TH

Theo Heimel

0000-0002-3533-4591

hep-phhep-excs.LGphysics.comp-phastro-ph.COastro-ph.GAstat.ML

On Valency

published · living versions

QCD or What?

with Gregor Kasieczka, Tilman Plehn, Jennifer M Thompson

1 version

W_y43xhqsqv1 · current

Preprints & journals

18 papers in the corpus · 2018–2026

MadNIS, Ready for Production at LO

Theo Heimel, Olivier Mattelaer, Daniele Massaro et al.

0 citations

2610.17177v12026arXiv

Neural Control Variates at LO and NLO

Theo Heimel, Tilman Plehn, Rebecca Revelli et al.

0 citations

2607.23591v22026arXiv

An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning

Maximilian Dax, Theo Heimel, Gilles Louppe

0 citations

2607.21702v22026arXiv

MadSpace -- Event Generation for the Era of GPUs and ML

Theo Heimel, Olivier Mattelaer, Ramon Winterhalder

0 citations

2602.06895v32026arXiv

Simulation-Prior Independent Neural Unfolding Procedure

Anja Butter, Theo Heimel, Nathan Huetsch et al.

0 citations

2507.15084v12025arXiv

Profile Likelihoods on ML-Steroids

Theo Heimel, Tilman Plehn, Nikita Schmal

1 citation

2411.00942v22024arXiv

Differentiable MadNIS-Lite

Theo Heimel, Olivier Mattelaer, Tilman Plehn et al.

14 citations

2408.01486v22024SciPost Phys. 18, 017 (2025)

The Landscape of Unfolding with Machine Learning

Nathan Huetsch, Javier Marino Villadamigo, Alexander Shmakov et al.

24 citations

2404.18807v22024SciPost Phys. 18, 070 (2025)

The MadNIS Reloaded

Theo Heimel, Nathan Huetsch, Fabio Maltoni et al.

31 citations

2311.01548v32023SciPost Phys. 17, 023 (2024)

Precision-Machine Learning for the Matrix Element Method

Theo Heimel, Nathan Huetsch, Ramon Winterhalder et al.

22 citations

2310.07752v32023SciPost Phys. 17, 129 (2024)

Returning CP-Observables to The Frames They Belong

Jona Ackerschott, Rahool Kumar Barman, Dorival Goncalves et al.

26 citations

2308.00027v12023SciPost Phys. 17, 001 (2024)

How to Understand Limitations of Generative Networks

Ranit Das, Luigi Favaro, Theo Heimel et al.

42 citations

2305.16774v22023SciPost Phys. 16, 031 (2024)

MadNIS -- Neural Multi-Channel Importance Sampling

Theo Heimel, Ramon Winterhalder, Anja Butter et al.

49 citations

2212.06172v22022SciPost Phys. 15, 141 (2023)

Two Invertible Networks for the Matrix Element Method

Anja Butter, Theo Heimel, Till Martini et al.

40 citations

2210.00019v52022SciPost Phys. 15, 094 (2023)

Machine Learning and LHC Event Generation

Anja Butter (ed), Tilman Plehn (ed), Steffen Schumann (ed) et al.

115 citations

2203.07460v22022SciPost Phys. 14, 079 (2023)

Generative Networks for Precision Enthusiasts

Anja Butter, Theo Heimel, Sander Hummerich et al.

86 citations

2110.13632v32021SciPost Phys. 14, 078 (2023)

Measuring QCD Splittings with Invertible Networks

Sebastian Bieringer, Anja Butter, Theo Heimel et al.

64 citations

2012.09873v22020SciPost Phys. 10, 126 (2021)

QCD or What?

Theo Heimel, Gregor Kasieczka, Tilman Plehn et al.

238 citations

1808.08979v32018SciPost Phys. 6, 030 (2019)

Career total: 42 works. 18 are in this corpus.

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