AI} applications}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35042}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf186}, doi = {10.1088/2632-2153/ACF186}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CharkinGorbulinCBDGGHKKRST23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ChenJZXPDHC23, author = {Zhao{-}Min Chen and Xin Jin and Xiaoqin Zhang and Chaoqun Xia and Zhiyong Pan and Ruoxi Deng and Jie Hu and Heng Chen}, title = {{DIM:} long-tailed object detection and instance segmentation via dynamic instance memory}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35047}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf362}, doi = {10.1088/2632-2153/ACF362}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ChenJZXPDHC23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ChenPPCOCYT23, author = {Zhantao Chen and Cheng Peng and Alexander N. Petsch and Sathya R. Chitturi and Alana Okullo and Sugata Chowdhury and Chun Hong Yoon and Joshua J. Turner}, title = {Bayesian experimental design and parameter estimation for ultrafast spin dynamics}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45056}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad113a}, doi = {10.1088/2632-2153/AD113A}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ChenPPCOCYT23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ChengWPSSLR23, author = {Yongqiang Cheng and Geoffrey Wu and Daniel M. Pajerowski and Matthew B. Stone and Andrei T. Savici and Mingda Li and Anibal Ramirez{-}Cuesta}, title = {Direct prediction of inelastic neutron scattering spectra from the crystal structure}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15010}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb315}, doi = {10.1088/2632-2153/ACB315}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ChengWPSSLR23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CiarellaCBDJ23, author = {Simone Ciarella and Massimiliano Chiappini and Emanuele Boattini and Marjolein Dijkstra and Liesbeth M. C. Janssen}, title = {Dynamics of supercooled liquids from static averaged quantities using machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25010}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc7e1}, doi = {10.1088/2632-2153/ACC7E1}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CiarellaCBDJ23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CiarellaTWZ23, author = {Simone Ciarella and Jeanne Trinquier and Martin Weigt and Francesco Zamponi}, title = {Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {10501}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acbe91}, doi = {10.1088/2632-2153/ACBE91}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CiarellaTWZ23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CiprijanovicLPMNPW23, author = {Aleksandra Ciprijanovic and Ashia Lewis and Kevin Pedro and Sandeep Madireddy and Brian Nord and Gabriel N. Perdue and Stefan M. Wild}, title = {DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25013}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acca5f}, doi = {10.1088/2632-2153/ACCA5F}, timestamp = {Thu, 13 Jul 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CiprijanovicLPMNPW23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CoccaroBGRS23, author = {Andrea Coccaro and Francesco Armando Di Bello and Stefano Giagu and Lucrezia Rambelli and Nicola Stocchetti}, title = {Fast neural network inference on FPGAs for triggering on long-lived particles at colliders}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45040}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad087a}, doi = {10.1088/2632-2153/AD087A}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CoccaroBGRS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CongF23, author = {Guojing Cong and Victor Fung}, title = {Improving materials property predictions for graph neural networks with minimal feature engineering \({}^{\mbox{*}}\)}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35030}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acefab}, doi = {10.1088/2632-2153/ACEFAB}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/CongF23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CornacchiaMVGLZ23, author = {Elisabetta Cornacchia and Francesca Mignacco and Rodrigo Veiga and C{\'{e}}dric Gerbelot and Bruno Loureiro and Lenka Zdeborov{\'{a}}}, title = {Learning curves for the multi-class teacher-student perceptron}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15019}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb428}, doi = {10.1088/2632-2153/ACB428}, timestamp = {Wed, 08 Nov 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/CornacchiaMVGLZ23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CorriasPSBGSSDRF23, author = {Marco Corrias and Lorenzo Papa and Igor Sokolovic and Viktor Birschitzky and Alexander Gorfer and Martin Setvin and Michael Schmid and Ulrike Diebold and Michele Reticcioli and Cesare Franchini}, title = {Automated real-space lattice extraction for atomic force microscopy images}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15015}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb5e0}, doi = {10.1088/2632-2153/ACB5E0}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CorriasPSBGSSDRF23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CretuTTDLV23, author = {Miruna T. Cretu and Alessandra Toniato and Amol Thakkar and Amin A Debabeche and Teodoro Laino and Alain C. Vaucher}, title = {Standardizing chemical compounds with language models}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35014}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ace878}, doi = {10.1088/2632-2153/ACE878}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CretuTTDLV23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CrippaCCCP23, author = {Martina Crippa and Annalisa Cardellini and Matteo Cioni and G{\'{a}}bor Cs{\'{a}}nyi and Giovanni M. Pavan}, title = {Machine learning of microscopic structure-dynamics relationships in complex molecular systems}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45044}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0fa5}, doi = {10.1088/2632-2153/AD0FA5}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CrippaCCCP23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CuiLKZ23, author = {Hugo Cui and Bruno Loureiro and Florent Krzakala and Lenka Zdeborov{\'{a}}}, title = {Error scaling laws for kernel classification under source and capacity conditions}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35033}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf041}, doi = {10.1088/2632-2153/ACF041}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CuiLKZ23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DaiK23, author = {J. Dai and Roman V. Krems}, title = {Neural network Gaussian processes as efficient models of potential energy surfaces for polyatomic molecules}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45027}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0652}, doi = {10.1088/2632-2153/AD0652}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/DaiK23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DalyFHT23, author = {Gregory A. Daly and Jonathan E. Fieldsend and Graham Hassall and Gavin R. Tabor}, title = {Data-driven plasma modelling: surrogate collisional radiative models of fluorocarbon plasmas from deep generative autoencoders}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35035}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/aced7f}, doi = {10.1088/2632-2153/ACED7F}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/DalyFHT23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DiazVJC23, author = {Emiliano Diaz and Gherardo Varando and Juan Emmanuel Johnson and Gustau Camps{-}Valls}, title = {Learning latent functions for causal discovery}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35004}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ace151}, doi = {10.1088/2632-2153/ACE151}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/DiazVJC23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DiefenbacherEGKKKMR23, author = {Sascha Diefenbacher and Engin Eren and Frank Gaede and Gregor Kasieczka and Anatolii Korol and Katja Kr{\"{u}}ger and Peter McKeown and Lennart Rustige}, title = {New angles on fast calorimeter shower simulation}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35044}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acefa9}, doi = {10.1088/2632-2153/ACEFA9}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/DiefenbacherEGKKKMR23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DingCBM23, author = {Yongcheng Ding and Xi Chen and Jos{\'{e}} Rafael Magdalena Benedicto and Jos{\'{e}} D. Mart{\'{\i}}n{-}Guerrero}, title = {Closed-loop control of a noisy qubit with reinforcement learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25020}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acd048}, doi = {10.1088/2632-2153/ACD048}, timestamp = {Mon, 15 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/DingCBM23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DingeldeinCC23, author = {Lars Dingeldein and Pilar Cossio and Roberto Covino}, title = {Simulation-based inference of single-molecule force spectroscopy}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25009}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc8b8}, doi = {10.1088/2632-2153/ACC8B8}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/DingeldeinCC23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DuWWW23, author = {Congcong Du and Xuan Wang and Zhangsen Wang and Da{-}Hui Wang}, title = {Data-driven dynamics reconstruction using {RBF} network \({}^{\mbox{*}}\)}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45016}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acec31}, doi = {10.1088/2632-2153/ACEC31}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/DuWWW23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DuarteLRZHDHKKKKMNPQRZ23, author = {Javier M. Duarte and Haoyang Li and Avik Roy and Ruike Zhu and E. A. Huerta and Daniel Diaz and Philip C. Harris and Raghav Kansal and Daniel S. Katz and Ishaan H. Kavoori and Volodymyr V. Kindratenko and Farouk Mokhtar and Mark S. Neubauer and Sang Eon Park and Melissa Quinnan and Roger Rusack and Zhizhen Zhao}, title = {{FAIR} {AI} models in high energy physics}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45062}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad12e3}, doi = {10.1088/2632-2153/AD12E3}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/DuarteLRZHDHKKKKMNPQRZ23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DuffieldBR23, author = {Samuel Duffield and Marcello Benedetti and Matthias Rosenkranz}, title = {Bayesian learning of parameterised quantum circuits}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25007}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc8b7}, doi = {10.1088/2632-2153/ACC8B7}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/DuffieldBR23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DuranthonZ23, author = {Odilon Duranthon and Lenka Zdeborov{\'{a}}}, title = {Neural-prior stochastic block model}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35017}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ace60f}, doi = {10.1088/2632-2153/ACE60F}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/DuranthonZ23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/EkahanaWSTMAS23, author = {Sandy Adhitia Ekahana and Genta Indra Winata and Y. Soh and Anna Tamai and Radovic Milan and Gabriel Aeppli and Ming Shi}, title = {Transfer learning application of self-supervised learning in {ARPES}}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35021}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/aced7d}, doi = {10.1088/2632-2153/ACED7D}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/EkahanaWSTMAS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/EmamiPLBJ23, author = {Patrick Emami and Aidan Perreault and Jeffrey N. Law and David Biagioni and Peter C. St. John}, title = {Plug {\&} play directed evolution of proteins with gradient-based discrete {MCMC}}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25014}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/accacd}, doi = {10.1088/2632-2153/ACCACD}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/EmamiPLBJ23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FabregatHernandezPB23, author = {Ares Fabregat{-}Hern{\'{a}}ndez and Javier Palanca and Vicent J. Botti}, title = {Exploring explainable {AI:} category theory insights into machine learning algorithms}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45061}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad1534}, doi = {10.1088/2632-2153/AD1534}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FabregatHernandezPB23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FalknerCRGD23, author = {Sebastian Falkner and Alessandro Coretti and Salvatore Romano and Phillip L. Geissler and Christoph Dellago}, title = {Conditioning Boltzmann generators for rare event sampling}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35050}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf55c}, doi = {10.1088/2632-2153/ACF55C}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FalknerCRGD23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FallerAEME23, author = {Josua Faller and Narbota Amanova and Ruben E. van Engen and J{\"{o}}rg Martin and Clemens Elster}, title = {About the generalizability of deep learning based image quality assessment in mammography}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45001}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf914}, doi = {10.1088/2632-2153/ACF914}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FallerAEME23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FediaiRPWF23, author = {Artem Fediai and Patrick Reiser and Jorge Enrique Olivares Pe{\~{n}}a and Wolfgang Wenzel and Pascal Friederich}, title = {Interpretable delta-learning of {GW} quasiparticle energies from {GGA-DFT}}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35045}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf545}, doi = {10.1088/2632-2153/ACF545}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/FediaiRPWF23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FolieH23, author = {Brendan Folie and Maxwell Hutchinson}, title = {Multivariate prediction intervals for bagged models}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15022}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb9d5}, doi = {10.1088/2632-2153/ACB9D5}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FolieH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FuWSLXODSH23, author = {Nihang Fu and Lai Wei and Yuqi Song and Qinyang Li and Rui Xin and Sadman Sadeed Omee and Rongzhi Dong and Edirisuriya M. Dilanga Siriwardane and Jianjun Hu}, title = {Material transformers: deep learning language models for generative materials design}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15001}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acadcd}, doi = {10.1088/2632-2153/ACADCD}, timestamp = {Sun, 12 Nov 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/FuWSLXODSH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GambiniMJS23, author = {Laura Gambini and Tiarnan Mullarkey and Lewys Jones and Stefano Sanvito}, title = {Machine-learning approach for quantified resolvability enhancement of low-dose {STEM} data}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15025}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acbb52}, doi = {10.1088/2632-2153/ACBB52}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GambiniMJS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GerwenWLC23, author = {Puck van Gerwen and Matthew D. Wodrich and Rub{\'{e}}n Laplaza and Cl{\'{e}}mence Corminboeuf}, title = {Reply to Comment on 'Physics-based representations for machine learning properties of chemical reactions'}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {48002}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acee43}, doi = {10.1088/2632-2153/ACEE43}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GerwenWLC23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GronroosPC23, author = {Sonja Gr{\"{o}}nroos and Maurizio Pierini and Nadezda Chernyavskaya}, title = {Automated visual inspection of {CMS} {HGCAL} silicon sensor surface using an ensemble of a deep convolutional autoencoder and classifier}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35028}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/aced7e}, doi = {10.1088/2632-2153/ACED7E}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GronroosPC23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GrossoLLPRRWZ23, author = {Gaia Grosso and Nicol{\`{o}} Lai and Marco Letizia and Jacopo Pazzini and Marco Rando and Lorenzo Rosasco and Andrea Wulzer and Marco Zanetti}, title = {Fast kernel methods for data quality monitoring as a goodness-of-fit test}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35029}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acebb7}, doi = {10.1088/2632-2153/ACEBB7}, timestamp = {Wed, 20 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/GrossoLLPRRWZ23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GruichMWG23, author = {Cameron J. Gruich and Varun Madhavan and Yixin Wang and Bryan R. Goldsmith}, title = {Clarifying trust of materials property predictions using neural networks with distribution-specific uncertainty quantification}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25019}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/accace}, doi = {10.1088/2632-2153/ACCACE}, timestamp = {Mon, 26 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GruichMWG23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HanadaLRT23, author = {Masanori Hanada and Junyu Liu and Enrico Rinaldi and Masaki Tezuka}, title = {Estimating truncation effects of quantum bosonic systems using sampling algorithms}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45021}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad035c}, doi = {10.1088/2632-2153/AD035C}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HanadaLRT23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HanczarSHKTCS23, author = {Gergely Hancz{\'{a}}r and Marcell Stippinger and D{\'{a}}vid Han{\'{a}}k and Marcell T. Kurbucz and Oliv{\'{e}}r M. T{\"{o}}rteli and {\'{A}}gnes Chripk{\'{o}} and Zolt{\'{a}}n Somogyv{\'{a}}ri}, title = {Feature space reduction method for ultrahigh-dimensional, multiclass data: random forest-based multiround screening {(RFMS)}}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45012}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad020e}, doi = {10.1088/2632-2153/AD020E}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HanczarSHKTCS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HaqYD23, author = {M. I K. Haq and Intan Nurma Yulita and I A Dharmawan}, title = {A study of transfer learning in digital rock properties measurement}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35034}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf117}, doi = {10.1088/2632-2153/ACF117}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HaqYD23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HaugSK23, author = {Tobias Haug and Chris N. Self and M. S. Kim}, title = {Quantum machine learning of large datasets using randomized measurements}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15005}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb0b4}, doi = {10.1088/2632-2153/ACB0B4}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HaugSK23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HinzML23, author = {Florian B. Hinz and Amr H. Mahmoud and Markus A. Lill}, title = {Prediction of molecular field points using SE(3)-transformer model}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35016}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ace67b}, doi = {10.1088/2632-2153/ACE67B}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HinzML23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HouY23, author = {Wanda Hou and Yi{-}Zhuang You}, title = {Machine learning renormalization group for statistical physics}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45010}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0101}, doi = {10.1088/2632-2153/AD0101}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/HouY23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HyK23, author = {Truong Son Hy and Risi Kondor}, title = {Multiresolution equivariant graph variational autoencoder}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15031}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc0d8}, doi = {10.1088/2632-2153/ACC0D8}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HyK23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HyunJNKJL23, author = {Chang Min Hyun and Tae Jun Jang and Jeongchan Nam and Hyeuknam Kwon and Kiwan Jeon and Kyounghun Lee}, title = {Machine learning-based signal quality assessment for cardiac volume monitoring in electrical impedance tomography}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15034}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc637}, doi = {10.1088/2632-2153/ACC637}, timestamp = {Mon, 26 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HyunJNKJL23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/IouchtchenkoGPM23, author = {Dmitri Iouchtchenko and J{\'{e}}r{\^{o}}me F. Gonthier and Alejandro Perdomo{-}Ortiz and Roger G. Melko}, title = {Neural network enhanced measurement efficiency for molecular groundstates}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15016}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb4df}, doi = {10.1088/2632-2153/ACB4DF}, timestamp = {Fri, 02 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/IouchtchenkoGPM23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/JacobsGM23, author = {Ryan Jacobs and Philip E. Goins and Dane Morgan}, title = {Role of multifidelity data in sequential active learning materials discovery campaigns: case study of electronic bandgap}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45060}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad1627}, doi = {10.1088/2632-2153/AD1627}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/JacobsGM23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/JadhavSM23, author = {Shreejit Jadhav and Mihir Shrivastava and Sanjit Mitra}, title = {Towards a robust and reliable deep learning approach for detection of compact binary mergers in gravitational wave data}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45028}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0938}, doi = {10.1088/2632-2153/AD0938}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/JadhavSM23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/JiaZLLS23, author = {Dongni Jia and Xiaofeng Zhou and Shuai Li and Shurui Liu and Haibo Shi}, title = {Governing equation discovery based on causal graph for nonlinear dynamic systems}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45008}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acffa4}, doi = {10.1088/2632-2153/ACFFA4}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/JiaZLLS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/JiangWSCXL23, author = {Maowei Jiang and Kai Wang and Yue Sun and Wenbo Chen and Bingjie Xia and Ruiqi Li}, title = {{MLGN:} multi-scale local-global feature learning network for long-term series forecasting}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45059}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad1436}, doi = {10.1088/2632-2153/AD1436}, timestamp = {Wed, 10 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/JiangWSCXL23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/JoglekarT23, author = {Archis S. Joglekar and Alexander G. R. Thomas}, title = {Machine learning of hidden variables in multiscale fluid simulation}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35049}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf81a}, doi = {10.1088/2632-2153/ACF81A}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/JoglekarT23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/JungMI23, author = {Gang Seob Jung and Hunjoo Myung and Stephan Irle}, title = {Artificial neural network potentials for mechanics and fracture dynamics of two-dimensional crystals \({}^{\mbox{**}}\)}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35001}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/accd45}, doi = {10.1088/2632-2153/ACCD45}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/JungMI23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KashifA23, author = {Muhammad Kashif and Saif M. Al{-}Kuwari}, title = {The impact of cost function globality and locality in hybrid quantum neural networks on {NISQ} devices}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15004}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb12f}, doi = {10.1088/2632-2153/ACB12F}, timestamp = {Tue, 23 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KashifA23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KaurFC23, author = {Harpreet Kaur and Thomas Franosch and Michele Caraglio}, title = {Adaptive active Brownian particles searching for targets of unknown positions}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35008}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ace6f4}, doi = {10.1088/2632-2153/ACE6F4}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KaurFC23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KedzioraMRG23, author = {David Jacob Kedziora and Anna Musial and Wojciech Rudno{-}Rudzinski and Bogdan Gabrys}, title = {Harnessing data augmentation to quantify uncertainty in the early estimation of single-photon source quality}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45042}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0d11}, doi = {10.1088/2632-2153/AD0D11}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KedzioraMRG23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KhandokerAH23, author = {Shoummo Ahsan Khandoker and Jawaril Munshad Abedin and Mohamed Hibat{-}Allah}, title = {Supplementing recurrent neural networks with annealing to solve combinatorial optimization problems}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15026}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb895}, doi = {10.1088/2632-2153/ACB895}, timestamp = {Fri, 02 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KhandokerAH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KhodaRLHHHKLPRSVW23, author = {Elham E Khoda and Dylan S. Rankin and Rafael Teixeira de Lima and Philip C. Harris and Scott Hauck and Shih{-}Chieh Hsu and Michael Kagan and Vladimir Loncar and Chaitanya Paikara and Richa Rao and Sioni Summers and Caterina Vernieri and Aaron Wang}, title = {Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25004}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc0d7}, doi = {10.1088/2632-2153/ACC0D7}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KhodaRLHHHKLPRSVW23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KhotNR23, author = {Ayush Khot and Mark S. Neubauer and Avik Roy}, title = {A detailed study of interpretability of deep neural network based top taggers}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35003}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ace0a1}, doi = {10.1088/2632-2153/ACE0A1}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KhotNR23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KimKLY23, author = {Dongyeon Kim and Yejin Kan and Seungmin Lee and Gangman Yi}, title = {Parameter-free basis allocation for efficient multiple metric learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45049}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad113b}, doi = {10.1088/2632-2153/AD113B}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KimKLY23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KimKRS23, author = {Myeonghyeon Kim and Junhwan Kwon and Tenzin Rabga and Yong{-}il Shin}, title = {Vortex detection in atomic Bose-Einstein condensates using neural networks trained on synthetic images}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45017}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad03ad}, doi = {10.1088/2632-2153/AD03AD}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KimKRS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KimLS23, author = {Insoo Kim and Minhyeok Lee and Junhee Seok}, title = {{ICEGAN:} inverse covariance estimating generative adversarial network}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25008}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc638}, doi = {10.1088/2632-2153/ACC638}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KimLS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KitouniNW23, author = {Ouail Kitouni and Niklas Nolte and Mike Williams}, title = {Robust and provably monotonic networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35020}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/aced80}, doi = {10.1088/2632-2153/ACED80}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KitouniNW23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KlawohnKB23, author = {Sascha Klawohn and James R. Kermode and Albert P. Bart{\'{o}}k}, title = {Massively parallel fitting of Gaussian approximation potentials}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15020}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/aca743}, doi = {10.1088/2632-2153/ACA743}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KlawohnKB23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KollaP23, author = {Bhavannarayanna Kolla and Venugopal P.