Benjamin Nachman

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 29

Top Topics

Anomaly Detection

Maximum Likelihood Estimation

Top Venues

Comput. Softw. Big Sci.

IEEE Trans. Inf. Theory

Publications

Nathan Huetsch, Javier Mariño Villadamigo, Alexander Shmakov, Sascha Diefenbacher, Vinicius Mikuni, Theo Heimel, Michael James Fenton, Kevin Greif, Benjamin Nachman, Daniel Whiteson, Anja Butter, Tilman Plehn
The Landscape of Unfolding with Machine Learning. CoRR (2024)
C. Allaire, R. Ammendola, E.-C. Aschenauer, M. Balandat, Marco Battaglieri, J. C. Bernauer, M. Bondì, N. Branson, T. Britton, Anja Butter, I. Chahrour, P. Chatagnon, Evaristo Cisbani, E. W. Cline, S. Dash, C. T. Dean, W. Deconinck, A. Deshpande, Markus Diefenthaler, R. Ent, Cristiano Fanelli, M. Finger, E. Fol, S. Furletov, Y. Gao, James Giroux, N. C. Gunawardhana Waduge, O. Hassan, P. L. Hegde, Roger José Hernández-Pinto, Astrid N. Hiller Blin, Tanja Horn, J. Huang, A. Jalotra, D. Jayakodige, B. Joo, M. Junaid, N. Kalantarians, Piyush Karande, B. Kriesten, R. Kunnawalkam Elayavalli, Y. Li, M. Lin, Frank Liu, S. Liuti, G. Matousek, Matthew McEneaney, Diana McSpadden, T. Menzo, T. Miceli, Vinicius Mikuni, R. Montgomery, Benjamin Nachman, R. R. Nair, J. Niestroy, S. A. Ochoa Oregon, J. Oleniacz, J. D. Osborn, C. Paudel, C. Pecar, C. Peng, Gabriel N. Perdue, W. Phelps, M. L. Purschke, H. Rajendran, K. Rajput, Y. Ren, David Francisco Rentería-Estrada, D. Richford, B. J. Roy, D. Roy, A. Saini, Nobuo Sato, T. Satogata, German Sborlini, Malachi Schram, D. Shih, J. Singh, R. Singh, A. Siodmok, J. Stevens, P. Stone, L. Suarez, K. Suresh, A.-N. Tawfik, Fernando Torales Acosta, N. Tran, R. Trotta, F. J. Twagirayezu, R. Tyson, S. Volkova, Anselm Vossen, Eric Walter, Daniel Whiteson, Michael Williams, S. Wu, N. Zachariou, P. Zurita
Artificial Intelligence for the Electron Ion Collider (AI4EIC). Comput. Softw. Big Sci. 8 (1) (2024)
Fernando Torales Acosta, Vinicius Mikuni, Benjamin Nachman, Miguel Arratia, Bishnu Karki, Ryan Milton, Piyush Karande, Aaron Angerami
Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation. CoRR (2023)
Vinicius Mikuni, Benjamin Nachman
High-dimensional and Permutation Invariant Anomaly Detection. CoRR (2023)
Tobias Golling, Samuel Klein, Radha Mastandrea, Benjamin Nachman, John Andrew Raine
Flows for Flows: Morphing one Dataset into another with Maximum Likelihood Estimation. CoRR (2023)
C. Allaire, R. Ammendola, E.-C. Aschenauer, M. Balandat, Marco Battaglieri, J. C. Bernauer, M. Bondì, N. Branson, Thomas Britton, A. Butter, I. Chahrour, P. Chatagnon, Evaristo Cisbani, E. W. Cline, S. Dash, C. T. Dean, W. Deconinck, A. Deshpande, Markus Diefenthaler, R. Ent, Cristiano Fanelli, M. Finger, M. Finger Jr., E. Fol, S. Furletov, Y. Gao, J. Giroux, N. C. Gunawardhana Waduge, R. Harish, O. Hassan, P. L. Hegde, Roger José Hernández-Pinto, Astrid N. Hiller Blin, Tanja Horn, J. Huang, D. Jayakodige, B. Joo, M. Junaid, Piyush Karande, B. Kriesten, R. Kunnawalkam Elayavalli, M. Lin, Frank Liu, S. Liuti, G. Matousek, M. McEneaney, Diana McSpadden, T. Menzo, T. Miceli, Vinicius Mikuni, R. Montgomery, Benjamin Nachman, R. R. Nair, J. Niestroy, S. A. Ochoa Oregon, J. Oleniacz, J. D. Osborn, C. Paudel, C. Pecar, C. Peng, Gabriel N. Perdue, W. Phelps, M. L. Purschke, K. Rajput, Y. Ren, David Francisco Rentería-Estrada, D. Richford, B. J. Roy, D. Roy, N. Sato, T. Satogata, German Sborlini, Malachi Schram, D. Shih, J. Singh, R. Singh, A. Siodmok, P. Stone, J. Stevens, L. Suarez, K. Suresh, A.-N. Tawfik, Fernando Torales Acosta, N. Tran, R. Trotta, F. J. Twagirayezu, R. Tyson, S. Volkova, A. Vossen, E. Walter, Daniel Whiteson, Michael Williams, S. Wu, N. Zachariou, P. Zurita
Artificial Intelligence for the Electron Ion Collider (AI4EIC). CoRR (2023)
Mariel Pettee, Sowmya Thanvantri, Benjamin Nachman, David Shih, Matthew R. Buckley, Jack H. Collins
Weakly-Supervised Anomaly Detection in the Milky Way. CoRR (2023)
