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Daniel Whiteson
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2020 – today
- 2024
- [j2]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
Artificial Intelligence for the Electron Ion Collider (AI4EIC). Comput. Softw. Big Sci. 8(1): 5 (2024) - [i13]Alexander Shmakov, Kevin Greif, Michael James Fenton, Aishik Ghosh, Pierre Baldi, Daniel Whiteson:
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion. CoRR abs/2404.14332 (2024) - [i12]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 abs/2404.18807 (2024) - 2023
- [c4]Alexander Shmakov, Kevin Greif, Michael James Fenton, Aishik Ghosh, Pierre Baldi, Daniel Whiteson:
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics. NeurIPS 2023 - [i11]Alexander Shmakov, Kevin Greif, Michael James Fenton
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics. CoRR abs/2305.10399 (2023) - [i10]Junze Liu, Aishik Ghosh, Dylan Smith, Pierre Baldi, Daniel Whiteson:
Generalizing to new calorimeter geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation. CoRR abs/2305.11531 (2023) - [i9]C. Allaire, R. Ammendola, E.-C. Aschenauer, M. Balandat, Marco Battaglieri, J. C. Bernauer, M. Bondì, N. Branson, Thomas 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, M. Finger Jr., E. Fol, S. Furletov, Yuan Gao
Artificial Intelligence for the Electron Ion Collider (AI4EIC). CoRR abs/2307.08593 (2023) - [i8]Michael James Fenton, Alexander Shmakov, Hideki Okawa, Yuji Li, Ko-Yang Hsiao, Shih-Chieh Hsu, Daniel Whiteson, Pierre Baldi:
Extended Symmetry Preserving Attention Networks for LHC Analysis. CoRR abs/2309.01886 (2023) - 2022
- [i7]Phiala Shanahan, Kazuhiro Terao, Daniel Whiteson:
Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning. CoRR abs/2209.07559 (2022) - [i6]Jack H. Collins, Yifeng Huang, Simon Knapen, Benjamin Nachman, Daniel Whiteson:
Machine-Learning Compression for Particle Physics Discoveries. CoRR abs/2210.11489 (2022) - [i5]Junze Liu, Aishik Ghosh, Dylan Smith, Pierre Baldi, Daniel Whiteson:
Geometry-aware Autoregressive Models for Calorimeter Shower Simulations. CoRR abs/2212.08233 (2022) - 2021
- [i4]Alexander Shmakov, Michael James Fenton, Ta-Wei Ho, Shih-Chieh Hsu, Daniel Whiteson, Pierre Baldi:
SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention. CoRR abs/2106.03898 (2021) - 2020
- [i3]Michael James Fenton, Alexander Shmakov, Ta-Wei Ho, Shih-Chieh Hsu, Daniel Whiteson
Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks. CoRR abs/2010.09206 (2020)
2010 – 2019
- 2016
- [d3]Daniel Whiteson:
HEPMASS. UCI Machine Learning Repository, 2016 - [i2]Pierre Baldi, Kyle Cranmer
Parameterized Machine Learning for High-Energy Physics. CoRR abs/1601.07913 (2016) - 2014
- [c3]Peter J. Sadowski, Julian Collado, Daniel Whiteson, Pierre Baldi:
Deep Learning, Dark Knowledge, and Dark Matter. HEPML@NIPS 2014: 81-87 - [c2]Peter J. Sadowski, Daniel Whiteson, Pierre Baldi:
Searching for Higgs Boson Decay Modes with Deep Learning. NIPS 2014: 2393-2401 - [d2]Daniel Whiteson:
HIGGS. UCI Machine Learning Repository, 2014 - [d1]Daniel Whiteson:
SUSY. UCI Machine Learning Repository, 2014 - [i1]Pierre Baldi, Peter J. Sadowski, Daniel Whiteson:
Enhanced Higgs to $τ^+τ^-$ Searches with Deep Learning. CoRR abs/1410.3469 (2014)
2000 – 2009
- 2009
- [j1]Shimon Whiteson, Daniel Whiteson
Machine learning for event selection in high energy physics. Eng. Appl. Artif. Intell. 22(8): 1203-1217 (2009) - 2007
- [c1]Shimon Whiteson, Daniel Whiteson:
Stochastic Optimization for Collision Selection in High Energy Physics. AAAI 2007: 1819-1825
Coauthor Index
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last updated on 2024-10-16 21:21 CEST by the dblp team
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