Johann Brehmer

York College, City University of New York — United States

Physics and Astronomy · Physical Sciences

19h-index1.4kcitations54works6.72yr avg
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Research Topics

Particle physics theoretical and experimental studies(27), High-Energy Particle Collisions Research(15), Particle Detector Development and Performance(11), Computational Physics and Python Applications(9), Quantum Chromodynamics and Particle Interactions(5)

Publications54 total

A Lorentz-equivariant transformer for all of the LHC
SciPost Physics·2025· 6 citedOpen Access
A Lorentz-Equivariant Transformer for All of the LHC
arXiv (Cornell University)·2024· 9 citedOpen Access
Does equivariance matter at scale?
arXiv (Cornell University)·2024Open Access
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
arXiv (Cornell University)·2024· 11 citedOpen Access
Back to the formula - LHC edition
SciPost Physics·2024· 13 citedOpen Access
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
2024· 1 cited
FoMo Rewards: Can we cast foundation models as reward functions?
arXiv (Cornell University)·2023· 1 citedOpen Access
Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers
arXiv (Cornell University)·2023· 1 citedOpen Access
Benchmarking simplified template cross sections in <em>W H</em> production
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2023· 48 citedOpen Access
Geometric Algebra Transformer
arXiv (Cornell University)·2023· 9 citedOpen Access
EDGI: Equivariant Diffusion for Planning with Embodied Agents
arXiv (Cornell University)·2023· 4 citedOpen Access
Deconfounding Imitation Learning with Variational Inference
arXiv (Cornell University)·2022· 2 citedOpen Access
Weakly supervised causal representation learning
arXiv (Cornell University)·2022· 13 citedOpen Access
Report on 2109.10414v2
2022Open Access
Simulation-Based Inference Methods for Particle Physics
WORLD SCIENTIFIC eBooks·2022· 2 citedOpen Access
Implicit Neural Video Compression
arXiv (Cornell University)·2021· 26 citedOpen Access
Simulation Intelligence: Towards a New Generation of Scientific Methods
arXiv (Cornell University)·2021· 69 citedOpen Access
Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set
arXiv (Cornell University)·2021· 10 citedOpen Access
Instance-Adaptive Video Compression: Improving Neural Codecs by Training\n on the Test Set
arXiv (Cornell University)·2021· 12 citedOpen Access
Back to the Formula -- LHC Edition
arXiv (Cornell University)·2021· 8 citedOpen Access
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Frequent Co-authors

K. Cranmer(17), Tilman Plehn(11), Gilles Louppe(10), Pim de Haan(10), Taco Cohen(9), Juan Pavez(7), Felix Kling(7), Joachim Kopp(6), JoAnne L. Hewett(5), Thomas G. Rizzo(5), Jamie Tattersall(5), G. Brooijmans(4), A. Delgado(4), Giacomo Cacciapaglia(4), Adrián Carmona(4), R. Sekhar Chivukula(4), Andrey Katz(4), Kenneth Lane(4), Kirtimaan A. Mohan(4), José Miguel No(4)