Sascha Diefenbacher, Guan-Horng Liu, Vinicius Mikuni, Benjamin Nachman, Weili Nie
Improving Generative Model-based Unfolding with Schrödinger Bridges. CoRR (2023)
Fernando Torales Acosta, Bishnu Karki, Piyush Karande, Aaron Angerami, Miguel Arratia, Kenneth Barish, Ryan Milton, Sebastián Morán, Benjamin Nachman, Anshuman Sinha
The Optimal use of Segmentation for Sampling Calorimeters. CoRR (2023)
Owen Long, Benjamin Nachman
Designing Observables for Measurements with Deep Learning. CoRR (2023)
Andreas Adelmann, Walter Hopkins, Evangelos Kourlitis, Michael Kagan, Gregor Kasieczka, Claudius Krause, David Shih, Vinicius Mikuni, Benjamin Nachman, Kevin Pedro, Daniel Winklehner
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation. CoRR (2022)
Wonho Jang, Koji Terashi, Masahiko Saito, Christian W. Bauer, Benjamin Nachman, Yutaro Iiyama, Ryunosuke Okubo, Ryu Sawada
Initial-State Dependent Optimization of Controlled Gate Operations with Quantum Computer. Quantum 6 (2022)
Kingman Cheung, Yi-Lun Chung, Shih-Chieh Hsu, Benjamin Nachman
Exploring the Universality of Hadronic Jet Classification. CoRR (2022)
Benjamin Nachman
When, Where, and How to Open Data: a Personal Perspective. Comput. Softw. Big Sci. 6 (1) (2022)
Vinicius Mikuni, Benjamin Nachman
Score-based Generative Models for Calorimeter Shower Simulation. CoRR (2022)
Mayee F. Chen, Benjamin Nachman, Frederic Sala
Resonant Anomaly Detection with Multiple Reference Datasets. CoRR (2022)
Jack H. Collins, Yifeng Huang, Simon Knapen, Benjamin Nachman, Daniel Whiteson
Machine-Learning Compression for Particle Physics Discoveries. CoRR (2022)
Aishik Ghosh, Benjamin Nachman
A Cautionary Tale of Decorrelating Theory Uncertainties. CoRR (2021)
Matthew Feickert, Benjamin Nachman
A Living Review of Machine Learning for Particle Physics. CoRR (2021)
Luca Pion-Tonachini, Kristofer E. Bouchard, Héctor García Martín, Sean Peisert, W. Bradley Holtz, Anil Aswani, Dipankar Dwivedi, Haruko M. Wainwright, Ghanshyam Pilania, Benjamin Nachman, Babetta L. Marrone, Nicola Falco, Prabhat, Daniel B. Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus H. Zwart, Neeraj Kumar, Amy Justice, Claire J. Tomlin, Daniel A. Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Kenneth Kreutz-Delgado, Michael W. Mahoney, James B. Brown
Learning from learning machines: a new generation of AI technology to meet the needs of science. CoRR (2021)
Anders Andreassen, Patrick T. Komiske, Eric M. Metodiev, Benjamin Nachman, Adi Suresh, Jesse Thaler
Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution. CoRR (2021)
Vinicius Mikuni, Benjamin Nachman, David Shih
Online-compatible Unsupervised Non-resonant Anomaly Detection. CoRR (2021)
Ramon Winterhalder, Marco Bellagente, Benjamin Nachman
Latent Space Refinement for Deep Generative Models. CoRR (2021)
Gregor Kasieczka, Benjamin Nachman, David Shih
New Methods and Datasets for Group Anomaly Detection From Fundamental Physics. CoRR (2021)
Benjamin Nachman, Chase Shimmin
AI Safety for High Energy Physics. CoRR (2019)
Michela Paganini, Luke de Oliveira, Benjamin Nachman
CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks. CoRR (2017)
Luke de Oliveira, Michela Paganini, Benjamin Nachman
Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis. Comput. Softw. Big Sci. 1 (1) (2017)
Luke de Oliveira, Michela Paganini, Benjamin Nachman
Controlling Physical Attributes in GAN-Accelerated Simulation of Electromagnetic Calorimeters. CoRR (2017)
Hyeji Kim, Benjamin Nachman, Abbas El Gamal
Superposition Coding Is Almost Always Optimal for the Poisson Broadcast Channel. IEEE Trans. Inf. Theory 62 (4) (2016)
Hyeji Kim, Benjamin Nachman, Abbas El Gamal
Superposition Coding is Almost Always Optimal for the Poisson Broadcast Channel. CoRR (2015)
Hyeji Kim, Benjamin Nachman, Abbas El Gamal
Superposition coding is almost always optimal for the Poisson broadcast channel. ISIT (2015)