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Machine Learning: Science and Technology, Volume 4
Volume 4, Number 1, March 2023
- Pablo Lemos
, Miles D. Cranmer
, Muntazir Abidi, ChangHoon Hahn, Michael Eickenberg, Elena Massara, David Yallup, Shirley Ho
:
Robust simulation-based inference in cosmology with Bayesian neural networks. 01 - Simone Ciarella
, Jeanne Trinquier, Martin Weigt
, Francesco Zamponi
:
Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems. 10501 - Nihang Fu, Lai Wei
, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee
, Rongzhi Dong, Edirisuriya M. Dilanga Siriwardane
, Jianjun Hu
:
Material transformers: deep learning language models for generative materials design. 15001 - Alexandre Boulle
, A Debelle:
Convolutional neural network analysis of x-ray diffraction data: strain profile retrieval in ion beam modified materials. 15002 - Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
:
Learning the dynamics of particle-based systems with Lagrangian graph neural networks. 15003 - Muhammad Kashif
, Saif M. Al-Kuwari
:
The impact of cost function globality and locality in hybrid quantum neural networks on NISQ devices. 15004 - Tobias Haug
, Chris N. Self, M. S. Kim:
Quantum machine learning of large datasets using randomized measurements. 15005 - Gunhee Park
, Joonsuk Huh
, Daniel K. Park
:
Variational quantum one-class classifier. 15006 - Abdulhakim Alnuqaydan
, Sergei Gleyzer, Harrison Prosper:
SYMBA: symbolic computation of squared amplitudes in high energy physics with machine learning. 15007 - Petr Mánek
, Graham W. Van Goffrier
, Vignesh Gopakumar
, Nikolaos Nikolaou
, Jonathan Shimwell
, Ingo P. Waldmann
:
Fast regression of the tritium breeding ratio in fusion reactors. 15008 - Pongpisit Thanasutives
, Takashi Morita
, Masayuki Numao
, Ken-ichi Fukui
:
Noise-aware physics-informed machine learning for robust PDE discovery. 15009 - Yongqiang Cheng
, Geoffrey Wu, Daniel M. Pajerowski, Matthew B. Stone
, Andrei T. Savici
, Mingda Li
, Anibal Ramirez-Cuesta
:
Direct prediction of inelastic neutron scattering spectra from the crystal structure. 15010 - Arpan Biswas
, Rama K. Vasudevan
, Maxim A. Ziatdinov
, Sergei V. Kalinin:
Optimizing training trajectories in variational autoencoders via latent Bayesian optimization approach *. 15011 - Artan Sheshmani, Yi-Zhuang You
, Wenbo Fu, Ahmadreza Azizi:
Categorical representation learning and RG flow operators for algorithmic classifiers. 15012 - Chandrajit Bajaj, Luke McLennan, Timothy Andeen, Avik Roy
:
Recipes for when physics fails: recovering robust learning of physics informed neural networks. 15013 - Alexander Luce
, Ali Mahdavi
, Heribert Wankerl
, Florian Marquardt
:
Investigation of inverse design of multilayer thin-films with conditional invertible neural networks. 15014 - Marco Corrias
, Lorenzo Papa, Igor Sokolovic, Viktor Birschitzky, Alexander Gorfer
, Martin Setvin
, Michael Schmid
, Ulrike Diebold, Michele Reticcioli
, Cesare Franchini
:
Automated real-space lattice extraction for atomic force microscopy images. 15015 - Dmitri Iouchtchenko
, Jérôme F. Gonthier
, Alejandro Perdomo-Ortiz
, Roger G. Melko
:
Neural network enhanced measurement efficiency for molecular groundstates. 15016 - Varun Shankar
, Vedant Puri
, Ramesh Balakrishnan
, Romit Maulik
, Venkatasubramanian Viswanathan
:
Differentiable physics-enabled closure modeling for Burgers' turbulence. 15017 - Christyan Cruz Ulloa
, Luis Garrido, Jaime del Cerro
, Antonio Barrientos:
Autonomous victim detection system based on deep learning and multispectral imagery. 15018 - Elisabetta Cornacchia, Francesca Mignacco
, Rodrigo Veiga
, Cédric Gerbelot, Bruno Loureiro, Lenka Zdeborová:
