Benjamin Nachman
- A Living Review of Machine Learning for Particle Physics
2021/02/02 by M. Feickert, Feickert, Matthew, Benjamin Nachman +1 · 16 citations
Computer Science · Engineering · Physics and Astronomy · #Computational Physics and Python Applications #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Nuclear reactor physics and engineering #Particle physics theoretical and experimental studies #Statistics and Probability (physics.data-an)
- Solving Key Challenges in Collider Physics with Foundation Models
2024/04/24 by V. M. Mikuni, Benjamin Nachman, Mikuni, Vinicius +1 · 11 citations
Computer Science · Decision Sciences · #Computational Physics and Python Applications #Big Data Technologies and Applications #Opportunistic and Delay-Tolerant Networks
- Improving Generative Model-based Unfolding with Schrödinger Bridges
2023/08/23 by Sascha Diefenbacher, Diefenbacher, Sascha, Guan-Horng Liu +7 · 6 citations
Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Computational Physics and Python Applications
- Measurement of lepton-jet correlation in deep-inelastic scattering with the H1 detector using machine learning for unfolding
2021/08/27 by H Collaboration, H1 Collaboration, V. Andreev +238 · 3 citations
Physics and Astronomy · #Particle physics theoretical and experimental studies #Quantum Chromodynamics and Particle Interactions #High-Energy Particle Collisions Research
- Refining Fast Calorimeter Simulations with a Schrödinger Bridge
2023/08/23 by Sascha Diefenbacher, V. M. Mikuni, Diefenbacher, Sascha +3 · 4 citations
Computer Science · Materials Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Detectors (physics.ins-det) #Machine Learning in Materials Science #Model Reduction and Neural Networks
- Statistical Patterns of Theory Uncertainties
2022/10/27 by A. Ghosh, Ghosh, Aishik, Benjamin Nachman +9 · 3 citations
Physics and Astronomy · #Particle physics theoretical and experimental studies #Particle Detector Development and Performance #High-Energy Particle Collisions Research
- Quantum Information Science and Technology for Nuclear Physics. Input into U.S. Long-Range Planning, 2023
2023/02/28 by D. Beck, J. Carlson, Beck, Douglas +198 · 3 citations
Computer Science · Decision Sciences · #Big Data Technologies and Applications #Data Quality and Management #FOS: Physical sciences #Nuclear Experiment (nucl-ex) #Nuclear Theory (nucl-th) #Quantum Physics (quant-ph) #Research Data Management Practices
- Machine Learning-Assisted Measurement of Lepton-Jet Azimuthal Angular Asymmetries in Deep-Inelastic Scattering at HERA
2024/12/18 by The H1 Collaboration, V. Andreev, M. Arratia +221 · 3 citations
Physics and Astronomy · Computer Science · #Particle physics theoretical and experimental studies #Computational Physics and Python Applications #High-Energy Particle Collisions Research
- FAIR Universe HiggsML Uncertainty Dataset and Competition
2024/10/03 by W. Bhimji, Benato, Lisa, Bhimji, Wahid +44 · 4 citations
Business, Management and Accounting · Computer Science · Decision Sciences · #Big Data and Business Intelligence #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Research Data Management Practices #Scientific Computing and Data Management #Statistics and Probability (physics.data-an)
- The Road Ahead for CODEX-b
2022/03/14 by G. Aielli, J. Alimena, Aielli, Giulio +64 · 1 citation
Physics and Astronomy · #Particle physics theoretical and experimental studies #Particle Detector Development and Performance #Radiation Detection and Scintillator Technologies
- Design of a SiPM-on-Tile ZDC for the future EIC and its Performance with Graph Neural Networks
2024/05/11 by Ryan Milton, Milton, Ryan, Sebouh J. Paul +13 · 2 citations
Engineering · Materials Science · #Conducting polymers and applications #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Instrumentation and Detectors (physics.ins-det) #Nuclear Experiment (nucl-ex) #Organic Electronics and Photovoltaics #Thin-Film Transistor Technologies
- Integrating Particle Flavor into Deep Learning Models for Hadronization
2023/12/13 by J. Chan, X. Ju, Chan, Jay +9 · 1 citation
Decision Sciences · Physics and Astronomy · Computer Science · #Scientific Computing and Data Management #Particle physics theoretical and experimental studies #Advanced Data Storage Technologies
- Stay Positive: Neural Refinement of Sample Weights
2025/05/06 by Benjamin Nachman, D. Noll, Nachman, Benjamin +1 · 2 citations
Computer Science · #Neural Networks and Applications
- The Well-Tempered Likelihood: Honest Confidence Intervals for Misspecified Models
2026/07/22 by Benjamin Nachman, Jesse Thaler · 1 voice
#stat.ME #hep-ex #hep-ph #physics.data-an
- Towards anomaly detection searches for new physics signatures including Higgs bosons with weakly supervised machine learning
2026/07/21 by Chi Lung Cheng, Julia Gonski, Runze Li +5
#hep-ex #hep-ph
- Predict before you train: Scaling Laws for particle physics foundation models
2026/07/25 by Jan-Lucas Uslu, Benjamin Nachman, Christopher Re
Computer Science · Physics and Astronomy · #cs.AI #hep-ex