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2020 – today
- 2024
[j2]John Andrew Raine
, Samuel Klein, Debajyoti Sengupta, Tobias Golling:
CURTAINs for your sliding window: Constructing unobserved regions by transforming adjacent intervals. Frontiers Big Data 6 (2024)- [j1]Tobias Golling, Lukas Heinrich, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine:
Masked particle modeling on sets: towards self-supervised high energy physics foundation models. Mach. Learn. Sci. Technol. 5(3): 35074 (2024) - [i19]Lukas Heinrich, Tobias Golling, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine:
Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models. CoRR abs/2401.13537 (2024) - [i18]Guillaume Quétant, John Andrew Raine, Matthew Leigh, Debajyoti Sengupta, Tobias Golling:
PIPPIN: Generating variable length full events from partons. CoRR abs/2406.13074 (2024) - [i17]Claudius Krause, Michele Faucci Giannelli, Gregor Kasieczka, Benjamin Nachman, Dalila Salamani, David Shih, Anna Zaborowska, Oz Amram, Kerstin Borras, Matthew R. Buckley, Erik Buhmann, Thorsten Buss, Renato Paulo Da Costa Cardoso, Anthony L. Caterini, Nadezda Chernyavskaya, Federico A. G. Corchia, Jesse C. Cresswell, Sascha Diefenbacher, Etienne Dreyer, Vijay Ekambaram, Engin Eren, Florian Ernst, Luigi Favaro, Matteo Franchini, Frank Gaede, Eilam Gross, Shih-Chieh Hsu, Kristina Jaruskova, Benno Käch, Jayant Kalagnanam, Raghav Kansal, Taewoo Kim, Dmitrii Kobylianskii, Anatolii Korol, William Korcari, Dirk Krücker, Katja Krüger, Marco Letizia, Shu Li, Qibin Liu, Xiulong Liu, Gabriel Loaiza-Ganem, Thandikire Madula, Peter McKeown, Isabell-A. Melzer-Pellmann, Vinicius Mikuni, Nam Nguyen, Ayodele Ore, Sofia Palacios Schweitzer, Ian Pang, Kevin Pedro, Tilman Plehn, Witold Pokorski, Huilin Qu, Piyush Raikwar, John A. Raine, Humberto Reyes-González, Lorenzo Rinaldi, Brendan Leigh Ross, Moritz A. W. Scham, Simon Schnake, Chase Shimmin, Eli Shlizerman, Nathalie Soybelman, Mudhakar Srivatsa, Kalliopi Tsolaki, Sofia Vallecorsa, Kyongmin Yeo, Rui Zhang:
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation. CoRR abs/2410.21611 (2024) - [i16]Malte Algren, Chris Pollard, John Andrew Raine, Tobias Golling:
Variational inference for pile-up removal at hadron colliders with diffusion models. CoRR abs/2410.22074 (2024) - 2023
- [c1]Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, John A. Raine, Tobias Golling, François Fleuret:
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics. NeurIPS 2023 - [i15]Matthew Leigh, Debajyoti Sengupta, Guillaume Quétant, John Andrew Raine, Knut Zoch, Tobias Golling:
PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics. CoRR abs/2303.05376 (2023) - [i14]Lukas Ehrke, John Andrew Raine, Knut Zoch, Manuel Guth, Tobias Golling:
Topological Reconstruction of Particle Physics Processes using Graph Neural Networks. CoRR abs/2303.13937 (2023) - [i13]Malte Algren, Tobias Golling, Manuel Guth, Chris Pollard, John Andrew Raine:
Flow Away your Differences: Conditional Normalizing Flows as an Improvement to Reweighting. CoRR abs/2304.14963 (2023) - [i12]Debajyoti Sengupta, Samuel Klein, John Andrew Raine, Tobias Golling:
CURTAINs Flows For Flows: Constructing Unobserved Regions with Maximum Likelihood Estimation. CoRR abs/2305.04646 (2023) - [i11]John Andrew Raine, Matthew Leigh, Knut Zoch, Tobias Golling:
ν2-Flows: Fast and improved neutrino reconstruction in multi-neutrino final states with conditional normalizing flows. CoRR abs/2307.02405 (2023) - [i10]Malte Algren, John Andrew Raine, Tobias Golling:
Decorrelation using Optimal Transport. CoRR abs/2307.05187 (2023) - [i9]Matthew Leigh, Debajyoti Sengupta, John Andrew Raine, Guillaume Quétant, Tobias Golling:
PC-Droid: Faster diffusion and improved quality for particle cloud generation. CoRR abs/2307.06836 (2023) - [i8]Ian Pang, John Andrew Raine, David Shih:
SuperCalo: Calorimeter shower super-resolution. CoRR abs/2308.11700 (2023) - [i7]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) - [i6]Erik Buhmann, Cedric Ewen, Darius A. Faroughy, Tobias Golling, Gregor Kasieczka, Matthew Leigh, Guillaume Quétant, John Andrew Raine, Debajyoti Sengupta, David Shih:
EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion. CoRR abs/2310.00049 (2023) - [i5]Debajyoti Sengupta, Matthew Leigh, John Andrew Raine, Samuel Klein, Tobias Golling:
Improving new physics searches with diffusion models for event observables and jet constituents. CoRR abs/2312.10130 (2023) - 2022
- [i4]Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, Sebastian Pina-Otey, John A. Raine, Tobias Golling, François Fleuret:
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics. CoRR abs/2202.05012 (2022) - [i3]Matthew Leigh, John Andrew Raine, Knut Zoch, Tobias Golling:
ν-Flows: Conditional Neutrino Regression. CoRR abs/2207.00664 (2022) - [i2]Samuel Klein, John Andrew Raine, Tobias Golling:
Flows for Flows: Training Normalizing Flows Between Arbitrary Distributions with Maximum Likelihood Estimation. CoRR abs/2211.02487 (2022) - 2021
- [i1]Samuel Klein, John A. Raine, Sebastian Pina-Otey, Slava Voloshynovskiy, Tobias Golling:
Funnels: Exact maximum likelihood with dimensionality reduction. CoRR abs/2112.08069 (2021)
Coauthor Index
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