Learning curves for the multi-class teacher-student perceptron. 15019 - Sascha Klawohn
, James R. Kermode
, Albert P. Bartók
:
Massively parallel fitting of Gaussian approximation potentials. 15020 - Chris Tennant
, Brian Freeman, Reza Kazimi, Daniel Moser, Dan T. Abell
, Jonathan P. Edelen
, Joshua Einstein-Curtis:
A smart alarm for particle accelerator beamline operations. 15021 - Brendan Folie
, Maxwell Hutchinson:
Multivariate prediction intervals for bagged models. 15022 - Stefano Mensa
, Mustafa Emre Sahin
, Francesco Tacchino
, Panagiotis Kl. Barkoutsos
, Ivano Tavernelli
:
Quantum machine learning framework for virtual screening in drug discovery: a prospective quantum advantage. 15023 - Horacio Olivares-Pilón
, Adrian M. Escobar-Ruiz
, Mario Alan Quiroz-Juárez
, Norberto Aquino
:
Confined hydrogen atom: endohedrals H@C36 and H@C60. 15024 - Laura Gambini
, Tiarnan Mullarkey
, Lewys Jones
, Stefano Sanvito
:
Machine-learning approach for quantified resolvability enhancement of low-dose STEM data. 15025 - Shoummo Ahsan Khandoker
, Jawaril Munshad Abedin, Mohamed Hibat-Allah
:
Supplementing recurrent neural networks with annealing to solve combinatorial optimization problems. 15026 - Joshua A. Rackers
, Lucas Tecot, Mario Geiger, Tess E. Smidt:
A recipe for cracking the quantum scaling limit with machine learned electron densities. 15027 - Tingting Xue
, Xu Li
, Xiaosong Chen, Li Chen
, Zhangang Han:
Machine learning phases in swarming systems. 15028 - Assaf Shmuel
, Eyal Heifetz
:
Developing novel machine-learning-based fire weather indices. 15029 - Mehmet Akif Özdemir
, Gizem Dilara Ozdemir
, Merve Gul, Onan Güren, Utku Kursat Ercan
:
Machine learning to predict the antimicrobial activity of cold atmospheric plasma-activated liquids. 15030 - Truong Son Hy
, Risi Kondor:
Multiresolution equivariant graph variational autoencoder. 15031 - Min-Ruei Lin, Wan-Ju Li
, Shin-Ming Huang
:
Quaternion-based machine learning on topological quantum systems. 15032 - Lakshmi Revathi Krosuri
, Aravapalli Rama Satish
:
Novel heuristic-based hybrid ResNeXt with recurrent neural network to handle multi class classification of sentiment analysis. 15033 - Chang Min Hyun
, Tae Jun Jang
, Jeongchan Nam, Hyeuknam Kwon, Kiwan Jeon, Kyounghun Lee
:
Machine learning-based signal quality assessment for cardiac volume monitoring in electrical impedance tomography. 15034 - Xiao Liang
, Mingfan Li, Qian Xiao, Junshi Chen, Chao Yang, Hong An, Lixin He
:
Deep learning representations for quantum many-body systems on heterogeneous hardware. 15035 - K. M. Abubeker
, S. Baskar:
B2-Net: an artificial intelligence powered machine learning framework for the classification of pneumonia in chest x-ray images. 15036 - Luis M. Antunes
, Keith T. Butler
, Ricardo Grau-Crespo
:
Predicting thermoelectric transport properties from composition with attention-based deep learning. 15037
Volume 4, Number 2, June 2023
- S. V. Venkatakrishnan
, Chris M. Fancher
, Maxim A. Ziatdinov
, Rama K. Vasudevan
, Kyle Saleeby
, James Haley
, Dunji Yu
, Ke An
, Alex Plotkowski:
Adaptive sampling for accelerating neutron diffraction-based strain mapping *. 25001 - Jingzu Yee
, Daichi Igarashi, Shun Miyatake, Yoshiyuki Tagawa
:
Prediction of the morphological evolution of a splashing drop using an encoder-decoder. 25002 - Junyu Liu
, Changchun Zhong, Matthew Otten
, Anirban Chandra, Cristian L. Cortes, Chaoyang Ti
, Stephen K. Gray, Xu Han:
Quantum Kerr learning. 25003 - Elham E Khoda
, Dylan S. Rankin
, Rafael Teixeira de Lima
, Philip C. Harris
, Scott Hauck
, Shih-Chieh Hsu
, Michael Kagan
, Vladimir Loncar
, Chaitanya Paikara, Richa Rao, Sioni Summers
, Caterina Vernieri
, Aaron Wang
:
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml. 25004 - Carlotta Trigila