}, title = {Breast cancer diagnosis through knowledge distillation of Swin transformer-based teacher-student models}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45047}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad10cc}, doi = {10.1088/2632-2153/AD10CC}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KollaP23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KolloffO23, author = {Christopher Kolloff and Simon Olsson}, title = {Rescuing off-equilibrium simulation data through dynamic experimental data with dynAMMo}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45050}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad10ce}, doi = {10.1088/2632-2153/AD10CE}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KolloffO23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KordzanganehSFM23, author = {Mohammad Kordzanganeh and Pavel Sekatski and Leonid Fedichkin and Alexey Melnikov}, title = {An exponentially-growing family of universal quantum circuits}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35036}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ace757}, doi = {10.1088/2632-2153/ACE757}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KordzanganehSFM23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KrosuriS23, author = {Lakshmi Revathi Krosuri and Aravapalli Rama Satish}, title = {Novel heuristic-based hybrid ResNeXt with recurrent neural network to handle multi class classification of sentiment analysis}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15033}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc0d5}, doi = {10.1088/2632-2153/ACC0D5}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KrosuriS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LarranagaBMCP23, author = {Ana Larra{\~{n}}aga and Steven L. Brunton and Javier Mart{\'{\i}}nez and Sergio Chapela and Jacobo Porteiro}, title = {Data-driven prediction of the performance of enhanced surfaces from an extensive CFD-generated parametric search space}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25012}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acca60}, doi = {10.1088/2632-2153/ACCA60}, timestamp = {Thu, 11 Jan 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/LarranagaBMCP23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LazinSSW23, author = {Marjuka F. Lazin and Christian R. Shelton and Simon N. Sandhofer and Bryan M. Wong}, title = {High-dimensional multi-fidelity Bayesian optimization for quantum control}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45014}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0100}, doi = {10.1088/2632-2153/AD0100}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LazinSSW23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LeeLJ23, author = {Dongjin Lee and Seong{-}Heon Lee and Jae{-}Hun Jung}, title = {The effects of topological features on convolutional neural networks - an explanatory analysis via Grad-CAM}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35019}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ace6f3}, doi = {10.1088/2632-2153/ACE6F3}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LeeLJ23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LeeP23, author = {Changwon Lee and Daniel K. Park}, title = {Scalable quantum measurement error mitigation via conditional independence and transfer learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45051}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad1007}, doi = {10.1088/2632-2153/AD1007}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LeeP23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LemmRL23, author = {Dominik Lemm and Guido Falk von Rudorff and O. Anatole von Lilienfeld}, title = {Improved decision making with similarity based machine learning: applications in chemistry}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45043}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0fa3}, doi = {10.1088/2632-2153/AD0FA3}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LemmRL23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LemosCAHEMYH23, author = {Pablo Lemos and Miles D. Cranmer and Muntazir Abidi and ChangHoon Hahn and Michael Eickenberg and Elena Massara and David Yallup and Shirley Ho}, title = {Robust simulation-based inference in cosmology with Bayesian neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {01}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acbb53}, doi = {10.1088/2632-2153/ACBB53}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LemosCAHEMYH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LemosJCHB23, author = {Pablo Lemos and Niall Jeffrey and Miles D. Cranmer and Shirley Ho and Peter W. Battaglia}, title = {Rediscovering orbital mechanics with machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45002}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acfa63}, doi = {10.1088/2632-2153/ACFA63}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/LemosJCHB23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LiangLXCYAH23, author = {Xiao Liang and Mingfan Li and Qian Xiao and Junshi Chen and Chao Yang and Hong An and Lixin He}, title = {Deep learning representations for quantum many-body systems on heterogeneous hardware}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15035}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc56a}, doi = {10.1088/2632-2153/ACC56A}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LiangLXCYAH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LiangSZLY23, author = {Senwei Liang and Aditya N. Singh and Yuanran Zhu and David T. Limmer and Chao Yang}, title = {Probing reaction channels via reinforcement learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45003}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acfc33}, doi = {10.1088/2632-2153/ACFC33}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LiangSZLY23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LinLH23, author = {Min{-}Ruei Lin and Wan{-}Ju Li and Shin{-}Ming Huang}, title = {Quaternion-based machine learning on topological quantum systems}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15032}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc0d6}, doi = {10.1088/2632-2153/ACC0D6}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LinLH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LinLLFLH23, author = {Eric Lin and Boyuan Liu and Leann Lac and Daryl L. X. Fung and Carson K. Leung and Pingzhao Hu}, title = {scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35013}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acd7c3}, doi = {10.1088/2632-2153/ACD7C3}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/LinLLFLH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LinanderBYM23, author = {Hampus Linander and Oleksandr Balabanov and Henry Yang and Bernhard Mehlig}, title = {Looking at the posterior: accuracy and uncertainty of neural-network predictions}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45032}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0ab4}, doi = {10.1088/2632-2153/AD0AB4}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LinanderBYM23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LiuZOCCTGH23, author = {Junyu Liu and Changchun Zhong and Matthew Otten and Anirban Chandra and Cristian L. Cortes and Chaoyang Ti and Stephen K. Gray and Xu Han}, title = {Quantum Kerr learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25003}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc726}, doi = {10.1088/2632-2153/ACC726}, timestamp = {Fri, 02 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LiuZOCCTGH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LopezPiqueresCP23, author = {Javier Lopez{-}Piqueres and Jing Chen and Alejandro Perdomo{-}Ortiz}, title = {Symmetric tensor networks for generative modeling and constrained combinatorial optimization}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35009}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ace0f5}, doi = {10.1088/2632-2153/ACE0F5}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LopezPiqueresCP23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LuceMWM23, author = {Alexander Luce and Ali Mahdavi and Heribert Wankerl and Florian Marquardt}, title = {Investigation of inverse design of multilayer thin-films with conditional invertible neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15014}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb48d}, doi = {10.1088/2632-2153/ACB48D}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LuceMWM23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ManekGGNSW23, author = {Petr M{\'{a}}nek and Graham W. Van Goffrier and Vignesh Gopakumar and Nikolaos Nikolaou and Jonathan Shimwell and Ingo P. Waldmann}, title = {Fast regression of the tritium breeding ratio in fusion reactors}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15008}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb2b3}, doi = {10.1088/2632-2153/ACB2B3}, timestamp = {Tue, 26 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/ManekGGNSW23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/McKelvyNMMFLWKM23, author = {James A. McKelvy and Irina Novikova and Eugeniy E. Mikhailov and Mario A. Maldonado and Isaac Fan and Yang Li and Ying{-}Ju Wang and John Kitching and Andrey Matsko}, title = {Application of kernel principal component analysis for optical vector atomic magnetometry}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45048}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0fa4}, doi = {10.1088/2632-2153/AD0FA4}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/McKelvyNMMFLWKM23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MelchingSB23, author = {David Melching and Erik Schultheis and Eric Breitbarth}, title = {Generating artificial displacement data of cracked specimen using physics-guided adversarial networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45063}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad15b2}, doi = {10.1088/2632-2153/AD15B2}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MelchingSB23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MensaSTBT23, author = {Stefano Mensa and Mustafa Emre Sahin and Francesco Tacchino and Panagiotis Kl. Barkoutsos and Ivano Tavernelli}, title = {Quantum machine learning framework for virtual screening in drug discovery: a prospective quantum advantage}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15023}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb900}, doi = {10.1088/2632-2153/ACB900}, timestamp = {Fri, 26 Jan 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/MensaSTBT23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MilsonTOCAL23, author = {Nicholas Milson and Arina Tashchilina and T. Ooi and Anna Czarnecka and Z. F. Ahmad and Lindsay J. LeBlanc}, title = {High-dimensional reinforcement learning for optimization and control of ultracold quantum gases}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45057}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad1437}, doi = {10.1088/2632-2153/AD1437}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MilsonTOCAL23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Miyazaki23, author = {Yu Miyazaki}, title = {Equivariant neural networks for spin dynamics simulations of itinerant magnets}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45006}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acffa2}, doi = {10.1088/2632-2153/ACFFA2}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Miyazaki23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MolinaOT23, author = {John J. Molina and Kenta Ogawa and Takashi Taniguchi}, title = {Stokesian processes : inferring Stokes flows using physics-informed Gaussian processes}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45013}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0286}, doi = {10.1088/2632-2153/AD0286}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MolinaOT23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MoschouHPMMV23, author = {S. P. Moschou and Elliot Hicks and R. Y. Parekh and D. Mathew and S. Majumdar and Nektarios Vlahakis}, title = {Physics-informed neural networks for modeling astrophysical shocks}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35032}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf116}, doi = {10.1088/2632-2153/ACF116}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MoschouHPMMV23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/NikoloskaSBV23, author = {Ivana Nikoloska and Osvaldo Simeone and Leonardo Banchi and Petar Velickovic}, title = {Time-warping invariant quantum recurrent neural networks via quantum-classical adaptive gating}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45038}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acff39}, doi = {10.1088/2632-2153/ACFF39}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/NikoloskaSBV23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/OlivaresPilonEQA23, author = {Horacio Olivares{-}Pil{\'{o}}n and Adrian M. Escobar{-}Ruiz and Mario Alan Quiroz{-}Ju{\'{a}}rez and Norberto Aquino}, title = {Confined hydrogen atom: endohedrals H@C\({}_{\mbox{36}}\) and H@C\({}_{\mbox{60}}\)}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15024}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb901}, doi = {10.1088/2632-2153/ACB901}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/OlivaresPilonEQA23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/OrzariCCDCGKPTT23, author = {Breno Orzari and Nadezda Chernyavskaya and Raphael C{\'{o}}be and Javier M. Duarte and Jefferson F. Coelho and Dimitrios Gunopulos and Raghav Kansal and Maurizio Pierini and Thiago Tomei and Mary Touranakou}, title = {{LHC} hadronic jet generation using convolutional variational autoencoders with normalizing flows}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45023}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad04ea}, doi = {10.1088/2632-2153/AD04EA}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/OrzariCCDCGKPTT23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/OualaCCGF23, author = {Said Ouala and Bertrand Chapron and Fabrice Collard and Lucile Gaultier and Ronan Fablet}, title = {Extending the extended dynamic mode decomposition with latent observables: the latent {EDMD} framework}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25018}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acccd6}, doi = {10.1088/2632-2153/ACCCD6}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/OualaCCGF23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/OzdemirOGGE23, author = {Mehmet Akif {\"{O}}zdemir and Gizem Dilara Ozdemir and Merve Gul and Onan G{\"{u}}ren and Utku Kursat Ercan}, title = {Machine learning to predict the antimicrobial activity of cold atmospheric plasma-activated liquids}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15030}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc1c0}, doi = {10.1088/2632-2153/ACC1C0}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/OzdemirOGGE23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ParkHP23, author = {Gunhee Park and Joonsuk Huh and Daniel K. Park}, title = {Variational quantum one-class classifier}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15006}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acafd5}, doi = {10.1088/2632-2153/ACAFD5}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ParkHP23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/PirasPPLGN23, author = {Davide Piras and Hiranya V. Peiris and Andrew Pontzen and Luisa Lucie{-}Smith and Ningyuan Guo and Brian Nord}, title = {A robust estimator of mutual information for deep learning interpretability}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25006}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc444}, doi = {10.1088/2632-2153/ACC444}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/PirasPPLGN23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/PolatA23, author = {Aydin G{\"{o}}ze Polat and Ferda Nur Alpaslan}, title = {The reusability prior: comparing deep learning models without training}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25011}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc713}, doi = {10.1088/2632-2153/ACC713}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/PolatA23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Qiu23, author = {Yun{-}Zhong Qiu}, title = {Universal adversarial perturbations for multiple classification tasks with quantum classifiers}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45009}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acffa3}, doi = {10.1088/2632-2153/ACFFA3}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Qiu23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/RackersTGS23, author = {Joshua A. Rackers and Lucas Tecot and Mario Geiger and Tess E. Smidt}, title = {A recipe for cracking the quantum scaling limit with machine learned electron densities}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15027}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb314}, doi = {10.1088/2632-2153/ACB314}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/RackersTGS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/RaduD23, author = {Adrian Radu and Carlos A Duque}, title = {Deep learning neural network for approaching Schr{\"{o}}dinger problems with arbitrary two-dimensional confinement}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35046}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf55b}, doi = {10.1088/2632-2153/ACF55B}, timestamp = {Sat, 27 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/RaduD23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/RaghunathanN23, author = {Shampa Raghunathan and Sai Ajay Kashyap Nakirikanti}, title = {Intramolecular proton transfer reaction dynamics using machine-learned ab initio potential energy surfaces}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35006}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acdbbc}, doi = {10.1088/2632-2153/ACDBBC}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/RaghunathanN23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/RahimifarWGRGT23, author = {Mohammad Mehdi Rahimifar and Quentin Wingering and Berthi{\'{e}} Gouin{-}Ferland and Hamza Ezzaoui Rahali and Charles{-}{\'{E}}tienne Granger and Audrey C. Therrien}, title = {Exploring machine learning to hardware implementations for large data rate x-ray instrumentation}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45035}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0d12}, doi = {10.1088/2632-2153/AD0D12}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/RahimifarWGRGT23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/RenLXYW23, author = {Zuoting Ren and Shichao Li and Perry Xiao and Xiaopeng Yang and Hongtao Wang}, title = {Artificial intelligent identification of apatite fission tracks based on machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45039}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0e17}, doi = {10.1088/2632-2153/AD0E17}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/RenLXYW23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/RezasefatH23, author = {Mohammad Rezasefat and James D. Hogan}, title = {A finite element-convolutional neural network model {(FE-CNN)} for stress field analysis around arbitrary inclusions}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45052}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad134a}, doi = {10.1088/2632-2153/AD134A}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/RezasefatH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/RiP23, author = {Song Jin Ri and Pavel Putrov}, title = {Graph Neural Networks and 3-dimensional topology}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35026}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf097}, doi = {10.1088/2632-2153/ACF097}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/RiP23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/RodriguesAH23, author = {Nat{\'{a}}lia V. N. Rodrigues and L. Raul Abramo and Nina S. T. Hirata}, title = {The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45019}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0285}, doi = {10.1088/2632-2153/AD0285}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/RodriguesAH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/RosofskyH23, author = {Shawn G. Rosofsky and E. A. Huerta}, title = {Magnetohydrodynamics with physics informed neural operators}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35002}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ace30a}, doi = {10.1088/2632-2153/ACE30A}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/RosofskyH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/RozenbergF23, author = {Eyal Rozenberg and Daniel Freedman}, title = {Semi-equivariant conditional normalizing flows, with applications to target-aware molecule generation}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35037}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ace58c}, doi = {10.1088/2632-2153/ACE58C}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/RozenbergF23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/RydzewskiCV23, author = {Jakub Rydzewski and Ming Chen and Omar Valsson}, title = {Manifold learning in atomistic simulations: a conceptual review}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {31001}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ace81a}, doi = {10.1088/2632-2153/ACE81A}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/RydzewskiCV23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SarraM23, author = {Leopoldo Sarra and Florian Marquardt}, title = {Deep Bayesian experimental design for quantum many-body systems}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45022}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad020d}, doi = {10.1088/2632-2153/AD020D}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SarraM23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SchanzMRG23, author = {Tobias Schanz and Klas Ove M{\"{o}}ller and Saskia R{\"{u}}hl and David S. Greenberg}, title = {Robust detection of marine life with label-free image feature learning and probability calibration}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35007}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ace417}, doi = {10.1088/2632-2153/ACE417}, timestamp = {Sat, 27 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SchanzMRG23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SchuhmacherBBPGPVTBT23, author = {Julian Schuhmacher and Laura Boggia and Vasilis Belis and Ema Puljak and Michele Grossi and Maurizio Pierini and Sofia Vallecorsa and Francesco Tacchino and Panagiotis Kl. Barkoutsos and Ivano Tavernelli}, title = {Unravelling physics beyond the standard model with classical and quantum anomaly detection}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45031}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad07f7}, doi = {10.1088/2632-2153/AD07F7}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SchuhmacherBBPGPVTBT23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SeolLYK23, author = {Sujin Seol and Jungeun Lee and Jaewoo Yoon and Byeongwoo Kim}, title = {Improving {SOH} estimation for lithium-ion batteries using TimeGAN}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45007}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acfd08}, doi = {10.1088/2632-2153/ACFD08}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SeolLYK23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ShaikhRMSS23, author = {Rafia Shaikh and Muhammad Rafi and Naeem Ahmed Mahoto and Adel Sulaiman and Asadullah Shaikh}, title = {A filter-based feature selection approach in multilabel classification}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45018}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad035d}, doi = {10.1088/2632-2153/AD035D}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ShaikhRMSS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ShankarPBMV23, author = {Varun Shankar and Vedant Puri and Ramesh Balakrishnan and Romit Maulik and Venkatasubramanian Viswanathan}, title = {Differentiable physics-enabled closure modeling for Burgers' turbulence}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15017}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb19c}, doi = {10.1088/2632-2153/ACB19C}, timestamp = {Fri, 02 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ShankarPBMV23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ShenoyDHHNPTS23, author = {Rohan Shenoy and Javier M. Duarte and Christian Herwig and James Hirschauer and Daniel Noonan and Maurizio Pierini and Nhan Tran and Cristina Mantilla Suarez}, title = {Differentiable Earth mover's distance for data compression at the high-luminosity {LHC}}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45058}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad1139}, doi = {10.1088/2632-2153/AD1139}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ShenoyDHHNPTS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SheshmaniYFA23, author = {Artan Sheshmani and Yi{-}Zhuang You and Wenbo Fu and Ahmadreza Azizi}, title = {Categorical representation learning and {RG} flow operators for algorithmic classifiers}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15012}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb488}, doi = {10.1088/2632-2153/ACB488}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SheshmaniYFA23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ShmuelH23, author = {Assaf Shmuel and Eyal Heifetz}, title = {Developing novel machine-learning-based fire weather indices}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15029}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc008}, doi = {10.1088/2632-2153/ACC008}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ShmuelH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SigutFAED23, author = {Jos{\'{e}} F. Sigut and Francisco Fumero and Rafael Arnay and Jos{\'{e}} Est{\'{e}}vez and Tinguaro D{\'{\i}}az{-}Alem{\'{a}}n}, title = {Interpretable surrogate models to approximate the predictions of convolutional neural networks in glaucoma diagnosis}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45024}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0798}, doi = {10.1088/2632-2153/AD0798}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SigutFAED23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SootherPSTMGMNM23, author = {Dileep Kumar Soother and Manuel Dom{\'{\i}}nguez Pumar and Elisa Sayrol{-}Clols and Josefina Torres and Mercedes Mar{\'{\i}}n and Javier G{\'{o}}mez{-}Elvira and Luis Mora and Sara Navarro and Jos{\'{e}} Antonio Rodr{\'{\i}}guez Manfredi}, title = {Improving resilience of sensors in planetary exploration using data-driven models}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35041}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acefaa}, doi = {10.1088/2632-2153/ACEFAA}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SootherPSTMGMNM23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SoybelmanKHBDGGKS23, author = {Nathalie Soybelman and Nilotpal Kakati and Lukas Heinrich and Francesco Armando Di Bello and Etienne Dreyer and Sanmay Ganguly and Eilam Gross and Marumi Kado and Jonathan Shlomi}, title = {Set-conditional set generation for particle physics}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45036}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad035b}, doi = {10.1088/2632-2153/AD035B}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SoybelmanKHBDGGKS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SpiekermannSPG23, author = {Kevin A. Spiekermann and Thijs Stuyver and Lagnajit Pattanaik and William H. Green Jr.