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2020 – today
- 2023
[i22]Mariel Pettee, Sowmya Thanvantri, Benjamin Nachman, David Shih, Matthew R. Buckley, Jack H. Collins:
Weakly-Supervised Anomaly Detection in the Milky Way. CoRR abs/2305.03761 (2023)- [i21]Vinicius Mikuni, Benjamin Nachman:
High-dimensional and Permutation Invariant Anomaly Detection. CoRR abs/2306.03933 (2023) - [i20]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 abs/2307.04780 (2023) - [i19]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 abs/2307.08593 (2023) - [i18]Sascha Diefenbacher, Guan-Horng Liu, Vinicius Mikuni, Benjamin Nachman, Weili Nie:
Improving Generative Model-based Unfolding with Schrödinger Bridges. CoRR abs/2308.12351 (2023) - [i17]Tobias Golling, Samuel Klein, Radha Mastandrea, Benjamin Nachman, John Andrew Raine:
Flows for Flows: Morphing one Dataset into another with Maximum Likelihood Estimation. CoRR abs/2309.06472 (2023) - 2022
- [j2]Benjamin Nachman:
When, Where, and How to Open Data: a Personal Perspective. Comput. Softw. Big Sci. 6(1): 17 (2022) - [i16]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 abs/2203.08806 (2022) - [i15]Kingman Cheung, Yi-Lun Chung, Shih-Chieh Hsu, Benjamin Nachman:
Exploring the Universality of Hadronic Jet Classification. CoRR abs/2204.03812 (2022) - [i14]Vinicius Mikuni, Benjamin Nachman:
Score-based Generative Models for Calorimeter Shower Simulation. CoRR abs/2206.11898 (2022) - [i13]Jack H. Collins, Yifeng Huang, Simon Knapen, Benjamin Nachman, Daniel Whiteson:
Machine-Learning Compression for Particle Physics Discoveries. CoRR abs/2210.11489 (2022) - [i12]Mayee F. Chen, Benjamin Nachman, Frederic Sala:
Resonant Anomaly Detection with Multiple Reference Datasets. CoRR abs/2212.10579 (2022) - 2021
- [i11]Matthew Feickert
, Benjamin Nachman:
A Living Review of Machine Learning for Particle Physics. CoRR abs/2102.02770 (2021) - [i10]Anders Andreassen, Patrick T. Komiske, Eric M. Metodiev, Benjamin Nachman, Adi Suresh, Jesse Thaler:
Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution. CoRR abs/2105.04448 (2021) - [i9]Ramon Winterhalder, Marco Bellagente, Benjamin Nachman:
Latent Space Refinement for Deep Generative Models. CoRR abs/2106.00792 (2021) - [i8]Gregor Kasieczka, Benjamin Nachman, David Shih:
New Methods and Datasets for Group Anomaly Detection From Fundamental Physics. CoRR abs/2107.02821 (2021) - [i7]Aishik Ghosh, Benjamin Nachman:
A Cautionary Tale of Decorrelating Theory Uncertainties. CoRR abs/2109.08159 (2021) - [i6]Vinicius Mikuni, Benjamin Nachman, David Shih:
Online-compatible Unsupervised Non-resonant Anomaly Detection. CoRR abs/2111.06417 (2021) - [i5]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 abs/2111.13786 (2021)
2010 – 2019
- 2019
- [i4]Benjamin Nachman, Chase Shimmin:
AI Safety for High Energy Physics. CoRR abs/1910.08606 (2019) - 2017
- [i3]Luke de Oliveira, Michela Paganini, Benjamin Nachman:
Controlling Physical Attributes in GAN-Accelerated Simulation of Electromagnetic Calorimeters. CoRR abs/1711.08813 (2017) - [i2]Michela Paganini, Luke de Oliveira, Benjamin Nachman:
CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks. CoRR abs/1712.10321 (2017) - 2016
- [j1]Hyeji Kim, Benjamin Nachman, Abbas El Gamal:
Superposition Coding Is Almost Always Optimal for the Poisson Broadcast Channel. IEEE Trans. Inf. Theory 62(4): 1782-1794 (2016) - 2015
- [c1]Hyeji Kim, Benjamin Nachman, Abbas El Gamal:
Superposition coding is almost always optimal for the Poisson broadcast channel. ISIT 2015: 834-838 - [i1]Hyeji Kim, Benjamin Nachman, Abbas El Gamal:
Superposition Coding is Almost Always Optimal for the Poisson Broadcast Channel. CoRR abs/1508.04228 (2015)
Coauthor Index
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last updated on 2023-09-21 22:57 CEST by the dblp team
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