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Publication search results
found 295 matches
- 2024
- Marco Palmiotto, Alexandre Arbey, Farvah Mahmoudi:
DarkPACK: A modular software to compute BSM squared amplitudes for particle physics and dark matter observables. Comput. Phys. Commun. 294: 108905 (2024) - Laurits Tani, Christian Veelken:
Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics. Comput. Phys. Commun. 294: 108955 (2024) - Marc Neu, Jürgen Becker, Philipp Dorwarth, Torben Ferber, Lea Reuter, Slavomira Stefkova, Kai Lukas Unger:
Real-Time Graph Building on FPGAs for Machine Learning Trigger Applications in Particle Physics. Comput. Softw. Big Sci. 8(1): 8 (2024) - Simon Waid, Jürgen Maier, Philipp Gaggl, Andreas Gsponer, Patrick Sieberer, Maximilian Babeluk, Thomas Bergauer:
Detector development for particle physics. Elektrotech. Informationstechnik 141(1): 20-28 (2024) - Jian Wang, Yulin Yang, Haiyang Liu, Lizhu Jiang:
Enhancing the college and university physical education teaching and learning experience using virtual reality and particle swarm optimization. Soft Comput. 28(2): 1277-1294 (2024) - Jan Kaiser, Chenran Xu, Annika Eichler, Andrea Santamaría Garcia:
Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations. CoRR abs/2401.05815 (2024) - Abhijith Gandrakota, Lily H. Zhang, Aahlad Manas Puli, Kyle Cranmer, Jennifer Ngadiuba, Rajesh Ranganath, Nhan Tran:
Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning. CoRR abs/2401.08777 (2024) - Lukas Heinrich, Tobias Golling, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine:
Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models. CoRR abs/2401.13537 (2024) - Zhixing Jiang, Dennis Yin, Elham E Khoda, Vladimir Loncar, Ekaterina Govorkova, Eric A. Moreno, Philip C. Harris, Scott Hauck, Shih-Chieh Hsu:
Ultra Fast Transformers on FPGAs for Particle Physics Experiments. CoRR abs/2402.01047 (2024) - Emanuel Pfeffer, Michael Waßmer, Yee-Ying Cung, Roger Wolf, Ulrich Husemann:
A case study of sending graph neural networks back to the test bench for applications in high-energy particle physics. CoRR abs/2402.17386 (2024) - Joschka Birk, Anna Hallin, Gregor Kasieczka:
OmniJet-α: The first cross-task foundation model for particle physics. CoRR abs/2403.05618 (2024) - Baran Hashemi:
Deep Generative Models for Ultra-High Granularity Particle Physics Detector Simulation: A Voyage From Emulation to Extrapolation. CoRR abs/2403.13825 (2024) - 2023
- Nicolas Gartner, Niels Montanari, Mathieu Richier, Vincent Hugel, Ramprasad Sampath:
Can smoothed particle hydrodynamics simulate physically realistic movements of underwater vehicles? Adv. Robotics 37(20): 1283-1300 (2023) - Jianquan Zhang, Xiao Xiao:
Soft fusion-based cooperative spectrum sensing using particle swarm optimization for cognitive radio networks in cyber-physical systems. Concurr. Comput. Pract. Exp. 35(13) (2023) - Jahanzeb Akhtar, Imran Ghous, Muhammad Jawad, Zhaoxia Duan, Ikramullah Khosa, Saim Ahmed:
A computationally efficient unscented Kalman smoother for ameliorated tracking of subatomic particles in high energy physics experiments. Comput. Phys. Commun. 283: 108585 (2023) - Moisés Arredondo-Velázquez, Lucio Fidel Rebolledo-Herrera, Benito de Celis Alonso, Eduardo Moreno-Barbosa:
Potential Use of State-of-the-Art TDCs for Particle Identification in Particle Physics Experiments. IEEE Instrum. Meas. Mag. 26(6): 13-20 (2023) - Alessio Alexiadis:
A minimalistic approach to physics-informed machine learning using neighbour lists as physics-optimized convolutions for inverse problems involving particle systems. J. Comput. Phys. 473: 111750 (2023) - Nathalie Soybelman, Nilotpal Kakati, Lukas Heinrich, Francesco Armando Di Bello, Etienne Dreyer, Sanmay Ganguly, Eilam Gross, Marumi Kado, Jonathan Shlomi:
Set-conditional set generation for particle physics. Mach. Learn. Sci. Technol. 4(4): 45036 (2023) - Fatma Çakiroglu, Rifat Kurban, Ali Durmus, Ercan Karakose:
Multi-focus image fusion by using swarm and physics based metaheuristic algorithms: a comparative study with archimedes, atomic orbital search, equilibrium, particle swarm, artificial bee colony and jellyfish search optimizers. Multim. Tools Appl. 82(29): 44859-44883 (2023) - Qinghai He, Haowen Zhang, Tianhua Li, Xiaojia Zhang, Xiaoli Li, Chunwang Dong:
NIR Spectral Inversion of Soil Physicochemical Properties in Tea Plantations under Different Particle Size States. Sensors 23(22): 9107 (2023) - Chao Yang, Ruihu Chen, Weida Wang, Ying Li, Xun Shen, Changle Xiang:
Cyber-Physical Optimization-Based Fuzzy Control Strategy for Plug-in Hybrid Electric Buses Using Iterative Modified Particle Swarm Optimization. IEEE Trans. Intell. Veh. 8(5): 3285-3298 (2023) - Sergi Bernet Andrés, Míriam Calvo Gómez, Álvaro García Piquer, Elisabet Golobardes-Ribé, Núria Valls Canudas, Xavier Vilasís-Cardona:
Machine Learning in Particle Physics Experiments: The Case of LHCb. CCIA 2023: 115-119 - Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, John A. Raine, Tobias Golling, François Fleuret:
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics. NeurIPS 2023 - Fady Bishara, Ayan Paul, Jennifer G. Dy:
High-precision regressors for particle physics. CoRR abs/2302.00753 (2023) - Matthew Leigh, Debajyoti Sengupta, Guillaume Quétant, John Andrew Raine, Knut Zoch, Tobias Golling:
PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics. CoRR abs/2303.05376 (2023) - Alexander Shmakov, Alejandro Yankelevich, Jianming Bian, Pierre Baldi:
Interpretable Joint Event-Particle Reconstruction for Neutrino Physics at NOvA with Sparse CNNs and Transformers. CoRR abs/2303.06201 (2023) - Lukas Ehrke, John Andrew Raine, Knut Zoch, Manuel Guth, Tobias Golling:
Topological Reconstruction of Particle Physics Processes using Graph Neural Networks. CoRR abs/2303.13937 (2023) - Zhichao Han, Olga Fink, David S. Kammer:
Collective Relational Inference for learning physics-consistent heterogeneous particle interactions. CoRR abs/2305.00557 (2023) - Steve Abel, Andrei Constantin, Thomas R. Harvey, André Lukas, Luca A. Nutricati:
Decoding Nature with Nature's Tools: Heterotic Line Bundle Models of Particle Physics with Genetic Algorithms and Quantum Annealing. CoRR abs/2306.03147 (2023) - Junn Yong Loo, Ze Yang Ding, Surya Girinatha Nurzaman, Chee-Ming Ting, Vishnu Monn Baskaran, Chee Pin Tan:
Unsupervised Cross-Domain Soft Sensor Modelling via Deep Physics-Inspired Particle Flow Bayes. CoRR abs/2306.04919 (2023)
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