, Anirudh Srikanth, Emilie Roncali
:
A generative adversarial network to speed up optical Monte Carlo simulations. 25005 - Davide Piras
, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord
:
A robust estimator of mutual information for deep learning interpretability. 25006 - Samuel Duffield
, Marcello Benedetti
, Matthias Rosenkranz
:
Bayesian learning of parameterised quantum circuits. 25007 - Insoo Kim
, Minhyeok Lee
, Junhee Seok
:
ICEGAN: inverse covariance estimating generative adversarial network. 25008 - Lars Dingeldein
, Pilar Cossio, Roberto Covino
:
Simulation-based inference of single-molecule force spectroscopy. 25009 - Simone Ciarella
, Massimiliano Chiappini, Emanuele Boattini, Marjolein Dijkstra
, Liesbeth M. C. Janssen
:
Dynamics of supercooled liquids from static averaged quantities using machine learning. 25010 - Aydin Göze Polat
, Ferda Nur Alpaslan
:
The reusability prior: comparing deep learning models without training. 25011 - Ana Larrañaga
, Steven L. Brunton, Javier Martínez, Sergio Chapela
, Jacobo Porteiro
:
Data-driven prediction of the performance of enhanced surfaces from an extensive CFD-generated parametric search space. 25012 - Aleksandra Ciprijanovic
, Ashia Lewis
, Kevin Pedro
, Sandeep Madireddy
, Brian Nord
, Gabriel N. Perdue
, Stefan M. Wild
:
DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection. 25013 - Patrick Emami
, Aidan Perreault, Jeffrey N. Law, David Biagioni, Peter C. St. John
:
Plug & play directed evolution of proteins with gradient-based discrete MCMC. 25014 - Jhansi Rani Challapalli
, Nagaraju Devarakonda
:
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. 25015 - Francesco Velotti
, Brennan Goddard, Verena Kain, Rebecca Louise Ramjiawan, Giovanni Zevi Della Porta, Simon Hirlaender
:
Towards automatic setup of 18 MeV electron beamline using machine learning. 25016 - Jan Weinreich
, Guido Falk von Rudorff, O. Anatole von Lilienfeld
:
Encrypted machine learning of molecular quantum properties. 25017 - Said Ouala
, Bertrand Chapron
, Fabrice Collard, Lucile Gaultier, Ronan Fablet:
Extending the extended dynamic mode decomposition with latent observables: the latent EDMD framework. 25018 - Cameron J. Gruich
, Varun Madhavan
, Yixin Wang
, Bryan R. Goldsmith
:
Clarifying trust of materials property predictions using neural networks with distribution-specific uncertainty quantification. 25019 - Yongcheng Ding
, Xi Chen
, José Rafael Magdalena Benedicto
, José D. Martín-Guerrero
:
Closed-loop control of a noisy qubit with reinforcement learning. 25020
Volume 4, Number 3, September 2023
- Jakub Rydzewski
, Ming Chen
, Omar Valsson
:
Manifold learning in atomistic simulations: a conceptual review. 31001 - Gang Seob Jung
, Hunjoo Myung, Stephan Irle
:
Artificial neural network potentials for mechanics and fracture dynamics of two-dimensional crystals **. 35001 - Shawn G. Rosofsky
, Eliu A. Huerta
:
Magnetohydrodynamics with physics informed neural operators. 35002 - Ayush Khot
, Mark S. Neubauer
, Avik Roy
:
A detailed study of interpretability of deep neural network based top taggers. 35003 - Emiliano Diaz
, Gherardo Varando, Juan Emmanuel Johnson, Gustau Camps-Valls:
Learning latent functions for causal discovery. 35004 - Valerio Briganti
, Alessandro Lunghi
:
Efficient generation of stable linear machine-learning force fields with uncertainty-aware active learning. 35005 - Shampa Raghunathan
, Sai Ajay Kashyap Nakirikanti:
Intramolecular proton transfer reaction dynamics using machine-learned ab initio potential energy surfaces. 35006 - Tobias Schanz
, Klas Ove Möller
, Saskia Rühl
, David S. Greenberg
:
Robust detection of marine life with label-free image feature learning and probability calibration. 35007 - Harpreet Kaur
