001 Machine Learning-Based Reconstruction for Resistive Silicon Sensors arXiv Paper Alexander Aoki, Gaetano Barone et al. Jul 13 002 Self-Supervised Calibration of Scientific Instruments Using Physical Consistency Constraints arXiv Paper M. Rejmund, A. L. Ganil et al. Jun 28 003 Ultra-Peripheral Collisions as a Nuclear-Structure Interferometer with Interpretable Multitask Deep Learning arXiv Paper Jing-Zong Zhang, W. Zha et al. Jun 22 004 GPT-Based Fast Simulation of CLAS12 Detector Hits via Conditional Autoregressive Generation arXiv Paper Cole Granger, J. Giroux et al. Jun 14 005 Peak-Based Nuclide Identification in HPGe $γ$-Spectrometry with Machine Learning and SHAP arXiv Paper Samuel Emmons, K. Truax et al. Jun 12 006 Machine Learning methods for event classification and vertex reconstruction of the 12C + 12C reaction with the MATE-TPC arXiv Paper Minghui Zhang, Xiao-Bin Li et al. May 27 007 3D Magnetic Field Reconstruction and Mapping with Physics-Informed Neural Networks arXiv Paper Haohan Yu, Zhanxu Hao et al. May 25 008 Application of a Mixture of Experts-based Foundation Model to the GlueX DIRC Detector arXiv Paper C. Fanelli, J. Giroux et al. Apr 17 009 ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics arXiv Paper Zeyu Xia, Tyler Kim et al. Apr 1 010 Generalizable Foundation Models for Calorimetry via Mixtures-of-Experts and Parameter Efficient Fine Tuning arXiv Paper Carlos Cardona-Giraldo, C. Fanelli et al. Mar 27 011 SwinCCIR: An end-to-end deep network for Compton camera imaging reconstruction arXiv Paper Minghao Dong et al. Dec 28, 2025 012 Sparse Methods for Vector Embeddings of TPC Data arXiv Paper Tyler Wheeler et al. Nov 14, 2025 013 A Neural Network Approach to Multi-radionuclide TDCR Beta Spectroscopy arXiv Paper Li Yi, Qian Yang Sep 3, 2025 014 Transfer Learning for Neutrino Scattering: Domain Adaptation with GANs arXiv Paper J. L. Bonilla, K. Graczyk et al. Aug 18, 2025 015 The DNA of nuclear models: How AI predicts nuclear masses arXiv Paper Kate A. Richardson et al. Aug 11, 2025 016 Pulse Shape Discrimination Algorithms: Survey and Benchmark arXiv Paper Haoran Liu et al. Aug 3, 2025 017 Re-optimization of a deep neural network model for electron-carbon scattering using new experimental data arXiv Paper B. E. Kowal, K. Graczyk et al. Aug 1, 2025 018 Analysis of Atomic Charge State and Atomic Number for VAMOS++ Magnetic Spectrometer using Deep Neural Networks and Fractionally Labelled Events arXiv Paper M. Rejmund, A. Lemasson Jun 20, 2025 019 Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data arXiv Paper J. Giroux, C. Fanelli May 13, 2025 020 Data-driven Approach for Interpolation of Sparse Data arXiv Paper R. F. Ferguson et al. May 2, 2025 021 Generative Models for Fast Simulation of Cherenkov Detectors at the Electron-Ion Collider arXiv Paper J. Giroux, Michael Martinez et al. Apr 26, 2025 022 AI-Assisted Transport of Radioactive Ion Beams arXiv Paper Sergio Lopez-Caceres et al. Apr 8, 2025 023 Seven-dimensional Trajectory Reconstruction for VAMOS++ arXiv Paper M. Rejmund et al. Mar 19, 2025 024 Generative adversarial neural networks for simulating neutrino interactions arXiv Paper J. L. Bonilla, K. Graczyk et al. Feb 27, 2025 025 Unpaired Translation of Point Clouds for Modeling Detector Response arXiv Paper Mingyang Li et al. Jan 30, 2025 026 Intelligent experiments through real-time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX and future EIC detectors arXiv Paper J. Kvapil et al. Jan 8, 2025 027 Variable Rate Neural Compression for Sparse Detector Data arXiv Paper Yi Huang et al. Nov 18, 2024 028 AutoFLUKA: A Large Language Model Based Framework for Automating Monte Carlo Simulations in FLUKA arXiv Paper Z. Ndum, Jian Tao et al. Oct 19, 2024 029 Electron-nucleus cross sections from transfer learning arXiv Paper K. Graczyk, B. E. Kowal et al. Aug 19, 2024 030 Deep(er) Reconstruction of Imaging Cherenkov Detectors with Swin Transformers and Normalizing Flow