}, title = {Comment on 'Physics-based representations for machine learning properties of chemical reactions'}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {48001}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acee42}, doi = {10.1088/2632-2153/ACEE42}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SpiekermannSPG23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SuYXG23, author = {Mao Su and Ji{-}Hui Yang and Hongjun Xiang and Xingao Gong}, title = {Efficient determination of the Hamiltonian and electronic properties using graph neural network with complete local coordinates}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35010}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/accb26}, doi = {10.1088/2632-2153/ACCB26}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SuYXG23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/TampuHBE23, author = {Iulian Emil Tampu and Neda Haj{-}Hosseini and Ida Blystad and Anders Eklund}, title = {Deep learning-based detection and identification of brain tumor biomarkers in quantitative MR-images}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35038}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf095}, doi = {10.1088/2632-2153/ACF095}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/TampuHBE23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/TangL23, author = {Yao{-}Chi Tang and Kuo{-}Hao Li}, title = {A machine-learning approach to setting optimal thresholds and its application in rolling bearing fault diagnosis}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45030}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0ab3}, doi = {10.1088/2632-2153/AD0AB3}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/TangL23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/TemplinMVLAAR23, author = {Thomas Templin and Milad Memarzadeh and Walter Vinci and Paul Aaron Lott and Ata Akbari Asanjan and Anthony Alexiades Armenakas and Eleanor Gilbert Rieffel}, title = {Anomaly detection in aeronautics data with quantum-compatible discrete deep generative model}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35018}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ace756}, doi = {10.1088/2632-2153/ACE756}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/TemplinMVLAAR23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/TennantFKMAEE23, author = {Chris Tennant and Brian Freeman and Reza Kazimi and Daniel Moser and Dan T. Abell and Jonathan P. Edelen and Joshua Einstein{-}Curtis}, title = {A smart alarm for particle accelerator beamline operations}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15021}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb98d}, doi = {10.1088/2632-2153/ACB98D}, timestamp = {Sun, 06 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/TennantFKMAEE23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ThanasutivesMNF23, author = {Pongpisit Thanasutives and Takashi Morita and Masayuki Numao and Ken{-}ichi Fukui}, title = {Noise-aware physics-informed machine learning for robust {PDE} discovery}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15009}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb1f0}, doi = {10.1088/2632-2153/ACB1F0}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ThanasutivesMNF23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ThomasMitchellHP23, author = {Adam Thomas{-}Mitchell and Glenn I. Hawe and Paul L. A. Popelier}, title = {Calibration of uncertainty in the active learning of machine learning force fields}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45034}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0ab5}, doi = {10.1088/2632-2153/AD0AB5}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ThomasMitchellHP23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/TomasiniPCW23, author = {Umberto M. Tomasini and Leonardo Petrini and Francesco Cagnetta and Matthieu Wyart}, title = {How deep convolutional neural networks lose spatial information with training}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45026}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad092c}, doi = {10.1088/2632-2153/AD092C}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/TomasiniPCW23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ToveyKNH23, author = {Samuel Tovey and Sven Krippendorf and Konstantin Nikolaou and Christian Holm}, title = {Towards a phenomenological understanding of neural networks: data}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35040}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf099}, doi = {10.1088/2632-2153/ACF099}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ToveyKNH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/TrenkwalderLNFB23, author = {Lea M. Trenkwalder and Andrea L{\'{o}}pez{-}Incera and Hendrik Poulsen Nautrup and Fulvio Flamini and Hans J. Briegel}, title = {Automated gadget discovery in the quantum domain}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35043}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf098}, doi = {10.1088/2632-2153/ACF098}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/TrenkwalderLNFB23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/TrigilaSR23, author = {Carlotta Trigila and Anirudh Srikanth and Emilie Roncali}, title = {A generative adversarial network to speed up optical Monte Carlo simulations}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25005}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc782}, doi = {10.1088/2632-2153/ACC782}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/TrigilaSR23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Tseng23, author = {Ming{-}Hseng Tseng}, title = {GA-based weighted ensemble learning for multi-label aerial image classification using convolutional neural networks and vision transformers}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45045}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad10cf}, doi = {10.1088/2632-2153/AD10CF}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/Tseng23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/UlloaGCB23, author = {Christyan Cruz Ulloa and Luis Garrido and Jaime del Cerro and Antonio Barrientos}, title = {Autonomous victim detection system based on deep learning and multispectral imagery}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15018}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb6cf}, doi = {10.1088/2632-2153/ACB6CF}, timestamp = {Mon, 26 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/UlloaGCB23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/VelottiGKRPH23, author = {Francesco Velotti and Brennan Goddard and Verena Kain and Rebecca Louise Ramjiawan and Giovanni Zevi Della Porta and Simon Hirlaender}, title = {Towards automatic setup of 18 MeV electron beamline using machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25016}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acce21}, doi = {10.1088/2632-2153/ACCE21}, timestamp = {Mon, 26 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/VelottiGKRPH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/VenkatakrishnanFZVSHYAP23, author = {S. V. Venkatakrishnan and Chris M. Fancher and Maxim A. Ziatdinov and Rama K. Vasudevan and Kyle Saleeby and James Haley and Dunji Yu and Ke An and Alex Plotkowski}, title = {Adaptive sampling for accelerating neutron diffraction-based strain mapping \({}^{\mbox{*}}\)}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25001}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc512}, doi = {10.1088/2632-2153/ACC512}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/VenkatakrishnanFZVSHYAP23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/VitaS23, author = {Joshua A. Vita and Daniel Schwalbe{-}Koda}, title = {Data efficiency and extrapolation trends in neural network interatomic potentials}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35031}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf115}, doi = {10.1088/2632-2153/ACF115}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/VitaS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WeinreichRL23, author = {Jan Weinreich and Guido Falk von Rudorff and O. Anatole von Lilienfeld}, title = {Encrypted machine learning of molecular quantum properties}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25017}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc928}, doi = {10.1088/2632-2153/ACC928}, timestamp = {Sun, 22 Oct 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WeinreichRL23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WestSU23, author = {Maxwell T. West and Martin Sevior and Muhammad Usman}, title = {Reflection equivariant quantum neural networks for enhanced image classification}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35027}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acf096}, doi = {10.1088/2632-2153/ACF096}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/WestSU23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WilliamsVM23, author = {Michael J. Williams and John Veitch and Chris Messenger}, title = {Importance nested sampling with normalising flows}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35011}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acd5aa}, doi = {10.1088/2632-2153/ACD5AA}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WilliamsVM23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WirnsbergerIP23, author = {Peter Wirnsberger and Borja Ibarz and George Papamakarios}, title = {Estimating Gibbs free energies via isobaric-isothermal flows}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35039}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acefa8}, doi = {10.1088/2632-2153/ACEFA8}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WirnsbergerIP23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WuLWPHHHWC23, author = {Ao Wu and Li Liu and Zifeng Wang and Shurong Pan and Jiangxue Huang and Qijun Huang and Jin He and Hao Wang and Sheng Chang}, title = {Graph machine learning framework for depicting wavefunction on interface}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45037}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0937}, doi = {10.1088/2632-2153/AD0937}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/WuLWPHHHWC23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WunderlichS23, author = {Adam Wunderlich and Jack Sklar}, title = {Data-driven modeling of noise time series with convolutional generative adversarial networks \({}^{\mbox{{\({_\ast}\)}}}\)}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35023}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acee44}, doi = {10.1088/2632-2153/ACEE44}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WunderlichS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/XueLCCH23, author = {Tingting Xue and Xu Li and Xiaosong Chen and Li Chen and Zhangang Han}, title = {Machine learning phases in swarming systems}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15028}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc007}, doi = {10.1088/2632-2153/ACC007}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/XueLCCH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/YangW23, author = {Jun Yang and James Whitfield}, title = {Machine-learning Kohn-Sham potential from dynamics in time-dependent Kohn-Sham systems}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {3}, pages = {35022}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ace8f0}, doi = {10.1088/2632-2153/ACE8F0}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/YangW23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/YeeIMT23, author = {Jingzu Yee and Daichi Igarashi and Shun Miyatake and Yoshiyuki Tagawa}, title = {Prediction of the morphological evolution of a splashing drop using an encoder-decoder}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {2}, pages = {25002}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acc727}, doi = {10.1088/2632-2153/ACC727}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/YeeIMT23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ZhangCWWLH23, author = {Baiyi Zhang and Guobiao Cai and Huiyan Weng and Weizong Wang and Lihui Liu and Bijiao He}, title = {Physics-informed neural networks for solving forward and inverse Vlasov-Poisson equation via fully kinetic simulation}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45015}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad03d5}, doi = {10.1088/2632-2153/AD03D5}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ZhangCWWLH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ZhangGCBSL23, author = {Weiyi Zhang and Chau Minh Giang and Qingan Cai and Behnam Badie and Jun Sheng and Chen Li}, title = {Using random forest for brain tissue identification by Raman spectroscopy}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45053}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad1349}, doi = {10.1088/2632-2153/AD1349}, timestamp = {Tue, 02 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ZhangGCBSL23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ZhangLLHM23, author = {Xian Zhang and Diquan Li and Bei Liu and Yanfang Hu and Yao Mo}, title = {Intelligent processing of electromagnetic data using detrended and identification}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45041}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad0c40}, doi = {10.1088/2632-2153/AD0C40}, timestamp = {Mon, 01 Apr 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ZhangLLHM23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ZiatdinovWK23, author = {Maxim A. Ziatdinov and Chun Yin Wong and Sergei V. Kalinin}, title = {Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencoders \({}^{\mbox{*}}\)}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {4}, pages = {45033}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/ad073b}, doi = {10.1088/2632-2153/AD073B}, timestamp = {Fri, 22 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/ZiatdinovWK23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AllenB22, author = {Connor Allen and Albert P. Bart{\'{o}}k}, title = {Optimal data generation for machine learned interatomic potentials}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45031}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac9ae7}, doi = {10.1088/2632-2153/AC9AE7}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AllenB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AmanovaME22, author = {Narbota Amanova and J{\"{o}}rg Martin and Clemens Elster}, title = {Explainability for deep learning in mammography image quality assessment}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {2}, pages = {25015}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac7a03}, doi = {10.1088/2632-2153/AC7A03}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AmanovaME22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AnzaloneDB22, author = {Luca Anzalone and Tommaso Diotalevi and Daniele Bonacorsi}, title = {Improving parametric neural networks for high-energy physics (and beyond)}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {3}, pages = {35017}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac917c}, doi = {10.1088/2632-2153/AC917C}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AnzaloneDB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AsnaashariK22, author = {Kasra Asnaashari and Roman V. Krems}, title = {Gradient domain machine learning with composite kernels: improving the accuracy of {PES} and force fields for large molecules}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15005}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac3845}, doi = {10.1088/2632-2153/AC3845}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AsnaashariK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AvulaVBB22, author = {Nikhil V. S. Avula and Shivanand K. Veesam and Sudarshan Behera and Sundaram Balasubramanian}, title = {Building robust machine learning models for small chemical science data: the case of shear viscosity of fluids}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45032}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/acac01}, doi = {10.1088/2632-2153/ACAC01}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AvulaVBB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BaekOP22, author = {Jihye Baek and Avice M. O'Connell and Kevin J. Parker}, title = {Improving breast cancer diagnosis by incorporating raw ultrasound parameters into machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45013}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac9bcc}, doi = {10.1088/2632-2153/AC9BCC}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BaekOP22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BarrettAGW22, author = {Rainier Barrett and Mehrad Ansari and Gourab Ghoshal and Andrew D. White}, title = {Simulation-based inference with approximately correct parameters via maximum entropy}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {2}, pages = {25006}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac6286}, doi = {10.1088/2632-2153/AC6286}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BarrettAGW22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BhatiaTAJOILB22, author = {Harsh Bhatia and Jayaraman J. Thiagarajan and Rushil Anirudh and T. S. Jayram and Tomas Oppelstrup and Helgi I. Ing{\'{o}}lfsson and Felice C. Lightstone and Peer{-}Timo Bremer}, title = {A biology-informed similarity metric for simulated patches of human cell membrane}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {3}, pages = {35010}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac8523}, doi = {10.1088/2632-2153/AC8523}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BhatiaTAJOILB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BottcherA22, author = {Lucas B{\"{o}}ttcher and Thomas Asikis}, title = {Near-optimal control of dynamical systems with neural ordinary differential equations}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45004}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac92c3}, doi = {10.1088/2632-2153/AC92C3}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BottcherA22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BradleyGV22, author = {Arwen V. Bradley and Carlos Alberto Gomez{-}Uribe and Manish Reddy Vuyyuru}, title = {Shift-curvature, SGD, and generalization}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45002}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac92c4}, doi = {10.1088/2632-2153/AC92C4}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BradleyGV22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BuhmannDHKKEGKM22, author = {Erik Buhmann and Sascha Diefenbacher and Daniel Hundhausen and Gregor Kasieczka and William Korcari and Engin Eren and Frank Gaede and Katja Kr{\"{u}}ger and Peter McKeown and Lennart Rustige}, title = {Hadrons, better, faster, stronger}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {2}, pages = {25014}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac7848}, doi = {10.1088/2632-2153/AC7848}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BuhmannDHKKEGKM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BuskJBSWV22, author = {Jonas Busk and Peter Bj{\o}rn J{\o}rgensen and Arghya Bhowmik and Mikkel N. Schmidt and Ole Winther and Tejs Vegge}, title = {Calibrated uncertainty for molecular property prediction using ensembles of message passing neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15012}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac3eb3}, doi = {10.1088/2632-2153/AC3EB3}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BuskJBSWV22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ChaGWCMK22, author = {Peter Cha and Paul Ginsparg and Felix Wu and Juan Carrasquilla and Peter L. McMahon and Eun{-}Ah Kim}, title = {Attention-based quantum tomography}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {01}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac362b}, doi = {10.1088/2632-2153/AC362B}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ChaGWCMK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ChangNJRPV22, author = {Yu{-}Wei Chang and Laura Natali and Oveis Jamialahmadi and Stefano Romeo and Joana B. Pereira and Giovanni Volpe}, title = {Neural network training with highly incomplete medical datasets}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {3}, pages = {35001}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac7b69}, doi = {10.1088/2632-2153/AC7B69}, timestamp = {Fri, 08 Mar 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/ChangNJRPV22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ChenHHGK22, author = {Samuel Yen{-}Chi Chen and Chih{-}Min Huang and Chia{-}Wei Hsing and Hsi{-}Sheng Goan and Ying{-}Jer Kao}, title = {Variational quantum reinforcement learning via evolutionary optimization}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15025}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac4559}, doi = {10.1088/2632-2153/AC4559}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ChenHHGK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ChoSKJ22, author = {Woon Hyung Cho and Jiseon Shin and Young Duck Kim and George J. Jung}, title = {Pixel-wise classification in graphene-detection with tree-based machine learning algorithms}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45029}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/aca744}, doi = {10.1088/2632-2153/ACA744}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ChoSKJ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CiprijanovicKSS22, author = {Aleksandra Ciprijanovic and Diana Kafkes and Gregory F. Snyder and F. Javier S{\'{a}}nchez and Gabriel Nathan Perdue and Kevin Pedro and Brian Nord and Sandeep Madireddy and Stefan M. Wild}, title = {DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {3}, pages = {35007}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac7f1a}, doi = {10.1088/2632-2153/AC7F1A}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CiprijanovicKSS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ClavijoGJK22, author = {Jose M. Clavijo and Paul Glaysher and J. Jitsev and Judith M. Katzy}, title = {Adversarial domain adaptation to reduce sample bias of a high energy physics event classifier \({}^{\mbox{*}}\)}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15014}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac3dde}, doi = {10.1088/2632-2153/AC3DDE}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ClavijoGJK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ConvyHLW22, author = {Ian Convy and William J. Huggins and Haoran Liao and K. Birgitta Whaley}, title = {Mutual information scaling for tensor network machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15017}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac44a9}, doi = {10.1088/2632-2153/AC44A9}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ConvyHLW22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ConvyW22, author = {Ian Convy and K. Birgitta Whaley}, title = {Interaction decompositions for tensor network regression}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45027}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/aca271}, doi = {10.1088/2632-2153/ACA271}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ConvyW22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CreangeDVZK22, author = {Nicole Creange and Ondrej Dyck and Rama K. Vasudevan and Maxim A. Ziatdinov and Sergei V. Kalinin}, title = {Towards automating structural discovery in scanning transmission electron microscopy \({}^{\mbox{*}}\)}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15024}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac3844}, doi = {10.1088/2632-2153/AC3844}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CreangeDVZK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CunhaAFL22, author = {Carlo R. da Cunha and Nobuyuki P. Aoki and David K. Ferry and Ying{-}Cheng Lai}, title = {A method for finding the background potential of quantum devices from scanning gate microscopy data using machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {2}, pages = {25013}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac6ec7}, doi = {10.1088/2632-2153/AC6EC7}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CunhaAFL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CzischekYGRRLMP22, author = {Stefanie Czischek and Victor Yon and Marc{-}Antoine Genest and Marc{-}Antoine Roux and Sophie Rochette and Julien Camirand Lemyre and Mathieu Moras and Michel Pioro{-}Ladriere and Dominique Drouin and Yann Beilliard and Roger G. Melko}, title = {Miniaturizing neural networks for charge state autotuning in quantum dots}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15001}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac34db}, doi = {10.1088/2632-2153/AC34DB}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CzischekYGRRLMP22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DawidHTLD22, author = {Anna Dawid and Patrick Huembeli and Michal Tomza and Maciej Lewenstein and Alexandre Dauphin}, title = {Hessian-based toolbox for reliable and interpretable machine learning in physics}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15002}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac338d}, doi = {10.1088/2632-2153/AC338D}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/DawidHTLD22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ErbinFST22, author = {Harold Erbin and Riccardo Finotello and Robin Schneider and Mohamed Tamaazousti}, title = {Deep multi-task mining Calabi-Yau four-folds}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15006}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac37f7}, doi = {10.1088/2632-2153/AC37F7}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ErbinFST22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ErbinLS22, author = {Harold Erbin and Vincent Lahoche and Dine Ousmane Samary}, title = {Non-perturbative renormalization for the neural network-QFT correspondence}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15027}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac4f69}, doi = {10.1088/2632-2153/AC4F69}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ErbinLS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FabregatGHEC22, author = {Raimon Fabregat and Puck van Gerwen and Matthieu Haeberle and Friedrich Eisenbrand and Cl{\'{e}}mence Corminboeuf}, title = {Metric learning for kernel ridge regression: assessment of molecular similarity}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {3}, pages = {35015}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac8e4f}, doi = {10.1088/2632-2153/AC8E4F}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FabregatGHEC22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FanelliGP22, author = {Cristiano Fanelli and James Giroux and Z. Papandreou}, title = {'Flux+Mutability': a conditional generative approach to one-class classification and anomaly detection}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45012}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac9bcb}, doi = {10.1088/2632-2153/AC9BCB}, timestamp = {Thu, 19 Oct 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FanelliGP22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FerreiraMR22, author = {Diogo R. Ferreira and Tiago A. Martins and Paulo Rodrigues}, title = {Explainable deep learning for the analysis of {MHD} spectrograms in nuclear fusion}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15015}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac44aa}, doi = {10.1088/2632-2153/AC44AA}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FerreiraMR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FiedlerHMPYOERC22, author = {Lenz Fiedler and Nils Hoffmann and Parvez Mohammed and Gabriel A. Popoola and Tamar Yovell and Vladyslav Oles and J. Austin Ellis and Sivasankaran Rajamanickam and Attila Cangi}, title = {Training-free hyperparameter optimization of neural networks for electronic structures in matter}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45008}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac9956}, doi = {10.1088/2632-2153/AC9956}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FiedlerHMPYOERC22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FleckMWT22, author = {Markus Fleck and Michael G. M{\"{u}}ller and Noah Weber and Christopher Trummer}, title = {Decoupled coordinates for machine learning-based molecular fragment linking}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15029}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac50fc}, doi = {10.1088/2632-2153/AC50FC}, timestamp = {Sun, 05 Mar 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/FleckMWT22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FritschGKSZ22, author = {Amilson R. Fritsch and Shangjie Guo and Sophia M. Koh and Ian B. Spielman and Justyna P. Zwolak}, title = {Dark solitons in Bose-Einstein condensates: a dataset for many-body physics research}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {47001}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac9454}, doi = {10.1088/2632-2153/AC9454}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FritschGKSZ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FungJZBYG22, author = {Victor Fung and Shuyi Jia and Jiaxin Zhang and Sirui Bi and Junqi Yin and Panchapakesan Ganesh}, title = {Atomic structure generation from reconstructing structural fingerprints}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45018}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/aca1f7}, doi = {10.1088/2632-2153/ACA1F7}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FungJZBYG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GarlandMTTB22, author = {Nathan A Garland and Romit Maulik and Qi Tang and Xian{-}Zhu Tang and Prasanna Balaprakash}, title = {Efficient data acquisition and training of collisional-radiative model artificial neural network surrogates through adaptive parameter space sampling}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45003}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac93e7}, doi = {10.1088/2632-2153/AC93E7}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GarlandMTTB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GedeonSHWBM22, author = {Johannes Gedeon and Jonathan Schmidt and Matthew J. P. Hodgson and Jack Wetherell and Carlos L. Benavides{-}Riveros and Miguel A. L. Marques}, title = {Machine learning the derivative discontinuity of density-functional theory}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15011}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac3149}, doi = {10.1088/2632-2153/AC3149}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GedeonSHWBM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GengHZ22, author = {Chenhua Geng and Hong{-}Ye Hu and Yijian Zou}, title = {Differentiable programming of isometric tensor networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15020}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac48a2}, doi = {10.1088/2632-2153/AC48A2}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GengHZ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GenhedenEB22, author = {Samuel Genheden and Ola Engkvist and Esben Jannik Bjerrum}, title = {Fast prediction of distances between synthetic routes with deep learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15018}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac4a91}, doi = {10.1088/2632-2153/AC4A91}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GenhedenEB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GeraceSMSZ22, author = {Federica Gerace and Luca Saglietti and Stefano Sarao Mannelli and Andrew M. Saxe and Lenka Zdeborov{\'{a}}}, title = {Probing transfer learning with a model of synthetic correlated datasets}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15030}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac4f3f}, doi = {10.1088/2632-2153/AC4F3F}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GeraceSMSZ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GerwenFWC22, author = {Puck van Gerwen and Alberto Fabrizio and Matthew D. Wodrich and Cl{\'{e}}mence Corminboeuf}, title = {Physics-based representations for machine learning properties of chemical reactions}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45005}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac8f1a}, doi = {10.1088/2632-2153/AC8F1A}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GerwenFWC22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GhielmettiLPRSAPLNLH22, author = {Nicol{\`{o}} Ghielmetti and Vladimir Loncar and Maurizio Pierini and Marcel Roed and Sioni Summers and Thea Aarrestad and Christoffer Petersson and Hampus Linander and Jennifer Ngadiuba and Kelvin Lin and Philip C. Harris}, title = {Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45011}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac9cb5}, doi = {10.1088/2632-2153/AC9CB5}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GhielmettiLPRSAPLNLH22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GriffithsAGLL22, author = {Ryan{-}Rhys Griffiths and Alexander A. Aldrick and Miguel Garcia{-}Ortegon and Vidhi Lalchand and Alpha A. Lee}, title = {Achieving robustness to aleatoric uncertainty with heteroscedastic Bayesian optimisation}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15004}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac298c}, doi = {10.1088/2632-2153/AC298C}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GriffithsAGLL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HoffmannSHMSHKW22, author = {Moritz Hoffmann and Martin Scherer and Tim Hempel and Andreas Mardt and Brian de Silva and Brooke E. Husic and Stefan Klus and Hao Wu and J. Nathan Kutz and Steven L. Brunton and Frank No{\'{e}}}, title = {Deeptime: a Python library for machine learning dynamical models from time series data}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15009}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac3de0}, doi = {10.1088/2632-2153/AC3DE0}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HoffmannSHMSHKW22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HuMUM22, author = {Yuge Hu and Joseph Musielewicz and Zachary W. Ulissi and Andrew J. Medford}, title = {Robust and scalable uncertainty estimation with conformal prediction for machine-learned interatomic potentials}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45028}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/aca7b1}, doi = {10.1088/2632-2153/ACA7B1}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HuMUM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HuWYOC22, author = {Hong{-}Ye Hu and Dian Wu and Yi{-}Zhuang You and Bruno A. Olshausen and Yubei Chen}, title = {RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {3}, pages = {35009}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac8393}, doi = {10.1088/2632-2153/AC8393}, timestamp = {Sun, 12 Nov 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/HuWYOC22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HuangB22, author = {W. Huang and Amanda S. Barnard}, title = {Federated data processing and learning for collaboration in the physical sciences}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45023}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/aca87c}, doi = {10.1088/2632-2153/ACA87C}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HuangB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HuoR22, author = {Haoyan Huo and Matthias Rupp}, title = {Unified representation of molecules and crystals for machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45017}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/aca005}, doi = {10.1088/2632-2153/ACA005}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HuoR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/IrwinDHB22, author = {Ross Irwin and Spyridon Dimitriadis and Jiazhen He and Esben Jannik Bjerrum}, title = {Chemformer: a pre-trained transformer for computational chemistry}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15022}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac3ffb}, doi = {10.1088/2632-2153/AC3FFB}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/IrwinDHB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/IzzatullahYWA22, author = {Muhammad Izzatullah and Isa Eren Yildirim and Umair bin Waheed and Tariq Alkhalifah}, title = {Laplace HypoPINN: physics-informed neural network for hypocenter localization and its predictive uncertainty}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45001}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac94b3}, doi = {10.1088/2632-2153/AC94B3}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/IzzatullahYWA22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/JalaliZKR22, author = {Bahram Jalali and Yiming Zhou and Achuta Kadambi and Vwani Roychowdhury}, title = {Physics-AI symbiosis}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {41001}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac9215}, doi = {10.1088/2632-2153/AC9215}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/JalaliZKR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/JhaHVWJ22, author = {Jayant Jha and Meysam Hashemi and Anirudh Nihalani Vattikonda and Huifang E. Wang and Viktor K. Jirsa}, title = {Fully Bayesian estimation of virtual brain parameters with self-tuning Hamiltonian Monte Carlo}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {3}, pages = {35016}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac9037}, doi = {10.1088/2632-2153/AC9037}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/JhaHVWJ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KadupitiyaFJ22, author = {J. C. S. Kadupitiya and Geoffrey C. Fox and Vikram Jadhao}, title = {Solving Newton's equations of motion with large timesteps using recurrent neural networks based operators}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {2}, pages = {25002}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac5f60}, doi = {10.1088/2632-2153/AC5F60}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KadupitiyaFJ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KahemanBK22, author = {Kadierdan Kaheman and Steven L. Brunton and J. Nathan Kutz}, title = {Automatic differentiation to simultaneously identify nonlinear dynamics and extract noise probability distributions from data}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15031}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac567a}, doi = {10.1088/2632-2153/AC567A}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KahemanBK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KahnTTRDBTGBSG22, author = {James Kahn and Ilias Tsaklidis and Oskar Taubert and Lea Reuter and Giulio Dujany and Tobias Boeckh and Arthur Thaller and Pablo Goldenzweig and Florian Bernlochner and Achim Streit and Markus G{\"{o}}tz}, title = {Learning tree structures from leaves for particle decay reconstruction}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {3}, pages = {35012}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac8de0}, doi = {10.1088/2632-2153/AC8DE0}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KahnTTRDBTGBSG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KasimWDOHFGJKKT22, author = {Muhammad Firmansyah Kasim and Duncan Watson{-}Parris and Lucia Deaconu and Sophy Oliver and Peter W. Hatfield and Dustin H. Froula and Gianluca Gregori and Matt Jarvis and Samar Khatiwala and Jun Korenaga and Jacob Topp{-}Mugglestone and Eleonora Viezzer and Sam M. Vinko}, title = {Building high accuracy emulators for scientific simulations with deep neural architecture search}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15013}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac3ffa}, doi = {10.1088/2632-2153/AC3FFA}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KasimWDOHFGJKKT22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KaspschakM22, author = {Bastian Kaspschak and Ulf{-}G. Mei{\ss}ner}, title = {Three-body renormalization group limit cycles based on unsupervised feature learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {2}, pages = {25003}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac579b}, doi = {10.1088/2632-2153/AC579B}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KaspschakM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KhullarNCPX22, author = {Gourav Khullar and Brian Nord and Aleksandra Ciprijanovic and Jason Poh and Fei Xu}, title = {{DIGS:} deep inference of galaxy spectra with neural posterior estimation}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {4}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac98f4}, doi = {10.1088/2632-2153/AC98F4}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KhullarNCPX22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KissTVT22, author = {Oriel Kiss and Francesco Tacchino and Sofia Vallecorsa and Ivano Tavernelli}, title = {Quantum neural networks force fields generation}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {3}, pages = {35004}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac7d3c}, doi = {10.1088/2632-2153/AC7D3C}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KissTVT22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KrippendorfS22, author = {Sven Krippendorf and Michael Spannowsky}, title = {A duality connecting neural network and cosmological dynamics}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {3}, pages = {35011}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac87e9}, doi = {10.1088/2632-2153/AC87E9}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KrippendorfS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KustowskiGSAABT22, author = {Bogdan Kustowski and Jim A. Gaffney and Brian K. Spears and Gemma J. Anderson and Rushil Anirudh and Peer{-}Timo Bremer and Jayaraman J. Thiagarajan and Michael K. G. Kruse and Ryan Nora}, title = {Suppressing simulation bias in multi-modal data using transfer learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15035}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac5e3e}, doi = {10.1088/2632-2153/AC5E3E}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KustowskiGSAABT22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LarforsLRS22, author = {Magdalena Larfors and Andr{\'{e}} Lukas and Fabian Ruehle and Robin Schneider}, title = {Numerical metrics for complete intersection and Kreuzer-Skarke Calabi-Yau manifolds}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {3}, pages = {35014}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac8e4e}, doi = {10.1088/2632-2153/AC8E4E}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LarforsLRS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LeeCKCBYBC22, author = {Wonkyeong Lee and Eunbyeol Cho and Wonjin Kim and Hyebin Choi and Kyongmin Sarah Beck and Hyun Jung Yoon and Jongduk Baek and Jang{-}Hwan Choi}, title = {No-reference perceptual {CT} image quality assessment based on a self-supervised learning framework}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45033}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/aca87d}, doi = {10.1088/2632-2153/ACA87D}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LeeCKCBYBC22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LiuLZYS22, author = {Junyu Liu and Zimu Li and Han Zheng and Xiao Yuan and Jinzhao Sun}, title = {Towards a variational Jordan-Lee-Preskill quantum algorithm}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45030}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/aca06b}, doi = {10.1088/2632-2153/ACA06B}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LiuLZYS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LohaniLGSK22, author = {Sanjaya Lohani and Joseph M. Lukens and Ryan T. Glasser and Thomas A. Searles and Brian T. Kirby}, title = {Data-centric machine learning in quantum information science}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {4}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac9036}, doi = {10.1088/2632-2153/AC9036}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LohaniLGSK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LollieMBHYLMQ22, author = {Michelle L. J. Lollie and Fatemeh Mostafavi and Narayan Bhusal and Mingyuan Hong and Chenglong You and Roberto de J. Le{\'{o}}n{-}Montiel and Omar S. Maga{\~{n}}a{-}Loaiza and Mario Alan Quiroz{-}Ju{\'{a}}rez}, title = {High-dimensional encryption in optical fibers using spatial modes of light and machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {3}, pages = {35006}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac7f1b}, doi = {10.1088/2632-2153/AC7F1B}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LollieMBHYLMQ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LucibelloPPZ22, author = {Carlo Lucibello and Fabrizio Pittorino and Gabriele Perugini and Riccardo Zecchina}, title = {Deep learning via message passing algorithms based on belief propagation}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {3}, pages = {35005}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac7d3b}, doi = {10.1088/2632-2153/AC7D3B}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LucibelloPPZ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MadduSMS22, author = {Suryanarayana Maddu and Dominik Sturm and Christian L. M{\"{u}}ller and Ivo F. Sbalzarini}, title = {Inverse Dirichlet weighting enables reliable training of physics informed neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15026}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac3712}, doi = {10.1088/2632-2153/AC3712}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MadduSMS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MagarWLLRLF22, author = {Rishikesh Magar and Yuyang Wang and Cooper Lorsung and Chen Liang and Hariharan Ramasubramanian and Peiyuan Li and Amir Barati Farimani}, title = {AugLiChem: data augmentation library of chemical structures for machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45015}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac9c84}, doi = {10.1088/2632-2153/AC9C84}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MagarWLLRLF22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MaierNCGPS22, author = {Benedikt Maier and S. M. Narayanan and G. de Castro and Maxim Goncharov and Christoph Paus and Matthias Schott}, title = {Pile-up mitigation using attention}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {2}, pages = {25012}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac7198}, doi = {10.1088/2632-2153/AC7198}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MaierNCGPS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MalavathD22, author = {Pallavi Malavath and Nagaraju Devarakonda}, title = {Coot optimization based Enhanced Global Pyramid Network for 3D hand pose estimation}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45019}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac9fa5}, doi = {10.1088/2632-2153/AC9FA5}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MalavathD22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ManzhosSI22, author = {Sergei Manzhos and Eita Sasaki and Manabu Ihara}, title = {Easy representation of multivariate functions with low-dimensional terms via Gaussian process regression kernel design: applications to machine learning of potential energy surfaces and kinetic energy densities from sparse data}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {01}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac4949}, doi = {10.1088/2632-2153/AC4949}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ManzhosSI22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MatchevS22, author = {Konstantin T. Matchev and Prasanth Shyamsundar}, title = {InClass nets: independent classifier networks for nonparametric estimation of conditional independence mixture models and unsupervised classification}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {2}, pages = {25008}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac6483}, doi = {10.1088/2632-2153/AC6483}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MatchevS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MeldgaardKMCNH22, author = {S{\o}ren Ager Meldgaard and Jonas K{\"{o}}hler and Henrik Lund Mortensen and Mads{-}Peter V. Christiansen and Frank No{\'{e}} and Bj{\o}rk Hammer}, title = {Generating stable molecules using imitation and reinforcement learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15008}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac3eb4}, doi = {10.1088/2632-2153/AC3EB4}, timestamp = {Wed, 07 Dec 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/MeldgaardKMCNH22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MenaryP22, author = {Stephen B. Menary and Darren D. Price}, title = {Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciences}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15021}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac4a3b}, doi = {10.1088/2632-2153/AC4A3B}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MenaryP22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Mishra-Sharma22, author = {Siddharth Mishra{-}Sharma}, title = {Inferring dark matter substructure with astrometric lensing beyond the power spectrum}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {01}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac494a}, doi = {10.1088/2632-2153/AC494A}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Mishra-Sharma22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MohapatraAG22, author = {Somesh Mohapatra and Joyce An and Rafael G{\'{o}}mez{-}Bombarelli}, title = {Chemistry-informed macromolecule graph representation for similarity computation, unsupervised and supervised learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15028}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac545e}, doi = {10.1088/2632-2153/AC545E}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MohapatraAG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MonderkampSKL22, author = {Paul A. Monderkamp and Fabian Jan Schwarzendahl and Michael Andreas Klatt and Hartmut L{\"{o}}wen}, title = {Active particles using reinforcement learning to navigate in complex motility landscapes}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45024}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/aca7b0}, doi = {10.1088/2632-2153/ACA7B0}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MonderkampSKL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MorenoBPVS22, author = {Eric A. Moreno and Bartlomiej Borzyszkowski and Maurizio Pierini and Jean{-}Roch Vlimant and Maria Spiropulu}, title = {Source-agnostic gravitational-wave detection with recurrent autoencoders}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {2}, pages = {25001}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac5435}, doi = {10.1088/2632-2153/AC5435}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MorenoBPVS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MuHR22, author = {Wei Mu and Alexander I. Himmel and Bryan Ramson}, title = {Photon detection probability prediction using one-dimensional generative neural network}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15033}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac58e2}, doi = {10.1088/2632-2153/AC58E2}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MuHR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MunozBO22, author = {Jose M. Munoz and Ilyes Batatia and Christoph Ortner}, title = {Boost invariant polynomials for efficient jet tagging}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {4}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/aca9ca}, doi = {10.1088/2632-2153/ACA9CA}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MunozBO22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MusielewiczWTU22, author = {Joseph Musielewicz and Xiaoxiao Wang and Tian Tian and Zachary W. Ulissi}, title = {{FINETUNA:} fine-tuning accelerated molecular simulations}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {3}, pages = {3}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac8fe0}, doi = {10.1088/2632-2153/AC8FE0}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MusielewiczWTU22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/NautrupMIJTWBR22, author = {Hendrik Poulsen Nautrup and Tony Metger and Raban Iten and Sofi{\`{e}}ne Jerbi and Lea M. Trenkwalder and Henrik Wilming and Hans J. Briegel and Renato Renner}, title = {Operationally meaningful representations of physical systems in neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45025}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac9ae8}, doi = {10.1088/2632-2153/AC9AE8}, timestamp = {Mon, 05 Feb 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/NautrupMIJTWBR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/NguyenHTN22, author = {Quoc Chuong Nguyen and Le Bin Ho and Lan Nguyen Tran and Hung Q. Nguyen}, title = {Qsun: an open-source platform towards practical quantum machine learning applications}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15034}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac5997}, doi = {10.1088/2632-2153/AC5997}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/NguyenHTN22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/NiroomandCMW22, author = {Maximilian P. Niroomand and Conor T. Cafolla and John W. R. Morgan and David J. Wales}, title = {Characterising the area under the curve loss function landscape}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15019}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac49a9}, doi = {10.1088/2632-2153/AC49A9}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/NiroomandCMW22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/NiroomandMCW22, author = {Maximilian P. Niroomand and John W. R. Morgan and Conor T. Cafolla and David J. Wales}, title = {On the capacity and superposition of minima in neural network loss function landscapes}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {2}, pages = {25004}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac64e6}, doi = {10.1088/2632-2153/AC64E6}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/NiroomandMCW22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/NoormandipourYH22, author = {Mohammadreza Noormandipour and Sun Youran and Babak Haghighat}, title = {Restricted Boltzmann machine representation for the groundstate and excited states of Kitaev Honeycomb model}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15010}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac3ddf}, doi = {10.1088/2632-2153/AC3DDF}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/NoormandipourYH22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/PasiniZRC22, author = {Massimiliano Lupo Pasini and Pei Zhang and Samuel Temple Reeve and Jong Youl Choi}, title = {Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems \({}^{\mbox{*}}\)}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {2}, pages = {25007}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac6a51}, doi = {10.1088/2632-2153/AC6A51}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/PasiniZRC22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/PoelkingFC22, author = {Carl Poelking and Felix A. Faber and Bingqing Cheng}, title = {BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {40501}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac4d11}, doi = {10.1088/2632-2153/AC4D11}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/PoelkingFC22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/PolAGHKKLNPSS22, author = {Adrian Alan Pol and Thea Aarrestad and Ekaterina Govorkova and Roi Halily and Anat Klempner and Tal Kopetz and Vladimir Loncar and Jennifer Ngadiuba and Maurizio Pierini and Olya Sirkin and Sioni Summers}, title = {Lightweight jet reconstruction and identification as an object detection task}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {2}, pages = {25016}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac7a02}, doi = {10.1088/2632-2153/AC7A02}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/PolAGHKKLNPSS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/PozdnyakovC22, author = {Sergey N. Pozdnyakov and Michele Ceriotti}, title = {Incompleteness of graph neural networks for points clouds in three dimensions}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45020}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/aca1f8}, doi = {10.1088/2632-2153/ACA1F8}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/PozdnyakovC22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/RehG22, author = {Moritz Reh and Martin G{\"{a}}rttner}, title = {Variational Monte Carlo approach to partial differential equations with neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {4}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/aca317}, doi = {10.1088/2632-2153/ACA317}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/RehG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/RodriguezUEDK22, author = {Luis E. Herrera Rodr{\'{\i}}guez and Arif Ullah and Kennet J. Rueda Espinosa and Pavlo O. Dral and Alexei A Kananenka}, title = {A comparative study of different machine learning methods for dissipative quantum dynamics}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45016}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac9a9d}, doi = {10.1088/2632-2153/AC9A9D}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/RodriguezUEDK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SchreinerBVJW22, author = {Mathias Schreiner and Arghya Bhowmik and Tejs Vegge and Peter Bj{\o}rn J{\o}rgensen and Ole Winther}, title = {NeuralNEB - neural networks can find reaction paths fast}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45022}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/aca23e}, doi = {10.1088/2632-2153/ACA23E}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SchreinerBVJW22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SeguraMT22, author = {Carolina Herrera Segura and Edison Montoya and Diego Tapias}, title = {Subaging in underparametrized deep neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {3}, pages = {35013}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac8f1b}, doi = {10.1088/2632-2153/AC8F1B}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SeguraMT22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ShenHOKZ22, author = {Hongyu Shen and E. A. Huerta and Eamonn O'Shea and Prayush Kumar and Zhizhen Zhao}, title = {Statistically-informed deep learning for gravitational wave parameter estimation}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15007}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac3843}, doi = {10.1088/2632-2153/AC3843}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ShenHOKZ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SheshmaniY22, author = {Artan Sheshmani and Yi{-}Zhuang You}, title = {Categorical representation learning: morphism is all you need}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15016}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac2c5d}, doi = {10.1088/2632-2153/AC2C5D}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SheshmaniY22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/StaackeWKCRM22, author = {Carsten G. Staacke and Simon Wengert and Christian Kunkel and G{\'{a}}bor Cs{\'{a}}nyi and Karsten Reuter and Johannes T. Margraf}, title = {Kernel charge equilibration: efficient and accurate prediction of molecular dipole moments with a machine-learning enhanced electron density model}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15032}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac568d}, doi = {10.1088/2632-2153/AC568D}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/StaackeWKCRM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/StockerGBGM22, author = {Sina Stocker and Johannes Gasteiger and Florian Becker and Stephan G{\"{u}}nnemann and Johannes T. Margraf}, title = {How robust are modern graph neural network potentials in long and hot molecular dynamics simulations?