, Thomas Franosch
, Michele Caraglio
:
Adaptive active Brownian particles searching for targets of unknown positions. 35008 - Javier Lopez-Piqueres
, Jing Chen
, Alejandro Perdomo-Ortiz
:
Symmetric tensor networks for generative modeling and constrained combinatorial optimization. 35009 - Mao Su
, Ji-Hui Yang, Hongjun Xiang
, Xingao Gong
:
Efficient determination of the Hamiltonian and electronic properties using graph neural network with complete local coordinates. 35010 - Michael J. Williams
, John Veitch
, Chris Messenger
:
Importance nested sampling with normalising flows. 35011 - Nicholas M. Boffi
, Eric Vanden-Eijnden:
Probability flow solution of the Fokker-Planck equation. 35012 - Eric Lin, Boyuan Liu, Leann Lac, Daryl L. X. Fung, Carson K. Leung
, Pingzhao Hu
:
scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data. 35013 - Miruna T. Cretu
, Alessandra Toniato
, Amol Thakkar
, Amin A Debabeche, Teodoro Laino
, Alain C. Vaucher
:
Standardizing chemical compounds with language models. 35014 - Harbir Antil
, Howard C. Elman, Akwum Onwunta
, Deepanshu Verma:
A deep neural network approach for parameterized PDEs and Bayesian inverse problems. 35015 - Florian B. Hinz, Amr H. Mahmoud, Markus A. Lill
:
Prediction of molecular field points using SE(3)-transformer model. 35016 - Odilon Duranthon
, Lenka Zdeborová:
Neural-prior stochastic block model. 35017 - Thomas Templin
, Milad Memarzadeh, Walter Vinci, Paul Aaron Lott, Ata Akbari Asanjan, Anthony Alexiades Armenakas, Eleanor Gilbert Rieffel:
Anomaly detection in aeronautics data with quantum-compatible discrete deep generative model. 35018 - Dongjin Lee
, Seong-Heon Lee
, Jae-Hun Jung
:
The effects of topological features on convolutional neural networks - an explanatory analysis via Grad-CAM. 35019 - Ouail Kitouni
, Niklas Nolte
, Mike Williams
:
Robust and provably monotonic networks. 35020 - Sandy Adhitia Ekahana
, Genta Indra Winata, Y. Soh, Anna Tamai
, Radovic Milan, Gabriel Aeppli, Ming Shi
:
Transfer learning application of self-supervised learning in ARPES. 35021 - Jun Yang
, James Whitfield
:
Machine-learning Kohn-Sham potential from dynamics in time-dependent Kohn-Sham systems. 35022 - Adam Wunderlich
, Jack Sklar
:
Data-driven modeling of noise time series with convolutional generative adversarial networks ∗. 35023 - Philippe Bacon
, Agata Trovato, Michal Bejger
:
Denoising gravitational-wave signals from binary black holes with a dilated convolutional autoencoder. 35024 - Simon Axelrod
, Rafael Gómez-Bombarelli
:
Molecular machine learning with conformer ensembles. 35025 - Song Jin Ri
, Pavel Putrov:
Graph Neural Networks and 3-dimensional topology. 35026 - Maxwell T. West
, Martin Sevior, Muhammad Usman
:
Reflection equivariant quantum neural networks for enhanced image classification. 35027 - Sonja Grönroos
, Maurizio Pierini
, Nadezda Chernyavskaya
:
Automated visual inspection of CMS HGCAL silicon sensor surface using an ensemble of a deep convolutional autoencoder and classifier. 35028 - Gaia Grosso, Nicolò Lai, Marco Letizia, Jacopo Pazzini, Marco Rando, Lorenzo Rosasco, Andrea Wulzer, Marco Zanetti:
Fast kernel methods for data quality monitoring as a goodness-of-fit test. 35029 - Guojing Cong
, Victor Fung
:
Improving materials property predictions for graph neural networks with minimal feature engineering *. 35030 - Joshua A. Vita
, Daniel Schwalbe-Koda
:
Data efficiency and extrapolation trends in neural network interatomic potentials. 35031 - Sofia-Paraskevi Moschou
, Elliot Hicks
, R. Y. Parekh, D. Mathew, S. Majumdar, Nektarios Vlahakis
:
Physics-informed neural networks for modeling astrophysical shocks. 35032 - Hugo Cui
, Bruno Loureiro, Florent Krzakala