Models arXiv Paper C. Fanelli, J. Giroux et al. Jul 10, 2024 031 Investigating Resource-efficient Neutron/Gamma Classification ML Models Targeting eFPGAs arXiv Paper Jyothisraj Johnson et al. Apr 19, 2024 032 Discovering Nuclear Models from Symbolic Machine Learning arXiv Paper Jose M. Munoz, S. Udrescu et al. Apr 17, 2024 033 Hydra: Computer Vision for Data Quality Monitoring arXiv Paper Thomas Britton, T. Jeske et al. Mar 1, 2024 034 Empirical fits to inclusive electron-carbon scattering data obtained by deep-learning methods arXiv Paper B. E. Kowal, K. Graczyk et al. Dec 28, 2023 035 Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data arXiv Paper Yi Huang, Y. Ren et al. Oct 23, 2023 036 ELUQuant: Event-Level Uncertainty Quantification in Deep Inelastic Scattering arXiv Paper C. Fanelli, James Giroux Oct 4, 2023 037 The Optimal use of Segmentation for Sampling Calorimeters arXiv Paper Fernando Torales Acosta et al. Oct 2, 2023 038 Majorana Demonstrator Data Release for AI/ML Applications arXiv Paper I. J. Arnquist et al. Aug 21, 2023 039 Artificial Intelligence for the Electron Ion Collider (AI4EIC) arXiv Paper C. Allaire, R. Ammendola et al. Jul 17, 2023 040 Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation arXiv Paper Fernando Torales Acosta et al. Jul 10, 2023 041 NuCLR: Nuclear Co-Learned Representations arXiv Paper Ouail Kitouni et al. Jun 9, 2023 042 Pulse shape discrimination based on the Tempotron: a powerful classifier on GPU arXiv Paper Haoran Liu, Peng Li et al. May 26, 2023 043 Precision Spectroscopy of Fast, Hot Exotic Isotopes Using Machine Learning Assisted Event-by-Event Doppler Correction arXiv Paper S. Udrescu, D. A. Torres et al. Apr 25, 2023 044 Restoring Original Signal From Pile-up Signal using Deep Learning arXiv Paper C. H. Kim, S. Ahn et al. Apr 24, 2023 045 Interpretable Boosted Decision Tree Analysis for the Majorana Demonstrator arXiv Paper I. Arnquist, F. Avignone et al. Jul 21, 2022 046 Two-dimensional total absorption spectroscopy with conditional generative adversarial networks arXiv Paper Cade Dembski, M. Kuchera et al. Jun 23, 2022 047 AI-assisted Optimization of the ECCE Tracking System at the Electron Ion Collider arXiv Paper C. Fanelli et al. May 18, 2022 048 "Flux+Mutability": A Conditional Generative Approach to One-Class Classification and Anomaly Detection arXiv Paper C. Fanelli, James Giroux et al. Apr 19, 2022 049 Artificial Intelligence for Imaging Cherenkov Detectors at the EIC arXiv Paper C. Fanelli, A. Mahmood Apr 19, 2022 050 Using Machine Learning for Particle Identification in ALICE arXiv Paper Ł. Graczykowski, M. Jakubowska et al. Apr 14, 2022 051 Machine learning based event classification for the energy-differential measurement of the $^\text{nat}$C(n,p) and $^\text{nat}$C(n,d) reactions arXiv Paper P. Žugec, M. Barbagallo et al. Apr 11, 2022 052 Digital Signal Analysis based on Convolutional Neural Networks for Active Target Time Projection Chambers arXiv Paper G. Fortino, J. Zamora et al. Feb 14, 2022 053 Machine Learning in Nuclear Physics arXiv Paper A. Boehnlein, M. Diefenthaler et al. Dec 4, 2021 054 A survey of machine learning-based physics event generation arXiv Paper Yasir Alanazi, Nobuo Sato et al. Jun 1, 2021 055 Unsupervised Learning for Identifying Events in Active Target Experiments arXiv Paper R. Solli, D. Bazin et al. Aug 6, 2020 056 Classification of Equation of State in Relativistic Heavy-Ion Collisions Using Deep Learning arXiv Paper Yu. Kvasiuk, E. Zabrodin et al. Apr 29, 2020 057 Efficient Machine Learning Approach for Optimizing the Timing Resolution of a High Purity Germanium Detector arXiv Paper R. Gladen, V. Chirayath et al. Mar 31, 2020 058 Trees and Forests in Nuclear Physics arXiv Paper Marco Carnini et al. Feb 24, 2020 059 Quantified limits of the nuclear landscape arXiv Paper Léo Neufcourt et al. Jan 16, 2020 060 DeepRICH: Learning Deeply Cherenkov Detectors arXiv Paper C. Fanelli, Jary Pomponi Nov 26, 2019