}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45010}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac9955}, doi = {10.1088/2632-2153/AC9955}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/StockerGBGM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/StormGM22, author = {L. Storm and Kristian Gustavsson and Bernhard Mehlig}, title = {Constraints on parameter choices for successful time-series prediction with echo-state networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45021}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/aca1f6}, doi = {10.1088/2632-2153/ACA1F6}, timestamp = {Fri, 12 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/StormGM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SuzukiTSUO22, author = {Yuta Suzuki and Tatsunori Taniai and Kotaro Saito and Yoshitaka Ushiku and Kanta Ono}, title = {Self-supervised learning of materials concepts from crystal structures via deep neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45034}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/aca23d}, doi = {10.1088/2632-2153/ACA23D}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SuzukiTSUO22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/TeruyaTMHO22, author = {Eri Teruya and Tadashi Takeuchi and Hidekazu Morita and Takayuki Hayashi and Kanta Ono}, title = {{ARTS:} autonomous research topic selection system using word embeddings and network analysis}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {2}, pages = {25005}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac61eb}, doi = {10.1088/2632-2153/AC61EB}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/TeruyaTMHO22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ThiedeKNA22, author = {Luca A. Thiede and Mario Krenn and AkshatKumar Nigam and Al{\'{a}}n Aspuru{-}Guzik}, title = {Curiosity in exploring chemical spaces: intrinsic rewards for molecular reinforcement learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {3}, pages = {35008}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac7ddc}, doi = {10.1088/2632-2153/AC7DDC}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ThiedeKNA22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ThieleCCHS22, author = {Leander Thiele and Miles D. Cranmer and William R. Coulton and Shirley Ho and David N. Spergel}, title = {Predicting the thermal Sunyaev-Zel'dovich field using modular and equivariant set-based neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {3}, pages = {35002}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac78c2}, doi = {10.1088/2632-2153/AC78C2}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ThieleCCHS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/TouranakouCDGKO22, author = {Mary Touranakou and Nadezda Chernyavskaya and Javier M. Duarte and Dimitrios Gunopulos and Raghav Kansal and Breno Orzari and Maurizio Pierini and Thiago Tomei and Jean{-}Roch Vlimant}, title = {Particle-based fast jet simulation at the {LHC} with variational autoencoders}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {3}, pages = {35003}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac7c56}, doi = {10.1088/2632-2153/AC7C56}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/TouranakouCDGKO22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/VahdatVP22, author = {Mohammad Tohidi Vahdat and Kumar Agrawal Varoon and Giovanni Pizzi}, title = {Machine-learning accelerated identification of exfoliable two-dimensional materials}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45014}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac9bca}, doi = {10.1088/2632-2153/AC9BCA}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/VahdatVP22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/VaitlNNK22, author = {Lorenz Vaitl and Kim A. Nicoli and Shinichi Nakajima and Pan Kessel}, title = {Gradients should stay on path: better estimators of the reverse- and forward {KL} divergence for normalizing flows}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45006}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac9455}, doi = {10.1088/2632-2153/AC9455}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/VaitlNNK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/VasudevanOK22, author = {Rama K. Vasudevan and Erick Orozco and Sergei V. Kalinin}, title = {Discovering mechanisms for materials microstructure optimization via reinforcement learning of a generative model}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {4}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/aca004}, doi = {10.1088/2632-2153/ACA004}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/VasudevanOK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WangM22, author = {Tianshu Wang and Peter Melchior}, title = {Graph neural network-based resource allocation strategies for multi-object spectroscopy}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15023}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac4d12}, doi = {10.1088/2632-2153/AC4D12}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WangM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WetzelMT22, author = {Sebastian Johann Wetzel and Roger G. Melko and Isaac Tamblyn}, title = {Twin neural network regression is a semi-supervised regression algorithm}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45007}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac9885}, doi = {10.1088/2632-2153/AC9885}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WetzelMT22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WhitelamSBCT22, author = {Stephen Whitelam and Viktor Selin and Ian Benlolo and Corneel Casert and Isaac Tamblyn}, title = {Training neural networks using Metropolis Monte Carlo and an adaptive variant}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45026}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/aca6cd}, doi = {10.1088/2632-2153/ACA6CD}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WhitelamSBCT22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WinklerMS22, author = {Ludwig Winkler and Klaus{-}Robert M{\"{u}}ller and Huziel E. Sauceda}, title = {High-fidelity molecular dynamics trajectory reconstruction with bi-directional neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {2}, pages = {25011}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac6ec6}, doi = {10.1088/2632-2153/AC6EC6}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WinklerMS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WirnsbergerPIRB22, author = {Peter Wirnsberger and George Papamakarios and Borja Ibarz and S{\'{e}}bastien Racani{\`{e}}re and Andrew J. Ballard and Alexander Pritzel and Charles Blundell}, title = {Normalizing flows for atomic solids}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {2}, pages = {25009}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac6b16}, doi = {10.1088/2632-2153/AC6B16}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WirnsbergerPIRB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/YaoWYZ22, author = {Juan Yao and Ce Wang and Zhiyuan Yao and Hui Zhai}, title = {Noise enhanced neural networks for analytic continuation}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {2}, pages = {25010}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac6f44}, doi = {10.1088/2632-2153/AC6F44}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/YaoWYZ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/YuB22, author = {Yi Yu and Karl B{\"{o}}rjesson}, title = {Chemical transformer compression for accelerating both training and inference of molecular modeling}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {4}, pages = {45009}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac99ba}, doi = {10.1088/2632-2153/AC99BA}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/YuB22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Yusufaly22, author = {Tahir I. Yusufaly}, title = {Extending the relative seriality formalism for interpretable deep learning of normal tissue complication probability models}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {2}, pages = {24001}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac6932}, doi = {10.1088/2632-2153/AC6932}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Yusufaly22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ZiatdinovGK22, author = {Maxim A. Ziatdinov and Ayana Ghosh and Sergei V. Kalinin}, title = {Physics makes the difference: Bayesian optimization and active learning via augmented Gaussian process}, journal = {Mach. Learn. Sci. Technol.}, volume = {3}, number = {1}, pages = {15003}, year = {2022}, url = {https://doi.org/10.1088/2632-2153/ac4baa}, doi = {10.1088/2632-2153/AC4BAA}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ZiatdinovGK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AarrestadLGPSNP21, author = {Thea Aarrestad and Vladimir Loncar and Nicol{\`{o}} Ghielmetti and Maurizio Pierini and Sioni Summers and Jennifer Ngadiuba and Christoffer Petersson and Hampus Linander and Yutaro Iiyama and Giuseppe Di Guglielmo and Javier M. Duarte and Philip C. Harris and Dylan S. Rankin and Sergo Jindariani and Kevin Pedro and Nhan Tran and Mia Liu and Edward Kreinar and Zhenbin Wu and Duc Hoang}, title = {Fast convolutional neural networks on FPGAs with hls4ml}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45015}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac0ea1}, doi = {10.1088/2632-2153/AC0EA1}, timestamp = {Mon, 26 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AarrestadLGPSNP21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Ahmadi-AslCPAGT21, author = {Salman Ahmadi{-}Asl and Andrzej Cichocki and Anh Huy Phan and Maame G. Asante{-}Mensah and Mirfarid Musavian Ghazani and Toshihisa Tanaka and Ivan V. Oseledets}, title = {Randomized algorithms for fast computation of low rank tensor ring model}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {11001}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abad87}, doi = {10.1088/2632-2153/ABAD87}, timestamp = {Wed, 01 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Ahmadi-AslCPAGT21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AllenDOC21, author = {Alice E. A. Allen and Genevi{\`{e}}ve Dusson and Christoph Ortner and G{\'{a}}bor Cs{\'{a}}nyi}, title = {Atomic permutationally invariant polynomials for fitting molecular force fields}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25017}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abd51e}, doi = {10.1088/2632-2153/ABD51E}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AllenDOC21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AnagiannisC21, author = {Vassilis Anagiannis and Miranda C. N. Cheng}, title = {Entangled q-convolutional neural nets}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45026}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac2800}, doi = {10.1088/2632-2153/AC2800}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AnagiannisC21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AnandDA21, author = {Abhinav Anand and Matthias Degroote and Al{\'{a}}n Aspuru{-}Guzik}, title = {Natural evolutionary strategies for variational quantum computation}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45012}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf3ac}, doi = {10.1088/2632-2153/ABF3AC}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AnandDA21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AntilKLV21, author = {Harbir Antil and Ratna Khatri and Rainald L{\"{o}}hner and Deepanshu Verma}, title = {Fractional deep neural network via constrained optimization}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {15003}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/aba8e7}, doi = {10.1088/2632-2153/ABA8E7}, timestamp = {Sun, 25 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AntilKLV21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Asante-MensahAC21, author = {Maame G. Asante{-}Mensah and Salman Ahmadi{-}Asl and Andrzej Cichocki}, title = {Matrix and tensor completion using tensor ring decomposition with sparse representation}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35008}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abcb4f}, doi = {10.1088/2632-2153/ABCB4F}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Asante-MensahAC21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AslanLNBLG21, author = {Selin S. Aslan and Zhengchun Liu and Viktor V. Nikitin and Tekin Bicer and Sven Leyffer and Doga G{\"{u}}rsoy}, title = {Joint ptycho-tomography with deep generative priors}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45017}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac1d35}, doi = {10.1088/2632-2153/AC1D35}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AslanLNBLG21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BaiWNJ21, author = {Ti Bai and Biling Wang and Dan Nguyen and Steve B. Jiang}, title = {Deep dose plugin: towards real-time Monte Carlo dose calculation through a deep learning-based denoising algorithm}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25033}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abdbfe}, doi = {10.1088/2632-2153/ABDBFE}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BaiWNJ21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BalabanovG21, author = {Oleksandr Balabanov and Mats Granath}, title = {Unsupervised interpretable learning of topological indices invariant under permutations of atomic bands}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25008}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abcc43}, doi = {10.1088/2632-2153/ABCC43}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BalabanovG21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BeloborodovUFWL21, author = {Dmitrii Beloborodov and Alexander E. Ulanov and Jakob N. Foerster and Shimon Whiteson and A. I. Lvovsky}, title = {Reinforcement learning enhanced quantum-inspired algorithm for combinatorial optimization}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25009}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abc328}, doi = {10.1088/2632-2153/ABC328}, timestamp = {Thu, 14 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BeloborodovUFWL21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BenoitACKRL21, author = {Magali Benoit and Jonathan Amodeo and S{\'{e}}gol{\`{e}}ne Combettes and Ibrahim Khaled and Aur{\'{e}}lien Roux and Julien Lam}, title = {Measuring transferability issues in machine-learning force fields: the example of gold-iron interactions with linearized potentials}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25003}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abc9fd}, doi = {10.1088/2632-2153/ABC9FD}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BenoitACKRL21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BhadraY21, author = {Arnab Bhadra and Kalidas Yeturu}, title = {Site2Vec: a reference frame invariant algorithm for vector embedding of protein-ligand binding sites}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {15005}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abad88}, doi = {10.1088/2632-2153/ABAD88}, timestamp = {Thu, 14 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BhadraY21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BircherSD21, author = {Martin P. Bircher and Andreas Singraber and Christoph Dellago}, title = {Improved description of atomic environments using low-cost polynomial functions with compact support}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35026}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf817}, doi = {10.1088/2632-2153/ABF817}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BircherSD21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BjerrumTE21, author = {Esben Jannik Bjerrum and Amol Thakkar and Ola Engkvist}, title = {Artificial applicability labels for improving policies in retrosynthesis prediction}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {17001}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abcf90}, doi = {10.1088/2632-2153/ABCF90}, timestamp = {Tue, 16 Aug 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BjerrumTE21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BornMCMMFJCLM21, author = {Jannis Born and Matteo Manica and Joris Cadow and Greta Markert and Nil Adell Mill and Modestas Filipavicius and Nikita Janakarajan and Antonio Cardinale and Teodoro Laino and Mar{\'{\i}}a Rodr{\'{\i}}guez Mart{\'{\i}}nez}, title = {Data-driven molecular design for discovery and synthesis of novel ligands: a case study on SARS-CoV-2}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25024}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abe808}, doi = {10.1088/2632-2153/ABE808}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BornMCMMFJCLM21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Bravo-Prieto21, author = {Carlos Bravo{-}Prieto}, title = {Quantum autoencoders with enhanced data encoding}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35028}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac0616}, doi = {10.1088/2632-2153/AC0616}, timestamp = {Sun, 25 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Bravo-Prieto21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CaldeiraN21, author = {Jo{\~{a}}o Caldeira and Brian Nord}, title = {Deeply uncertain: comparing methods of uncertainty quantification in deep learning algorithms}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {15002}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/aba6f3}, doi = {10.1088/2632-2153/ABA6F3}, timestamp = {Thu, 14 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CaldeiraN21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CampbellABORSW21, author = {Stuart I. Campbell and Daniel B. Allan and Andi M. Barbour and Daniel Olds and Maksim S. Rakitin and Reid Smith and Stuart B. Wilkins}, title = {Outlook for artificial intelligence and machine learning at the {NSLS-II}}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {13001}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abbd4e}, doi = {10.1088/2632-2153/ABBD4E}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CampbellABORSW21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CersonskyHEKC21, author = {Rose K. Cersonsky and Benjamin A. Helfrecht and Edgar A. Engel and Sergei Kliavinek and Michele Ceriotti}, title = {Improving sample and feature selection with principal covariates regression}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35038}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abfe7c}, doi = {10.1088/2632-2153/ABFE7C}, timestamp = {Fri, 08 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CersonskyHEKC21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ChenHHK21, author = {Samuel Yen{-}Chi Chen and Chih{-}Min Huang and Chia{-}Wei Hsing and Ying{-}Jer Kao}, title = {An end-to-end trainable hybrid classical-quantum classifier}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45021}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac104d}, doi = {10.1088/2632-2153/AC104D}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ChenHHK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CongXMW21, author = {Wenxiang Cong and Yan Xi and Bruno De Man and Ge Wang}, title = {Monochromatic image reconstruction via machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25032}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abdbff}, doi = {10.1088/2632-2153/ABDBFF}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CongXMW21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CreangeKSSPVSJK21, author = {Nicole Creange and Kyle P. Kelley and C. Smith and D. Sando and Oliver Paull and N. Valanoor and S. Somnath and S. Jesse and Sergei V. Kalinin and Rama K. Vasudevan}, title = {Propagation of priors for more accurate and efficient spectroscopic functional fits and their application to ferroelectric hysteresis}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45002}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abfbba}, doi = {10.1088/2632-2153/ABFBBA}, timestamp = {Mon, 13 Nov 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/CreangeKSSPVSJK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CuiSZ21, author = {Hugo Cui and Luca Saglietti and Lenka Zdeborov{\'{a}}}, title = {Large deviations in the perceptron model and consequences for active learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45001}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abfbbb}, doi = {10.1088/2632-2153/ABFBBB}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CuiSZ21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CuocoPCABCCCEEG21, author = {Elena Cuoco and Jade Powell and Marco Cavagli{\`{a}} and Kendall Ackley and Michal Bejger and Chayan Chatterjee and Michael Coughlin and Scott Coughlin and Paul Easter and Reed Essick and Hunter Gabbard and Timothy Gebhard and Shaon Ghosh and Le{\"{\i}}la Haegel and Alberto Iess and David Keitel and Zsuzsa M{\'{a}}rka and Szabolcs M{\'{a}}rka and Filip Morawski and Tri Nguyen and Rich Ormiston and Michael P{\"{u}}rrer and Massimiliano Razzano and Kai Staats and Gabriele Vajente and Daniel Williams}, title = {Enhancing gravitational-wave science with machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {11002}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abb93a}, doi = {10.1088/2632-2153/ABB93A}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CuocoPCABCCCEEG21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DanaciLKG21, author = {Onur Danaci and Sanjaya Lohani and Brian T. Kirby and Ryan T. Glasser}, title = {Machine learning pipeline for quantum state estimation with incomplete measurements}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35014}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abe5f5}, doi = {10.1088/2632-2153/ABE5F5}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/DanaciLKG21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DarulovaTC21, author = {Jana Darulova and M. Troyer and M. C. Cassidy}, title = {Evaluation of synthetic and experimental training data in supervised machine learning applied to charge-state detection of quantum dots}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45023}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac104c}, doi = {10.1088/2632-2153/AC104C}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/DarulovaTC21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DingMH21, author = {Zhiyue Ding and Lorin S. Matthews and Truell W. Hyde}, title = {A machine learning based Bayesian optimization solution to non-linear responses in dusty plasmas}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35017}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abe7b7}, doi = {10.1088/2632-2153/ABE7B7}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/DingMH21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DoucetAH21, author = {Mathieu Doucet and Richard K. Archibald and William T. Heller}, title = {Machine learning for neutron reflectometry data analysis of two-layer thin films}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35001}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf257}, doi = {10.1088/2632-2153/ABF257}, timestamp = {Mon, 03 Jan 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/DoucetAH21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DoucetSDHATPG21, author = {Mathieu Doucet and Anjana M. Samarakoon and Changwoo Do and William T. Heller and Richard Archibald and D. Alan Tennant and Thomas Proffen and Garrett E. Granroth}, title = {Machine learning for neutron scattering at {ORNL}}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {23001}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abcf88}, doi = {10.1088/2632-2153/ABCF88}, timestamp = {Mon, 03 Jan 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/DoucetSDHATPG21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Ede21, author = {Jeffrey M. Ede}, title = {Deep learning in electron microscopy}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {11004}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abd614}, doi = {10.1088/2632-2153/ABD614}, timestamp = {Sun, 25 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Ede21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Ede21a, author = {Jeffrey M. Ede}, title = {Adaptive partial scanning transmission electron microscopy with reinforcement learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45011}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf5b6}, doi = {10.1088/2632-2153/ABF5B6}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Ede21a.