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2020 – today
- 2024
[j1]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)- [i17]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) - [i16]Guillaume Quétant, John Andrew Raine, Matthew Leigh, Debajyoti Sengupta, Tobias Golling:
PIPPIN: Generating variable length full events from partons. CoRR abs/2406.13074 (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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