, Lenka Zdeborová:
Error scaling laws for kernel classification under source and capacity conditions. 35033 - M. I K. Haq
, Intan Nurma Yulita, I A Dharmawan
:
A study of transfer learning in digital rock properties measurement. 35034 - Gregory A. Daly
, Jonathan E. Fieldsend
, Graham Hassall, Gavin R. Tabor
:
Data-driven plasma modelling: surrogate collisional radiative models of fluorocarbon plasmas from deep generative autoencoders. 35035 - Mohammad Kordzanganeh
, Pavel Sekatski
, Leonid Fedichkin
, Alexey Melnikov
:
An exponentially-growing family of universal quantum circuits. 35036 - Eyal Rozenberg
, Daniel Freedman:
Semi-equivariant conditional normalizing flows, with applications to target-aware molecule generation. 35037 - Iulian Emil Tampu
, Neda Haj-Hosseini
, Ida Blystad
, Anders Eklund
:
Deep learning-based detection and identification of brain tumor biomarkers in quantitative MR-images. 35038 - Peter Wirnsberger
, Borja Ibarz
, George Papamakarios
:
Estimating Gibbs free energies via isobaric-isothermal flows. 35039 - Samuel Tovey
, Sven Krippendorf
, Konstantin Nikolaou
, Christian Holm
:
Towards a phenomenological understanding of neural networks: data. 35040 - Dileep Kumar Soother
, Manuel Domínguez Pumar
, Elisa Sayrol-Clols
, Josefina Torres
, Mercedes Marín
, Javier Gómez-Elvira
, Luis Mora
, Sara Navarro
, José Antonio Rodríguez Manfredi
:
Improving resilience of sensors in planetary exploration using data-driven models. 35041 - Anton Charkin-Gorbulin, Kyle Cranmer
, Francesco Armando Di Bello, Etienne Dreyer
, Sanmay Ganguly
, Eilam Gross, Lukas Heinrich, Marumi Kado, Nilotpal Kakati, Patrick Rieck, Lorenzo Santi
, Matteo Tusoni:
Configurable calorimeter simulation for AI applications. 35042 - Lea M. Trenkwalder
, Andrea López-Incera, Hendrik Poulsen Nautrup
, Fulvio Flamini
, Hans J. Briegel
:
Automated gadget discovery in the quantum domain. 35043 - Sascha Diefenbacher
, Engin Eren
, Frank Gaede, Gregor Kasieczka, Anatolii Korol, Katja Krüger, Peter McKeown
, Lennart Rustige
:
New angles on fast calorimeter shower simulation. 35044 - Artem Fediai, Patrick Reiser
, Jorge Enrique Olivares Peña, Wolfgang Wenzel, Pascal Friederich
:
Interpretable delta-learning of GW quasiparticle energies from GGA-DFT. 35045 - Adrian Radu
, Carlos A Duque
:
Deep learning neural network for approaching Schrödinger problems with arbitrary two-dimensional confinement. 35046 - Zhao-Min Chen
, Xin Jin
, Xiaoqin Zhang
, Chaoqun Xia
, Zhiyong Pan
, Ruoxi Deng
, Jie Hu
, Heng Chen
:
DIM: long-tailed object detection and instance segmentation via dynamic instance memory. 35047 - Nina Baldy
, Nicolas Simon, Viktor K. Jirsa
, Meysam Hashemi
:
Hierarchical Bayesian pharmacometrics analysis of Baclofen for alcohol use disorder. 35048 - Archis S. Joglekar
, Alexander G. R. Thomas
:
Machine learning of hidden variables in multiscale fluid simulation. 35049 - Sebastian Falkner
, Alessandro Coretti
, Salvatore Romano
, Phillip L. Geissler
, Christoph Dellago
:
Conditioning Boltzmann generators for rare event sampling. 35050
Volume 4, Number 4, December 2023
- Josua Faller
, Narbota Amanova
, Ruben E. van Engen
, Jörg Martin, Clemens Elster
:
About the generalizability of deep learning based image quality assessment in mammography. 45001 - Pablo Lemos
, Niall Jeffrey, Miles D. Cranmer
, Shirley Ho
, Peter W. Battaglia:
Rediscovering orbital mechanics with machine learning. 45002 - Senwei Liang
, Aditya N. Singh
, Yuanran Zhu
, David T. Limmer
, Chao Yang
:
Probing reaction channels via reinforcement learning. 45003 - Arpan Biswas
, Maxim A. Ziatdinov
, Sergei V. Kalinin:
Combining variational autoencoders and physical bias for improved microscopy data analysis ∗. 45004