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ErbinF21, author = {Harold Erbin and Riccardo Finotello}, title = {Inception neural network for complete intersection Calabi-Yau 3-folds}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {02}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abda61}, doi = {10.1088/2632-2153/ABDA61}, timestamp = {Thu, 14 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ErbinF21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/EssickGHBK21, author = {Reed Essick and Patrick Godwin and Chad Hanna and Lindy Blackburn and Erik Katsavounidis}, title = {iDQ: Statistical inference of non-gaussian noise with auxiliary degrees of freedom in gravitational-wave detectors}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {15004}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abab5f}, doi = {10.1088/2632-2153/ABAB5F}, timestamp = {Sat, 25 Dec 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/EssickGHBK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FarleyHGTSMH21, author = {Steff Farley and Jo E. A. Hodgkinson and Oliver M. Gordon and Joanna Turner and Andrea Soltoggio and Philip J. Moriarty and Eug{\'{e}}nie Hunsicker}, title = {Improving the segmentation of scanning probe microscope images using convolutional neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {15015}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abc81c}, doi = {10.1088/2632-2153/ABC81C}, timestamp = {Thu, 14 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FarleyHGTSMH21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FengT21, author = {Yu Feng and Yuhai Tu}, title = {Phases of learning dynamics in artificial neural networks in the absence or presence of mislabeled data}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {43001}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf5b9}, doi = {10.1088/2632-2153/ABF5B9}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FengT21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Flam-ShepherdWA21, author = {Daniel Flam{-}Shepherd and Tony C. Wu and Al{\'{a}}n Aspuru{-}Guzik}, title = {{MPGVAE:} improved generation of small organic molecules using message passing neural nets}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45010}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf5b7}, doi = {10.1088/2632-2153/ABF5B7}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Flam-ShepherdWA21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Flam-ShepherdWF21, author = {Daniel Flam{-}Shepherd and Tony C. Wu and Pascal Friederich and Al{\'{a}}n Aspuru{-}Guzik}, title = {Neural message passing on high order paths}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45009}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf5b8}, doi = {10.1088/2632-2153/ABF5B8}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Flam-ShepherdWF21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FriederichKTA21, author = {Pascal Friederich and Mario Krenn and Isaac Tamblyn and Al{\'{a}}n Aspuru{-}Guzik}, title = {Scientific intuition inspired by machine learning-generated hypotheses}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25027}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abda08}, doi = {10.1088/2632-2153/ABDA08}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FriederichKTA21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FriederichLPRA21, author = {Pascal Friederich and Salvador Le{\'{o}}n and Jos{\'{e}} Dar{\'{\i}}o Perea and Lo{\"{\i}}c M. Roch and Al{\'{a}}n Aspuru{-}Guzik}, title = {The influence of sorbitol doping on aggregation and electronic properties of {PEDOT:} {PSS:} a theoretical study}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {01}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ab983b}, doi = {10.1088/2632-2153/AB983B}, timestamp = {Wed, 15 Dec 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/FriederichLPRA21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GagnerJK21, author = {Viktor Ahlberg Gagner and Maja Jensen and Gergely Katona}, title = {Estimating the probability of coincidental similarity between atomic displacement parameters with machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35033}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac022d}, doi = {10.1088/2632-2153/AC022D}, timestamp = {Fri, 08 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GagnerJK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GaoC21, author = {Yansong Gao and Pratik Chaudhari}, title = {A free-energy principle for representation learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45004}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf984}, doi = {10.1088/2632-2153/ABF984}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GaoC21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GiambellucaCOG21, author = {Francisco L. Giambelluca and Marcelo A. Cappelletti and Jorge Rafael Osio and Luis A. Giambelluca}, title = {Novel automatic scorpion-detection and -recognition system based on machine-learning techniques}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25018}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abd51d}, doi = {10.1088/2632-2153/ABD51D}, timestamp = {Thu, 18 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GiambellucaCOG21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GiladSS21, author = {Gal Gilad and Itay Sason and Roded Sharan}, title = {An automated approach for determining the number of components in non-negative matrix factorization with application to mutational signature learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {15013}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abc60a}, doi = {10.1088/2632-2153/ABC60A}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GiladSS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GlasmannKB21, author = {Andreu Glasmann and Alexandros Kyrtsos and Enrico Bellotti}, title = {Machine learning for analyzing and characterizing InAsSb-based nBn photodetectors}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25006}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abcf89}, doi = {10.1088/2632-2153/ABCF89}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GlasmannKB21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GoscinskiFIC21, author = {Alexander Goscinski and Guillaume Fraux and Giulio Imbalzano and Michele Ceriotti}, title = {The role of feature space in atomistic learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25028}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abdaf7}, doi = {10.1088/2632-2153/ABDAF7}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GoscinskiFIC21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GrecoSHGSKS21, author = {Alessandro Greco and Vladimir Starostin and Alexander Hinderhofer and Alexander Gerlach and Maximilian W. A. Skoda and Stefan Kowarik and Frank Schreiber}, title = {Neural network analysis of neutron and x-ray reflectivity data: pathological cases, performance and perspectives}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45003}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf9b1}, doi = {10.1088/2632-2153/ABF9B1}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GrecoSHGSKS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GreenG21, author = {Stephen R. Green and Jonathan Gair}, title = {Complete parameter inference for {GW150914} using deep learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {3}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abfaed}, doi = {10.1088/2632-2153/ABFAED}, timestamp = {Fri, 08 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GreenG21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GuanPPSTVV21, author = {Wen Guan and Gabriel N. Perdue and Arthur Pesah and Maria Schuld and Koji Terashi and Sofia Vallecorsa and Jean{-}Roch Vlimant}, title = {Quantum machine learning in high energy physics}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {11003}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abc17d}, doi = {10.1088/2632-2153/ABC17D}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GuanPPSTVV21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GukovHRS21, author = {Sergei Gukov and James Halverson and Fabian Ruehle and Piotr Sulkowski}, title = {Learning to unknot}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25035}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abe91f}, doi = {10.1088/2632-2153/ABE91F}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GukovHRS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GuoFGSZ21, author = {Shangjie Guo and Amilson R. Fritsch and Craig Greenberg and Ian B. Spielman and Justyna P. Zwolak}, title = {Machine-learning enhanced dark soliton detection in Bose-Einstein condensates}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35020}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abed1e}, doi = {10.1088/2632-2153/ABED1E}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GuoFGSZ21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GuptaCR21, author = {Amit Gupta and Sabyasachi Chakraborty and Raghunathan Ramakrishnan}, title = {Revving up 13C {NMR} shielding predictions across chemical space: benchmarks for atoms-in-molecules kernel machine learning with new data for 134 kilo molecules}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35010}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abe347}, doi = {10.1088/2632-2153/ABE347}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GuptaCR21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GuptaENMMK21, author = {Lipi Gupta and Auralee Edelen and Nicole Neveu and Aashwin Mishra and Christopher Mayes and Youngkee Kim}, title = {Improving surrogate model accuracy for the {LCLS-II} injector frontend using convolutional neural networks and transfer learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45025}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac27ff}, doi = {10.1088/2632-2153/AC27FF}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GuptaENMMK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HalderD21, author = {Arpita Halder and Bimal Datta}, title = {{COVID-19} detection from lung CT-scan images using transfer learning approach}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45013}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf22c}, doi = {10.1088/2632-2153/ABF22C}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HalderD21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HalversonMS21, author = {James Halverson and Anindita Maiti and Keegan Stoner}, title = {Neural networks and quantum field theory}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35002}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abeca3}, doi = {10.1088/2632-2153/ABECA3}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HalversonMS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HardyL21, author = {Lucien Hardy and Adam G. M. Lewis}, title = {Quantum computation with machine-learning-controlled quantum stuff}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {15008}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abb215}, doi = {10.1088/2632-2153/ABB215}, timestamp = {Sat, 25 Dec 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/HardyL21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HaseAHRCLHA21, author = {Florian H{\"{a}}se and Matteo Aldeghi and Riley J. Hickman and Lo{\"{\i}}c M. Roch and Melodie Christensen and Elena Liles and Jason E. Hein and Al{\'{a}}n Aspuru{-}Guzik}, title = {Olympus: a benchmarking framework for noisy optimization and experiment planning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35021}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abedc8}, doi = {10.1088/2632-2153/ABEDC8}, timestamp = {Fri, 08 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HaseAHRCLHA21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HashimotoHY21, author = {Koji Hashimoto and Hong{-}Ye Hu and Yi{-}Zhuang You}, title = {Neural ordinary differential equation and holographic quantum chromodynamics}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35011}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abe527}, doi = {10.1088/2632-2153/ABE527}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HashimotoHY21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HaugMYZPK21, author = {Tobias Haug and Wai{-}Keong Mok and Jia{-}Bin You and Wenzu Zhang and Ching Eng Png and Leong{-}Chuan Kwek}, title = {Classifying global state preparation via deep reinforcement learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {01}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abc81f}, doi = {10.1088/2632-2153/ABC81F}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HaugMYZPK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HimpelM21, author = {Michael Himpel and Andr{\'{e}} Melzer}, title = {Fast 3D particle reconstruction using a convolutional neural network: application to dusty plasmas}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45019}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac1fc8}, doi = {10.1088/2632-2153/AC1FC8}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HimpelM21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HoferKJMS21, author = {Lucas R. Hofer and Milan Krstajic and P{\'{e}}ter Juh{\'{a}}sz and Anna L. Marchant and Robert P. Smith}, title = {Atom cloud detection and segmentation using a deep neural network}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45008}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf5ee}, doi = {10.1088/2632-2153/ABF5EE}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HoferKJMS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HoffmannFE21, author = {Lara Hoffmann and Ines Fortmeier and Clemens Elster}, title = {Uncertainty quantification by ensemble learning for computational optical form measurements}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35030}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac0495}, doi = {10.1088/2632-2153/AC0495}, timestamp = {Fri, 08 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HoffmannFE21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HoxhaK21, author = {Merjem Hoxha and Hiqmet Kamberaj}, title = {Automation of some macromolecular properties using a machine learning approach}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35016}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abe7b6}, doi = {10.1088/2632-2153/ABE7B6}, timestamp = {Mon, 26 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HoxhaK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/IgashovPG21, author = {Ilia Igashov and Nikita Pavlichenko and Sergei Grudinin}, title = {Spherical convolutions on molecular graphs for protein model quality assessment}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45005}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf856}, doi = {10.1088/2632-2153/ABF856}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/IgashovPG21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/IgnatenkoABGTIV21, author = {Alexandr Ignatenko and Dameli Assalauova and Sergey A. Bobkov and Luca Gelisio and Anton B. Teslyuk and Viacheslav A. Ilyin and Ivan A. Vartanyants}, title = {Classification of diffraction patterns in single particle imaging experiments performed at x-ray free-electron lasers using a convolutional neural network}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25014}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abd916}, doi = {10.1088/2632-2153/ABD916}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/IgnatenkoABGTIV21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/IovanacS21, author = {Nicolae C. Iovanac and Brett M. Savoie}, title = {Erratum: Improving the generative performance of chemical autoencoders through transfer learning {(2020} Mach. Learn.: Sci. Technol. 1 045010)}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {39601}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abe194}, doi = {10.1088/2632-2153/ABE194}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/IovanacS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/IvanovKKRSTZ21, author = {Dmitri Ivanov and Oleg E. Kalashev and Mikhail Yu Kuznetsov and Grigory I. Rubtsov and Takashi Sako and Yoshiki Tsunesada and Yana V. Zhezher}, title = {Using deep learning to enhance event geometry reconstruction for the telescope array surface detector}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {15006}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abae74}, doi = {10.1088/2632-2153/ABAE74}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/IvanovKKRSTZ21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/JetlyC21, author = {Vishrut Jetly and Bhaskar Chaudhury}, title = {Extracting electron scattering cross sections from swarm data using deep neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35025}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf15a}, doi = {10.1088/2632-2153/ABF15A}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/JetlyC21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KaiserKB21, author = {Eurika Kaiser and J. Nathan Kutz and Steven L. Brunton}, title = {Data-driven discovery of Koopman eigenfunctions for control}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35023}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf0f5}, doi = {10.1088/2632-2153/ABF0F5}, timestamp = {Mon, 26 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KaiserKB21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KamingDKLSDW21, author = {Niklas K{\"{a}}ming and Anna Dawid and Korbinian Kottmann and Maciej Lewenstein and Klaus Sengstock and Alexandre Dauphin and Christof Weitenberg}, title = {Unsupervised machine learning of topological phase transitions from experimental data}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35037}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abffe7}, doi = {10.1088/2632-2153/ABFFE7}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KamingDKLSDW21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KayasthaR21, author = {Prakriti Kayastha and Raghunathan Ramakrishnan}, title = {Machine learning modeling of materials with a group-subgroup structure}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35035}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abffe9}, doi = {10.1088/2632-2153/ABFFE9}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KayasthaR21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KehoeWXP21, author = {Aidan Kehoe and Peter Wittek and Yanbo Xue and Alejandro Pozas{-}Kerstjens}, title = {Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines \({}^{\mbox{{\textdagger}}}\)}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45006}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf834}, doi = {10.1088/2632-2153/ABF834}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KehoeWXP21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KlusGNN21, author = {Stefan Klus and Patrick Gel{\ss} and Feliks N{\"{u}}ske and Frank No{\'{e}}}, title = {Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45016}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac14ad}, doi = {10.1088/2632-2153/AC14AD}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KlusGNN21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KnijffZ21, author = {Lisanne Knijff and Chao Zhang}, title = {Machine learning inference of molecular dipole moment in liquid water}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {03}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac0123}, doi = {10.1088/2632-2153/AC0123}, timestamp = {Tue, 16 Aug 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KnijffZ21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KolesnichenkoZZ21, author = {Pavel V. Kolesnichenko and Qianhui Zhang and Changxi Zheng and Michael S. Fuhrer and Jeffrey A. Davis}, title = {Multidimensional analysis of excitonic spectra of monolayers of tungsten disulphide: toward computer-aided identification of structural and environmental perturbations of 2D materials}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25021}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abd87c}, doi = {10.1088/2632-2153/ABD87C}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KolesnichenkoZZ21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KrippendorfS21, author = {Sven Krippendorf and Marc Syvaeri}, title = {Detecting symmetries with neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {15010}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abbd2d}, doi = {10.1088/2632-2153/ABBD2D}, timestamp = {Wed, 15 Dec 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/KrippendorfS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KrupaLFDDHHHHKL21, author = {Jeffrey D. Krupa and Kelvin Lin and Maria Acosta Flechas and Jack Dinsmore and Javier M. Duarte and Philip C. Harris and Scott Hauck and Burt Holzman and Shih{-}Chieh Hsu and Thomas Klijnsma and Mia Liu and Kevin Pedro and Dylan S. Rankin and Natchanon Suaysom and Matt Trahms and Nhan Tran}, title = {{GPU} coprocessors as a service for deep learning inference in high energy physics}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35005}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abec21}, doi = {10.1088/2632-2153/ABEC21}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KrupaLFDDHHHHKL21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LagerwerfHBB21, author = {Marinus J. Lagerwerf and Allard A. Hendriksen and Jan{-}Willem Buurlage and Kees Joost Batenburg}, title = {Noise2Filter: fast, self-supervised learning and real-time reconstruction for 3D computed tomography}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {15012}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abbd4d}, doi = {10.1088/2632-2153/ABBD4D}, timestamp = {Thu, 14 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LagerwerfHBB21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LiangNJ21, author = {Xiao Liang and Dan Nguyen and Steve B. Jiang}, title = {Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with cone-beam computed tomography {(CBCT)} to computed tomography {(CT)} image conversion}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {15007}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abb214}, doi = {10.1088/2632-2153/ABB214}, timestamp = {Thu, 14 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LiangNJ21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LiuB21, author = {Tommy Liu and Amanda S. Barnard}, title = {Fast derivation of Shapley based feature importances through feature extraction methods for nanoinformatics}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35034}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac0167}, doi = {10.1088/2632-2153/AC0167}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LiuB21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LiuMZW21, author = {Jin{-}Guo Liu and Liang Mao and Pan Zhang and Lei Wang}, title = {Solving quantum statistical mechanics with variational autoregressive networks and quantum circuits}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25011}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/aba19d}, doi = {10.1088/2632-2153/ABA19D}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LiuMZW21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LiuVKKSAKZ21, author = {Yongtao Liu and Rama K. Vasudevan and Kyle K. Kelley and Dohyung Kim and Yogesh Sharma and Mahshid Ahmadi and Sergei V. Kalinin and Maxim A. Ziatdinov}, title = {Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy \({}^{\mbox{*}}\)}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45028}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac28de}, doi = {10.1088/2632-2153/AC28DE}, timestamp = {Wed, 07 Dec 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/LiuVKKSAKZ21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LoaizaR21, author = {Juan Manuel Carmona Loaiza and Zamaan Raza}, title = {Towards reflectivity profile inversion through artificial neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25034}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abe564}, doi = {10.1088/2632-2153/ABE564}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LoaizaR21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MadireddyPLBYLH21, author = {Sandeep Madireddy and Ji Hwan Park and Sunwoo Lee and Prasanna Balaprakash and Shinjae Yoo and Wei{-}keng Liao and Cory D. Hauck and M. Paul Laiu and Richard Archibald}, title = {In situ compression artifact removal in scientific data using deep transfer learning and experience replay}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25010}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abc326}, doi = {10.1088/2632-2153/ABC326}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MadireddyPLBYLH21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MaffettoneLCCCO21, author = {Phillip M. Maffettone and Joshua K. Lynch and Thomas A. Caswell and Clara E. Cook and Stuart I. Campbell and Daniel Olds}, title = {Gaming the beamlines - employing reinforcement learning to maximize scientific outcomes at large-scale user facilities}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25025}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abc9fc}, doi = {10.1088/2632-2153/ABC9FC}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MaffettoneLCCCO21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Marino21, author = {Raffaele Marino}, title = {Learning from survey propagation: a neural network for {MAX-E-3-SAT}}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35032}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac0496}, doi = {10.1088/2632-2153/AC0496}, timestamp = {Mon, 26 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Marino21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MellandAU21, author = {Pake Melland and Jason Albright and Nathan M. Urban}, title = {Differentiable programming for online training of a neural artificial viscosity function within a staggered grid Lagrangian hydrodynamics scheme}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25015}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abd644}, doi = {10.1088/2632-2153/ABD644}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MellandAU21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MercadoRLKECB21, author = {Roc{\'{\i}}o Mercado and Tobias Rastemo and Edvard Lindel{\"{o}}f and G{\"{u}}nter Klambauer and Ola Engkvist and Hongming Chen and Esben Jannik Bjerrum}, title = {Graph networks for molecular design}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25023}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abcf91}, doi = {10.1088/2632-2153/ABCF91}, timestamp = {Fri, 16 Feb 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/MercadoRLKECB21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MetzPWB21, author = {Friederike Metz and Juan Polo and Natalya Weber and Thomas Busch}, title = {Deep-learning-based quantum vortex detection in atomic Bose-Einstein condensates}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35019}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abea6a}, doi = {10.1088/2632-2153/ABEA6A}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MetzPWB21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MignaccoUZ21, author = {Francesca Mignacco and Pierfrancesco Urbani and Lenka Zdeborov{\'{a}}}, title = {Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35029}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac0615}, doi = {10.1088/2632-2153/AC0615}, timestamp = {Fri, 12 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MignaccoUZ21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MikschMKUA21, author = {April M. Miksch and Tobias Morawietz and Johannes K{\"{a}}stner and Alexander Urban and Nongnuch Artrith}, title = {Strategies for the construction of machine-learning potentials for accurate and efficient atomic-scale simulations}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {31001}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abfd96}, doi = {10.1088/2632-2153/ABFD96}, timestamp = {Fri, 08 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MikschMKUA21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MikuniC21, author = {Vinicius Mikuni and Florencia Canelli}, title = {Point cloud transformers applied to collider physics}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35027}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac07f6}, doi = {10.1088/2632-2153/AC07F6}, timestamp = {Fri, 08 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MikuniC21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MironovDMC21, author = {Daniil Mironov and James H. Durant and Rebecca Mackenzie and Joshaniel F. K. Cooper}, title = {Towards automated analysis for neutron reflectivity}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35006}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abe7b5}, doi = {10.1088/2632-2153/ABE7B5}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MironovDMC21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MogushiQCKH21, author = {Kentaro Mogushi and Ryan Quitzow{-}James and Marco Cavagli{\`{a}} and Sumeet Kulkarni and Fergus Hayes}, title = {{NNETFIX:} an artificial neural network-based denoising engine for gravitational-wave signals}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35018}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abea69}, doi = {10.1088/2632-2153/ABEA69}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MogushiQCKH21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MorawskiBCP21, author = {Filip Morawski and Michal Bejger and Elena Cuoco and Luigia Petre}, title = {Anomaly detection in gravitational waves data using convolutional autoencoders}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45014}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf3d0}, doi = {10.1088/2632-2153/ABF3D0}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MorawskiBCP21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/NataliHMV21, author = {Laura Natali and Saga Helgadottir and Onofrio M. Marag{\`{o}} and Giovanni Volpe}, title = {Improving epidemic testing and containment strategies using machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35007}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf0f7}, doi = {10.1088/2632-2153/ABF0F7}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/NataliHMV21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/NgadiubaLPSGDHR21, author = {Jennifer Ngadiuba and Vladimir Loncar and Maurizio Pierini and Sioni Summers and Giuseppe Di Guglielmo and Javier M. Duarte and Philip C. Harris and Dylan S. Rankin and Sergo Jindariani and Mia Liu and Kevin Pedro and Nhan Tran and Edward Kreinar and Sheila Sagear and Zhenbin Wu and Duc Hoang}, title = {Compressing deep neural networks on FPGAs to binary and ternary precision with hls4ml}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {15001}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/aba042}, doi = {10.1088/2632-2153/ABA042}, timestamp = {Mon, 26 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/NgadiubaLPSGDHR21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/NovikovGPS21, author = {Ivan S. Novikov and Konstantin Gubaev and Evgeny V. Podryabinkin and Alexander V. Shapeev}, title = {The {MLIP} package: moment tensor potentials with {MPI} and active learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25002}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abc9fe}, doi = {10.1088/2632-2153/ABC9FE}, timestamp = {Thu, 14 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/NovikovGPS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ORiordanDBK21, author = {Lee J. O'Riordan and Myles Doyle and Fabio Baruffa and Venkatesh Kannan}, title = {A hybrid classical-quantum workflow for natural language processing}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {15011}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abbd2e}, doi = {10.1088/2632-2153/ABBD2E}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ORiordanDBK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/OgokeMHF21, author = {Francis Ogoke and Kazem Meidani and Amirreza Hashemi and Amir Barati Farimani}, title = {Graph convolutional networks applied to unstructured flow field data}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45020}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac1fc9}, doi = {10.1088/2632-2153/AC1FC9}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/OgokeMHF21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/PaccolatSW21, author = {Jonas Paccolat and Stefano Spigler and Matthieu Wyart}, title = {How isotropic kernels perform on simple invariants}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25020}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abd485}, doi = {10.1088/2632-2153/ABD485}, timestamp = {Wed, 07 Dec 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/PaccolatSW21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/PaleicoB21, author = {Mart{\'{\i}}n Leandro Paleico and J{\"{o}}rg Behler}, title = {A bin and hash method for analyzing reference data and descriptors in machine learning potentials}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {37001}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abe663}, doi = {10.1088/2632-2153/ABE663}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/PaleicoB21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ParkAMBSE21, author = {Heesoo Park and Adnan Ali and Raghvendra Mall and Halima Bensmail and Stefano Sanvito and Fedwa El{-}Mellouhi}, title = {Data-driven enhancement of cubic phase stability in mixed-cation perovskites}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25030}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abdaf9}, doi = {10.1088/2632-2153/ABDAF9}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ParkAMBSE21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ParkP21, author = {Gilchan Park and Line Pouchard}, title = {Advances in scientific literature mining for interpreting materials characterization}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45007}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf751}, doi = {10.1088/2632-2153/ABF751}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ParkP21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ParsaeifardDCFK21, author = {Behnam Parsaeifard and Deb Sankar De and Anders S. Christensen and Felix A. Faber and Emir Kocer and Sandip De and J{\"{o}}rg Behler and O. Anatole von Lilienfeld and Stefan Goedecker}, title = {An assessment of the structural resolution of various fingerprints commonly used in machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {15018}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abb212}, doi = {10.1088/2632-2153/ABB212}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ParsaeifardDCFK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/PawarM21, author = {Suraj Pawar and Romit Maulik}, title = {Distributed deep reinforcement learning for simulation control}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25029}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abdaf8}, doi = {10.1088/2632-2153/ABDAF8}, timestamp = {Mon, 03 Jan 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/PawarM21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/PernotHS21, author = {Pascal Pernot and Bing Huang and Andreas Savin}, title = {Corrigendum: Impact of non-normal error distributions on the benchmarking and ranking of quantum machine learning models {(2020} Mach. Learn.: Sci. Technol. 