12
Publications
422
Citations
11
H-Index
2021
Active since
Theo Heimel is an author at Heidelberg University specializing in computer science, engineering, and machine learning.
Top concepts
EngineeringComputer ScienceMachine LearningData ScienceParticle PhysicsDeep LearningArtificial IntelligenceComputational ScienceGenerative ModelsNumerical Analysis
Publications per year
2021–2025
12
12
Machine learning and LHC event generation
Anja Butter, Tilman Plehn, S. Schumann et al. · SciPost Physics · 2023 · 99 citations · Full text
Generative networks for precision enthusiasts
Anja Butter, Theo Heimel, Sander Hummerich et al. · SciPost Physics · 2023 · 69 citations · Full text
Artificial Intelligence, Precision Enthusiasts, Engineering +12
Two invertible networks for the matrix element method
Anja Butter, Theo Heimel, Till Martini et al. · SciPost Physics · 2023 · 40 citations · Full text
Mathematical Programming, Numerical Analysis, Collider Physic +16
How to understand limitations of generative networks
Ranit Das, Luigi Favaro, Theo Heimel et al. · SciPost Physics · 2024 · 39 citations · Full text
Artificial Intelligence, Distribution-shifted Jets, Engineering +15
MadNIS - Neural multi-channel importance sampling
Theo Heimel, Ramon Winterhalder, Anja Butter et al. · SciPost Physics · 2023 · 35 citations · Full text
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