1 035011)}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {19501}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abc350}, doi = {10.1088/2632-2153/ABC350}, timestamp = {Thu, 14 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/PernotHS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/PosenitskiySL21, author = {Evgeny Posenitskiy and Fernand Spiegelman and Didier Lemoine}, title = {On application of deep learning to simplified quantum-classical dynamics in electronically excited states}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35039}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abfe3f}, doi = {10.1088/2632-2153/ABFE3F}, timestamp = {Fri, 08 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/PosenitskiySL21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Pozas-Kerstjens21, author = {Alejandro Pozas{-}Kerstjens and Gorka Mu{\~{n}}oz{-}Gil and Eloy Pi{\~{n}}ol and Miguel {\'{A}}ngel Garc{\'{\i}}a{-}March and Antonio Ac{\'{\i}}n and Maciej Lewenstein and Przemyslaw R. Grzybowski}, title = {Efficient training of energy-based models via spin-glass control}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25026}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abe807}, doi = {10.1088/2632-2153/ABE807}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Pozas-Kerstjens21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/PraegerXGEM21, author = {Matthew Praeger and Yunhui Xie and James A. Grant{-}Jacob and Robert W. Eason and Ben Mills}, title = {Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35024}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abf0f6}, doi = {10.1088/2632-2153/ABF0F6}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/PraegerXGEM21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/RakotondrajoaR21, author = {A. Rakotondrajoa and Martin Radtke}, title = {Machine learning based quantification of synchrotron radiation-induced x-ray fluorescence measurements - a case study}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25004}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abc9fb}, doi = {10.1088/2632-2153/ABC9FB}, timestamp = {Thu, 30 Jun 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/RakotondrajoaR21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ReddyB21, author = {Pranath Reddy and Aranya Bhuti Bhattacherjee}, title = {A hybrid quantum regression model for the prediction of molecular atomization energies}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25019}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abd486}, doi = {10.1088/2632-2153/ABD486}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ReddyB21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ReyesS21, author = {Justin A. Reyes and E. Miles Stoudenmire}, title = {Multi-scale tensor network architecture for machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35036}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abffe8}, doi = {10.1088/2632-2153/ABFFE8}, timestamp = {Wed, 04 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ReyesS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Sadeghnejad-Barkousaraie21, author = {Azar Sadeghnejad{-}Barkousaraie and Gyanendra Bohara and Steve B. Jiang and Dan Nguyen}, title = {A reinforcement learning application of a guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35013}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abe528}, doi = {10.1088/2632-2153/ABE528}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Sadeghnejad-Barkousaraie21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SchaferSKBK21, author = {Frank Sch{\"{a}}fer and Pavel Sekatski and Martin Koppenh{\"{o}}fer and Christoph Bruder and Michal Kloc}, title = {Control of stochastic quantum dynamics by differentiable programming}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35004}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abec22}, doi = {10.1088/2632-2153/ABEC22}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SchaferSKBK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SchwallerVLR21, author = {Philippe Schwaller and Alain C. Vaucher and Teodoro Laino and Jean{-}Louis Reymond}, title = {Prediction of chemical reaction yields using deep learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {15016}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abc81d}, doi = {10.1088/2632-2153/ABC81D}, timestamp = {Wed, 16 Mar 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/SchwallerVLR21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ScottM21, author = {Cory B. Scott and Eric Mjolsness}, title = {Graph prolongation convolutional networks: explicitly multiscale machine learning on graphs with applications to modeling of cytoskeleton}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {15009}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abb6d2}, doi = {10.1088/2632-2153/ABB6D2}, timestamp = {Wed, 15 Dec 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/ScottM21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SergazinovK21, author = {Renat Sergazinov and Miroslav Kram{\'{a}}r}, title = {Machine learning approach to force reconstruction in photoelastic materials}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45030}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac29d5}, doi = {10.1088/2632-2153/AC29D5}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SergazinovK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ShenKEA21, author = {Cynthia Shen and Mario Krenn and Sagi Eppel and Al{\'{a}}n Aspuru{-}Guzik}, title = {Deep molecular dreaming: inverse machine learning for de-novo molecular design and interpretability with surjective representations}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {03}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac09d6}, doi = {10.1088/2632-2153/AC09D6}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ShenKEA21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ShlomiBV21, author = {Jonathan Shlomi and Peter W. Battaglia and Jean{-}Roch Vlimant}, title = {Graph neural networks in particle physics}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {21001}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abbf9a}, doi = {10.1088/2632-2153/ABBF9A}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ShlomiBV21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ShuaibiSCU21, author = {Muhammed Shuaibi and Saurabh Sivakumar and Rui Qi Chen and Zachary W. Ulissi}, title = {Enabling robust offline active learning for machine learning potentials using simple physics-based priors}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25007}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abcc44}, doi = {10.1088/2632-2153/ABCC44}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ShuaibiSCU21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SpragueCWT21, author = {Kyle Sprague and Juan Carrasquilla and Stephen Whitelam and Isaac Tamblyn}, title = {Watch and learn - a generalized approach for transferrable learning in deep neural networks via physical principles}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {02}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abc81b}, doi = {10.1088/2632-2153/ABC81B}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SpragueCWT21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/StukeRT21, author = {Annika Stuke and Patrick Rinke and Milica Todorovic}, title = {Efficient hyperparameter tuning for kernel ridge regression with Bayesian optimization}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35022}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abee59}, doi = {10.1088/2632-2153/ABEE59}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/StukeRT21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SwekeKNE21, author = {Ryan Sweke and Markus S. Kesselring and Evert P. L. van Nieuwenburg and Jens Eisert}, title = {Reinforcement learning decoders for fault-tolerant quantum computation}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25005}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abc609}, doi = {10.1088/2632-2153/ABC609}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SwekeKNE21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ThavarajahZMC21, author = {Rohan Thavarajah and Xiang Zhai and Zheren Ma and David Castineira}, title = {Fast modeling and understanding fluid dynamics systems with encoder-decoder networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25022}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abd1cf}, doi = {10.1088/2632-2153/ABD1CF}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ThavarajahZMC21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/TianJT21, author = {Hao Tian and Xi Jiang and Peng Tao}, title = {PASSer: prediction of allosteric sites server}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35015}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abe6d6}, doi = {10.1088/2632-2153/ABE6D6}, timestamp = {Tue, 14 Nov 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/TianJT21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Vanchurin21, author = {Vitaly Vanchurin}, title = {Toward a theory of machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35012}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abe6d7}, doi = {10.1088/2632-2153/ABE6D7}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Vanchurin21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Venkatakrishnan21, author = {Singanallur V. Venkatakrishnan and Amirkoushyar Ziabari and Jacob D. Hinkle and Andrew W. Needham and Jeffrey M. Warren and Hassina Z. Bilheux}, title = {Convolutional neural network based non-iterative reconstruction for accelerating neutron tomography}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25031}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abde8e}, doi = {10.1088/2632-2153/ABDE8E}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Venkatakrishnan21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/VisschersBB21, author = {Jim C. Visschers and Dmitry Budker and Lykourgos Bougas}, title = {Rapid parameter estimation of discrete decaying signals using autoencoder networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45024}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac1eea}, doi = {10.1088/2632-2153/AC1EEA}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/VisschersBB21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WalkerT21, author = {Nicholas Walker and Ka{-}Ming Tam}, title = {InfoCGAN classification of 2D square Ising configurations}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25001}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abcc45}, doi = {10.1088/2632-2153/ABCC45}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WalkerT21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WangXSSJZ21, author = {Lingxiao Wang and Tian Xu and Till Hannes Stoecker and Horst St{\"{o}}cker and Yin Jiang and Kai Zhou}, title = {Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level {COVID-19} risk}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35031}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac0314}, doi = {10.1088/2632-2153/AC0314}, timestamp = {Fri, 12 Aug 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WangXSSJZ21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WangYLLCTS21, author = {Chunpeng Wang and Feng Yu and Yiyang Liu and Xiaoyun Li and Jige Chen and Jeyan Thiyagalingam and Alessandro Sepe}, title = {Deploying the Big Data Science Center at the Shanghai Synchrotron Radiation Facility: the first superfacility platform in China}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35003}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abe193}, doi = {10.1088/2632-2153/ABE193}, timestamp = {Tue, 22 Mar 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/WangYLLCTS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WangZJG21, author = {Haozhu Wang and Zeyu Zheng and Chengang Ji and L. Jay Guo}, title = {Automated multi-layer optical design via deep reinforcement learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25013}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abc327}, doi = {10.1088/2632-2153/ABC327}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WangZJG21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WozniakowskiTGB21, author = {Alex Wozniakowski and Jayne Thompson and Mile Gu and Felix C. Binder}, title = {A new formulation of gradient boosting}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45022}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac1ee9}, doi = {10.1088/2632-2153/AC1EE9}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WozniakowskiTGB21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WuNXBSSPJ21, author = {Chao Wu and Dan Nguyen and Yixun Xing and Ana M. Barragan{-}Montero and Jan Schuemann and Haijiao Shang and Yuehu Pu and Steve B. Jiang}, title = {Improving proton dose calculation accuracy by using deep learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {15017}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abb6d5}, doi = {10.1088/2632-2153/ABB6D5}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WuNXBSSPJ21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/YanxonZTMZ21, author = {Howard Yanxon and David Zagaceta and Binh Tang and David S. Matteson and Qiang Zhu}, title = {PyXtal{\_}FF: a python library for automated force field generation}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {27001}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abc940}, doi = {10.1088/2632-2153/ABC940}, timestamp = {Sun, 22 Oct 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/YanxonZTMZ21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/YoonCRWBGFU21, author = {Junwoong Yoon and Zhonglin Cao and Rajesh K. Raju and Yuyang Wang and Robert Burnley and Andrew J. Gellman and Amir Barati Farimani and Zachary W. Ulissi}, title = {Deep reinforcement learning for predicting kinetic pathways to surface reconstruction in a ternary alloy}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45018}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac191c}, doi = {10.1088/2632-2153/AC191C}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/YoonCRWBGFU21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ZauchnerFCHL21, author = {Mario G. Zauchner and Stefano Dal Forno and G{\'{a}}bor Cs{\'{a}}nyi and Andrew P. Horsfield and Johannes Lischner}, title = {Predicting polarizabilities of silicon clusters using local chemical environments}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45029}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac2cfe}, doi = {10.1088/2632-2153/AC2CFE}, timestamp = {Mon, 26 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ZauchnerFCHL21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ZaverkinK21, author = {Viktor Zaverkin and Johannes K{\"{a}}stner}, title = {Exploration of transferable and uniformly accurate neural network interatomic potentials using optimal experimental design}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {3}, pages = {35009}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abe294}, doi = {10.1088/2632-2153/ABE294}, timestamp = {Thu, 29 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ZaverkinK21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ZhangHZY21, author = {Shi{-}Xin Zhang and Chang{-}Yu Hsieh and Shengyu Zhang and Hong Yao}, title = {Neural predictor based quantum architecture search}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {4}, pages = {45027}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/ac28dd}, doi = {10.1088/2632-2153/AC28DD}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ZhangHZY21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ZhangSH21, author = {Zhe Zhang and Minghao Song and Xiaobiao Huang}, title = {Online accelerator optimization with a machine learning-based stochastic algorithm}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {1}, pages = {15014}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abc81e}, doi = {10.1088/2632-2153/ABC81E}, timestamp = {Wed, 15 Dec 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/ZhangSH21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ZhaoCSV21, author = {Tianchen Zhao and Giuseppe Carleo and James Stokes and Shravan K. Veerapaneni}, title = {Natural evolution strategies and variational Monte Carlo}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {02}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abcb50}, doi = {10.1088/2632-2153/ABCB50}, timestamp = {Mon, 16 May 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ZhaoCSV21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ZhouZJLN21, author = {Sharon Zhou and Jiequan Zhang and Hang Jiang and Torbj{\"{o}}rn Lundh and Andrew Y. Ng}, title = {Data augmentation with Mobius transformations}, journal = {Mach. Learn. Sci. Technol.}, volume = {2}, number = {2}, pages = {25016}, year = {2021}, url = {https://doi.org/10.1088/2632-2153/abd615}, doi = {10.1088/2632-2153/ABD615}, timestamp = {Mon, 20 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ZhouZJLN21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AbdallahFLSSATL20, author = {Hassan Abdallah and Brent Formosa and Asiri Liyanaarachchi and Maranda Saigh and Samantha Silvers and Suzan Arslanturk and Douglas J. Taatjes and Lars Larsson and Bhanu P. Jena and Domenico L. Gatti}, title = {Res-CR-Net, a residual network with a novel architecture optimized for the semantic segmentation of microscopy images}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45004}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/aba8e8}, doi = {10.1088/2632-2153/ABA8E8}, timestamp = {Tue, 29 Nov 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/AbdallahFLSSATL20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Albarran-Arriagada20, author = {Francisco Albarr{\'{a}}n{-}Arriagada and Juan Carlos Retamal and Enrique Solano and Lucas Lamata}, title = {Reinforcement learning for semi-autonomous approximate quantum eigensolver}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {1}, pages = {15002}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab43b4}, doi = {10.1088/2632-2153/AB43B4}, timestamp = {Mon, 26 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Albarran-Arriagada20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AlcazarLP20, author = {Javier Alcazar and Vicente Leyton{-}Ortega and Alejandro Perdomo{-}Ortiz}, title = {Classical versus quantum models in machine learning: insights from a finance application}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {3}, pages = {35003}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab9009}, doi = {10.1088/2632-2153/AB9009}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AlcazarLP20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AlvesF20, author = {Alexandre Alves and Felipe F. Freitas}, title = {Towards recognizing the light facet of the Higgs boson}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45025}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/aba8e6}, doi = {10.1088/2632-2153/ABA8E6}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AlvesF20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BarkerSLSGHFB20, author = {Adam J. Barker and H. Style and K. Luksch and S. Sunami and D. Garrick and F. Hill and Christopher J. Foot and Elliot Bentine}, title = {Applying machine learning optimization methods to the production of a quantum gas}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {1}, pages = {15007}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab6432}, doi = {10.1088/2632-2153/AB6432}, timestamp = {Wed, 05 Apr 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BarkerSLSGHFB20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BradleyST20, author = {Tai{-}Danae Bradley and E. Miles Stoudenmire and John Terilla}, title = {Modeling sequences with quantum states: a look under the hood}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {3}, pages = {35008}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab8731}, doi = {10.1088/2632-2153/AB8731}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BradleyST20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/BreretonMSRASW20, author = {Andrew E. Brereton and Stephen MacKinnon and Zhaleh Safikhani and Shawn Reeves and Sana Alwash and Vijay Shahani and Andreas Windemuth}, title = {Predicting drug properties with parameter-free machine learning: pareto-optimal embedded modeling {(POEM)}}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {25008}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab891b}, doi = {10.1088/2632-2153/AB891B}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/BreretonMSRASW20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CavagliaGHSSZ20, author = {Marco Cavagli{\`{a}} and Sergio Gaudio and Travis Hansen and Kai Staats and Marek Szczepanczyk and Michele Zanolin}, title = {Improving the background of gravitational-wave searches for core collapse supernovae: a machine learning approach}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {1}, pages = {15005}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab527d}, doi = {10.1088/2632-2153/AB527D}, timestamp = {Wed, 15 Feb 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/CavagliaGHSSZ20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/CaylakLB20, author = {Onur {\c{C}}aylak and O. Anatole von Lilienfeld and Bj{\"{o}}rn Baumeier}, title = {Wasserstein metric for improved quantum machine learning with adjacency matrix representations}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {3}, pages = {03}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/aba048}, doi = {10.1088/2632-2153/ABA048}, timestamp = {Thu, 23 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/CaylakLB20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ChaKL20, author = {Jaehoon Cha and Kyeong Soo Kim and Sanghyuk Lee}, title = {Hierarchical Auxiliary Learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45002}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/aba7b3}, doi = {10.1088/2632-2153/ABA7B3}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ChaKL20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ChitturiVLW20, author = {Sathya R. Chitturi and Philipp C. Verpoort and Alpha A. Lee and David J. Wales}, title = {Perspective: new insights from loss function landscapes of neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {23002}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab7aef}, doi = {10.1088/2632-2153/AB7AEF}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ChitturiVLW20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ChristensenL20, author = {Anders S. Christensen and O. Anatole von Lilienfeld}, title = {On the role of gradients for machine learning of molecular energies and forces}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45018}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/abba6f}, doi = {10.1088/2632-2153/ABBA6F}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ChristensenL20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DeCostHTKCG20, author = {Brian DeCost and Jason Hattrick{-}Simpers and Zachary Trautt and Aaron Gilad Kusne and Eva Campo and Martin Green}, title = {Scientific {AI} in materials science: a path to a sustainable and scalable paradigm}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {3}, pages = {33001}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab9a20}, doi = {10.1088/2632-2153/AB9A20}, timestamp = {Thu, 14 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/DeCostHTKCG20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DeSantisWBA20, author = {Derek DeSantis and Phillip J. Wolfram and Katrina Bennett and Boian S. Alexandrov}, title = {Coarse-grain cluster analysis of tensors with application to climate biome identification}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45020}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/abb676}, doi = {10.1088/2632-2153/ABB676}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/DeSantisWBA20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/DreraKS20, author = {G. Drera and Chahan M. Kropf and L. Sangaletti}, title = {Deep neural network for x-ray photoelectron spectroscopy data analysis}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {1}, pages = {15008}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab5da6}, doi = {10.1088/2632-2153/AB5DA6}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/DreraKS20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Ede20, author = {Jeffrey M. Ede}, title = {Warwick electron microscopy datasets}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45003}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab9c3c}, doi = {10.1088/2632-2153/AB9C3C}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Ede20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/EdeB20, author = {Jeffrey M. Ede and Richard Beanland}, title = {Adaptive learning rate clipping stabilizes learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {1}, pages = {15011}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab81e2}, doi = {10.1088/2632-2153/AB81E2}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/EdeB20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ErichsonMBK20, author = {N. Benjamin Erichson and Krithika Manohar and Steven L. Brunton and J. Nathan Kutz}, title = {Randomized {CP} tensor decomposition}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {25012}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab8240}, doi = {10.1088/2632-2153/AB8240}, timestamp = {Thu, 23 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ErichsonMBK20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FanelliP20, author = {Cristiano Fanelli and Jary Pomponi}, title = {DeepRICH: learning deeply Cherenkov detectors}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {1}, pages = {15010}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab845a}, doi = {10.1088/2632-2153/AB845A}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FanelliP20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FangBK20, author = {Chao Fang and Amin Barzeger and Helmut G. Katzgraber}, title = {Machine learning in physics: the pitfalls of poisoned training sets}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45001}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/aba821}, doi = {10.1088/2632-2153/ABA821}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FangBK20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/FrankelTJ20, author = {Ari Frankel and Kousuke Tachida and Reese E. Jones}, title = {Prediction of the evolution of the stress field of polycrystals undergoing elastic-plastic deformation with a hybrid neural network model}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {3}, pages = {35005}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab9299}, doi = {10.1088/2632-2153/AB9299}, timestamp = {Fri, 28 Jul 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/FrankelTJ20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GaoIK20, author = {Christina Gao and Joshua Isaacson and Claudius Krause}, title = {i- flow: High-dimensional integration and sampling with normalizing flows}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45023}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/abab62}, doi = {10.1088/2632-2153/ABAB62}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GaoIK20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GopakumarS20, author = {Vignesh Gopakumar and D. Samaddar}, title = {Image mapping the temporal evolution of edge characteristics in tokamaks using neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {1}, pages = {15006}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab5639}, doi = {10.1088/2632-2153/AB5639}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GopakumarS20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GordonJM20, author = {Oliver M. Gordon and Filipe L. Q. Junqueira and Philip J. Moriarty}, title = {Embedding human heuristics in machine-learning-enabled probe microscopy}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {1}, pages = {15001}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab42ec}, doi = {10.1088/2632-2153/AB42EC}, timestamp = {Thu, 14 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GordonJM20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GordonM20, author = {Oliver M. Gordon and Philip J. Moriarty}, title = {Machine learning at the (sub)atomic scale: next generation scanning probe microscopy}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {23001}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab7d2f}, doi = {10.1088/2632-2153/AB7D2F}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GordonM20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GriffithsKSTV20, author = {Jack Griffiths and Steven Kleinegesse and D. Saunders and R. Taylor and Antonin Vacheret}, title = {Pulse shape discrimination and exploration of scintillation signals using convolutional neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45022}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/abb781}, doi = {10.1088/2632-2153/ABB781}, timestamp = {Sat, 26 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GriffithsKSTV20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/GuptaS20, author = {Gaurav Gupta and S. Saini}, title = {{DAVI:} Deep learning-based tool for alignment and single nucleotide variant identification}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {25013}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab7e19}, doi = {10.1088/2632-2153/AB7E19}, timestamp = {Sat, 26 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/GuptaS20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HeinenSRL20, author = {Stefan N. Heinen and Max Schwilk and Guido Falk von Rudorff and O. Anatole von Lilienfeld}, title = {Machine learning the computational cost of quantum chemistry}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {25002}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab6ac4}, doi = {10.1088/2632-2153/AB6AC4}, timestamp = {Wed, 16 Mar 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/HeinenSRL20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HejaziLFOK20, author = {Davoud Hejazi and Shuangjun Liu and Amirreza Farnoosh and Sarah Ostadabbas and Swastik Kar}, title = {Development of use-specific high-performance cyber-nanomaterial optical detectors by effective choice of machine learning algorithms}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {25007}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab8967}, doi = {10.1088/2632-2153/AB8967}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HejaziLFOK20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HelfrechtCFC20, author = {Benjamin A. Helfrecht and Rose K. Cersonsky and Guillaume Fraux and Michele Ceriotti}, title = {Structure-property maps with Kernel principal covariates regression}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45021}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/aba9ef}, doi = {10.1088/2632-2153/ABA9EF}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HelfrechtCFC20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HinrichMM20, author = {Jesper L{\o}ve Hinrich and Kristoffer H. Madsen and Morten M{\o}rup}, title = {The probabilistic tensor decomposition toolbox}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {25011}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab8241}, doi = {10.1088/2632-2153/AB8241}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HinrichMM20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HodappS20, author = {Max Hodapp and Alexander V. Shapeev}, title = {In operando active learning of interatomic interaction during large-scale simulations}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45005}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/aba373}, doi = {10.1088/2632-2153/ABA373}, timestamp = {Wed, 06 Jul 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HodappS20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HortuaMV20, author = {H{\'{e}}ctor J. Hort{\'{u}}a and Luigi Malag{\`{o}} and Riccardo Volpi}, title = {Constraining the Reionization History using Bayesian Normalizing Flows}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {3}, pages = {35014}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/aba6f1}, doi = {10.1088/2632-2153/ABA6F1}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HortuaMV20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/HyunKCCS20, author = {Chang Min Hyun and Kang Cheol Kim and Hyun Cheol Cho and Jae Kyu Choi and Jin Keun Seo}, title = {Framelet pooling aided deep learning network: the method to process high dimensional medical data}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {1}, pages = {15009}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab592b}, doi = {10.1088/2632-2153/AB592B}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/HyunKCCS20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/IessCMP20, author = {Alberto Iess and Elena Cuoco and Filip Morawski and Jade Powell}, title = {Core-Collapse supernova gravitational-wave search and deep learning classification}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {25014}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab7d31}, doi = {10.1088/2632-2153/AB7D31}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/IessCMP20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/IovanacS20, author = {Nicolae C. Iovanac and Brett M. Savoie}, title = {Improving the generative performance of chemical autoencoders through transfer learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45010}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/abae75}, doi = {10.1088/2632-2153/ABAE75}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/IovanacS20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KamalCBR20, author = {Deepak Kamal and Anand Chandrasekaran and Rohit Batra and Rampi Ramprasad}, title = {A charge density prediction model for hydrocarbons using deep neural networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {25003}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab5929}, doi = {10.1088/2632-2153/AB5929}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KamalCBR20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KawaiN20, author = {Hiroki Kawai and Yuya O. Nakagawa}, title = {Predicting excited states from ground state wavefunction by supervised quantum machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45027}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/aba183}, doi = {10.1088/2632-2153/ABA183}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KawaiN20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KrennHNFA20, author = {Mario Krenn and Florian H{\"{a}}se and AkshatKumar Nigam and Pascal Friederich and Al{\'{a}}n Aspuru{-}Guzik}, title = {Self-referencing embedded strings {(SELFIES):} {A} 100{\%} robust molecular string representation}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45024}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/aba947}, doi = {10.1088/2632-2153/ABA947}, timestamp = {Mon, 26 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KrennHNFA20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Lamata20, author = {Lucas Lamata}, title = {Quantum machine learning and quantum biomimetics: {A} perspective}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {3}, pages = {33002}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab9803}, doi = {10.1088/2632-2153/AB9803}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Lamata20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LambardG20, author = {Guillaume Lambard and Ekaterina Gracheva}, title = {{SMILES-X:} autonomous molecular compounds characterization for small datasets without descriptors}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {25004}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab57f3}, doi = {10.1088/2632-2153/AB57F3}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LambardG20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LeeF20, author = {Woo{-}Seok Lee and Sergej Flach}, title = {Deep learning of chaos classification}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45019}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/abb6d3}, doi = {10.1088/2632-2153/ABB6D3}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LeeF20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LentonVSNR20, author = {Isaac C. D. Lenton and Giovanni Volpe and Alexander B. Stilgoe and Timo A. Nieminen and Halina Rubinsztein{-}Dunlop}, title = {Machine learning reveals complex behaviours in optically trapped particles}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45009}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/abae76}, doi = {10.1088/2632-2153/ABAE76}, timestamp = {Wed, 16 Mar 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/LentonVSNR20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Lilienfeld20, author = {O. Anatole von Lilienfeld}, title = {Introducing Machine Learning: Science and Technology}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {1}, pages = {10201}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab6d5d}, doi = {10.1088/2632-2153/AB6D5D}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Lilienfeld20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LiuATB20, author = {Shusen Liu and Rushil Anirudh and Jayaraman J. Thiagarajan and Peer{-}Timo Bremer}, title = {Uncovering interpretable relationships in high-dimensional scientific data through function preserving projections}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45016}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/abab60}, doi = {10.1088/2632-2153/ABAB60}, timestamp = {Wed, 30 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LiuATB20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LiuCLLC20, author = {Genyue Liu and Mo Chen and Yi{-}Xiang Liu and David Layden and Paola Cappellaro}, title = {Repetitive readout enhanced by machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {1}, pages = {15003}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab4e24}, doi = {10.1088/2632-2153/AB4E24}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LiuCLLC20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LohaniG20, author = {Sanjaya Lohani and Ryan T. Glasser}, title = {Coherent optical communications enhanced by machine intelligence}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {3}, pages = {35006}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab9c3d}, doi = {10.1088/2632-2153/AB9C3D}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LohaniG20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/LohaniKBDG20, author = {Sanjaya Lohani and Brian T. Kirby and Michael Brodsky and Onur Danaci and Ryan T. Glasser}, title = {Machine learning assisted quantum state estimation}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {3}, pages = {35007}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab9a21}, doi = {10.1088/2632-2153/AB9A21}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/LohaniKBDG20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ManginiTGMB20, author = {Stefano Mangini and Francesco Tacchino and Dario Gerace and Chiara Macchiavello and Daniele Bajoni}, title = {Quantum computing model of an artificial neuron with continuously valued input data}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45008}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/abaf98}, doi = {10.1088/2632-2153/ABAF98}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ManginiTGMB20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Manzhos20, author = {Sergei Manzhos}, title = {Machine learning for the solution of the Schr{\"{o}}dinger equation}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {1}, pages = {13002}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab7d30}, doi = {10.1088/2632-2153/AB7D30}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Manzhos20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/McCandlessKP20, author = {Tyler C. McCandless and Branko Kosovic and William Petzke}, title = {Enhancing wildfire spread modelling by building a gridded fuel moisture content product with machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {3}, pages = {35010}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/aba480}, doi = {10.1088/2632-2153/ABA480}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/McCandlessKP20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/McCluskeyCAS20, author = {Andrew McCluskey and Joshaniel F. K. Cooper and Tom Arnold and Tim Snow}, title = {A general approach to maximise information density in neutron reflectometry analysis}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {3}, pages = {35002}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab94c4}, doi = {10.1088/2632-2153/AB94C4}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/McCluskeyCAS20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MeltonNOBRZBJKZ20, author = {Charles N. Melton and Marcus Michael Noack and Taisuke Ohta and Thomas E. Beechem and Jeremy Robinson and Xiaotian Zhang and Aaron Bostwick and Chris Jozwiak and Roland J. Koch and Petrus H. Zwart and Alexander Hexemer and Eli Rotenberg}, title = {K-means-driven Gaussian Process data collection for angle-resolved photoemission spectroscopy}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45015}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/abab61}, doi = {10.1088/2632-2153/ABAB61}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MeltonNOBRZBJKZ20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MishraRN20, author = {Amit Mishra and Pranath Reddy and Rahul Nigam}, title = {Baryon density extraction and isotropy analysis of cosmic microwave background using deep learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45012}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/abab63}, doi = {10.1088/2632-2153/ABAB63}, timestamp = {Thu, 14 Oct 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MishraRN20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/MorawskiBC20, author = {Filip Morawski and Michal Bejger and Pawel Ciecielag}, title = {Convolutional neural network classifier for the output of the time-domain {\textdollar}{\textbackslash}mathcal\{F\}{\textdollar}-statistic all-sky search for continuous gravitational waves}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {25016}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab86c7}, doi = {10.1088/2632-2153/AB86C7}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/MorawskiBC20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/OakesMG20, author = {Tom H. E. Oakes and Adam Moss and Juan P. Garrahan}, title = {A deep learning functional estimator of optimal dynamics for sampling large deviations}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {3}, pages = {35004}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab95a1}, doi = {10.1088/2632-2153/AB95A1}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/OakesMG20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/OordDCO20, author = {Cas van der Oord and Genevi{\`{e}}ve Dusson and G{\'{a}}bor Cs{\'{a}}nyi and Christoph Ortner}, title = {Regularised atomic body-ordered permutation-invariant polynomials for the construction of interatomic potentials}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {1}, pages = {15004}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab527c}, doi = {10.1088/2632-2153/AB527C}, timestamp = {Fri, 13 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/OordDCO20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/OxleyYBSZLJVK20, author = {M. P. Oxley and Junqi Yin and N. Borodinov and Suhas Somnath and Maxim A. Ziatdinov and Andrew R. Lupini and Stephen Jesse and Rama K. Vasudevan and Sergei V. Kalinin}, title = {Deep learning of interface structures from simulated 4D {STEM} data: cation intermixing vs. roughening}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {04}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/aba32d}, doi = {10.1088/2632-2153/ABA32D}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/OxleyYBSZLJVK20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/PawlowskiU20, author = {Jan M. Pawlowski and Julian M. Urban}, title = {Reducing autocorrelation times in lattice simulations with generative adversarial networks}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45011}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/abae73}, doi = {10.1088/2632-2153/ABAE73}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/PawlowskiU20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/PernotHS20, author = {Pascal Pernot and Bing Huang and Andreas Savin}, title = {Impact of non-normal error distributions on the benchmarking and ranking of quantum machine learning models}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {3}, pages = {35011}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/aba184}, doi = {10.1088/2632-2153/ABA184}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/PernotHS20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/RashidiCMTHW20, author = {Mohammad Rashidi and Jeremiah Croshaw and Kieran Mastel and Marcus Tamura and Hedieh Hosseinzadeh and Robert A. Wolkow}, title = {Deep learning-guided surface characterization for autonomous hydrogen lithography}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {25001}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab6d5e}, doi = {10.1088/2632-2153/AB6D5E}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/RashidiCMTHW20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/RudorffHBL20, author = {Guido Falk von Rudorff and Stefan N. Heinen and Marco Bragato and O. Anatole von Lilienfeld}, title = {Thousands of reactants and transition states for competing {E2} and S{\textdollar}{\_}{\textbackslash}mathrm\{N\}{\textdollar}2 reactions}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45026}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/aba822}, doi = {10.1088/2632-2153/ABA822}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/RudorffHBL20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SchaferKBL20, author = {Frank Sch{\"{a}}fer and Michal Kloc and Christoph Bruder and Niels L{\"{o}}rch}, title = {A differentiable programming method for quantum control}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {3}, pages = {35009}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab9802}, doi = {10.1088/2632-2153/AB9802}, timestamp = {Sat, 30 Sep 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SchaferKBL20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SchindlerJ20, author = {Frank Schindler and Adam S. Jermyn}, title = {Algorithms for tensor network contraction ordering}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {3}, pages = {35001}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab94c5}, doi = {10.1088/2632-2153/AB94C5}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SchindlerJ20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ShanJYLPW20, author = {Hongming Shan and Xun Jia and Pingkun Yan and Yunyao Li and Harald Paganetti and Ge Wang}, title = {Synergizing medical imaging and radiotherapy with deep learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {21001}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab869f}, doi = {10.1088/2632-2153/AB869F}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ShanJYLPW20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Simsek20, author = {Ergun Simsek}, title = {Determining optical constants of 2D materials with neural networks from multi-angle reflectometry data}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {1}, pages = {01}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab6d5f}, doi = {10.1088/2632-2153/AB6D5F}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Simsek20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SivaramanJSVAVP20, author = {Ganesh Sivaraman and Nicholas E. Jackson and Benjam{\'{\i}}n S{\'{a}}nchez{-}Lengeling and {\'{A}}lvaro V{\'{a}}zquez{-}Mayagoitia and Al{\'{a}}n Aspuru{-}Guzik and Venkatram Vishwanath and Juan J. de Pablo}, title = {A machine learning workflow for molecular analysis: application to melting points}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {25015}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab8aa3}, doi = {10.1088/2632-2153/AB8AA3}, timestamp = {Wed, 16 Mar 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/mlst/SivaramanJSVAVP20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/StieffenhoferWB20, author = {Marc Stieffenhofer and Michael Wand and Tristan Bereau}, title = {Adversarial reverse mapping of equilibrated condensed-phase molecular structures}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45014}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/abb6d4}, doi = {10.1088/2632-2153/ABB6D4}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/StieffenhoferWB20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/StielowSPFS20, author = {Thomas Stielow and Robin Schmidt and Christian Peltz and Thomas Fennel and S. Scheel}, title = {Fast reconstruction of single-shot wide-angle diffraction images through deep learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45007}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/abb213}, doi = {10.1088/2632-2153/ABB213}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/StielowSPFS20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/Strong20, author = {Giles Chatham Strong}, title = {On the impact of selected modern deep-learning techniques to the performance and celerity of classification models in an experimental high-energy physics use case}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45006}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab983a}, doi = {10.1088/2632-2153/AB983A}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/Strong20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/SunKBK20, author = {Chang Sun and Eurika Kaiser and Steven L. Brunton and J. Nathan Kutz}, title = {Deep reinforcement learning for optical systems: {A} case study of mode-locked lasers}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45013}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/abb6d6}, doi = {10.1088/2632-2153/ABB6D6}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/SunKBK20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/TranNYZXU20, author = {Kevin Tran and Willie Neiswanger and Junwoong Yoon and Qingyang Zhang and Eric P. Xing and Zachary W. Ulissi}, title = {Methods for comparing uncertainty quantifications for material property predictions}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {25006}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab7e1a}, doi = {10.1088/2632-2153/AB7E1A}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/TranNYZXU20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/TruongSVA20, author = {Duc Phan Minh Truong and Erik Skau and Vladimir I. Valtchinov and Boian S. Alexandrov}, title = {Determination of latent dimensionality in international trade flow}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45017}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/aba9ee}, doi = {10.1088/2632-2153/ABA9EE}, timestamp = {Fri, 07 Jul 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/TruongSVA20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/UnkeKPKM20, author = {Oliver T. Unke and Debasish Koner and Sarbani Patra and Silvan K{\"{a}}ser and Markus Meuwly}, title = {High-dimensional potential energy surfaces for molecular simulations: from empiricism to machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {1}, pages = {13001}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab5922}, doi = {10.1088/2632-2153/AB5922}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/UnkeKPKM20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/VarolgunesBR20, author = {Yasemin Bozkurt Varolgunes and Tristan Bereau and Joseph F. Rudzinski}, title = {Interpretable embeddings from molecular simulations using Gaussian mixture variational autoencoders}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {1}, pages = {15012}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab80b7}, doi = {10.1088/2632-2153/AB80B7}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/VarolgunesBR20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/VenturiPAV20, author = {Victor Venturi and Holden Parks and Zeeshan Ahmad and Venkatasubramanian Viswanathan}, title = {Machine learning enabled discovery of application dependent design principles for two-dimensional materials}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {3}, pages = {35015}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/aba002}, doi = {10.1088/2632-2153/ABA002}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/VenturiPAV20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/VladykaA20, author = {Anton Vladyka and Tim Albrecht}, title = {Unsupervised classification of single-molecule data with autoencoders and transfer learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {3}, pages = {35013}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/aba6f2}, doi = {10.1088/2632-2153/ABA6F2}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/VladykaA20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WestermayrFCLM20, author = {Julia Westermayr and Felix A. Faber and Anders S. Christensen and O. Anatole von Lilienfeld and Philipp Marquetand}, title = {Neural networks and kernel ridge regression for excited states dynamics of CH2NH{\textdollar}{\_}2+{\textdollar}: From single-state to multi-state representations and multi-property machine learning models}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {25009}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab88d0}, doi = {10.1088/2632-2153/AB88D0}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WestermayrFCLM20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WestermayrM20, author = {Julia Westermayr and Philipp Marquetand}, title = {Machine learning and excited-state molecular dynamics}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {43001}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab9c3e}, doi = {10.1088/2632-2153/AB9C3E}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WestermayrM20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WinciBSKAA20, author = {Walter Winci and Lorenzo Buffoni and Hossein Sadeghi and Amir Khoshaman and Evgeny Andriyash and Mohammad H. Amin}, title = {A path towards quantum advantage in training deep generative models with quantum annealers}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {4}, pages = {45028}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/aba220}, doi = {10.1088/2632-2153/ABA220}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WinciBSKAA20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/WuZ20, author = {Yadong Wu and Hui Zhai}, title = {Modified independent component analysis for extracting Eigen-Modes of a quantum system}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {25010}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab862d}, doi = {10.1088/2632-2153/AB862D}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/WuZ20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/X20, title = {A deep neural network to search for new long-lived particles decaying to jets}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {3}, pages = {35012}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab9023}, doi = {10.1088/2632-2153/AB9023}, timestamp = {Mon, 09 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/X20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/ZhouLCBB20, author = {Sharon Zhou and Alexandra Luccioni and Gautier Cosne and Michael S. Bernstein and Yoshua Bengio}, title = {Establishing an evaluation metric to quantify climate change image realism}, journal = {Mach. Learn. Sci. Technol.}, volume = {1}, number = {2}, pages = {25005}, year = {2020}, url = {https://doi.org/10.1088/2632-2153/ab7657}, doi = {10.1088/2632-2153/AB7657}, timestamp = {Thu, 12 Aug 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/ZhouLCBB20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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