Johann Brehmer
New York University
H-index: 21
North America-United States
Top articles of Johann Brehmer
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Back to the formula – LHC edition | SciPost Physics | Anja Butter Tilman Plehn Nathalie Soybelman Johann Brehmer | 2024/1/29 |
Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers | Pim De Haan Taco Cohen Johann Brehmer | 2023/11/8 | |
System and process for deconfounded imitation learning | 2024/4/11 | ||
EDGI: Equivariant diffusion for planning with embodied agents | NeurIPS 2023 | Johann Brehmer Joey Bose Pim De Haan Taco Cohen | 2023/3/22 |
Instance-adaptive video compression: Improving neural codecs by training on the test set | arXiv preprint arXiv:2111.10302 | Ties Van Rozendaal Johann Brehmer Yunfan Zhang Reza Pourreza Auke Wiggers | 2021/11/19 |
Instance-Adaptive Image and Video Compression in a Network Parameter Subspace Using Machine Learning Systems | 2023/3/9 | ||
Geometric Algebra Transformer | Advances in Neural Information Processing Systems | Johann Brehmer Pim De Haan Sönke Behrends Taco S Cohen | 2024/2/13 |
Simulation-based inference methods for particle physics | Johann Brehmer Kyle Cranmer | 2022 | |
Implicit image and video compression using machine learning systems | 2022/12/1 | ||
Weakly supervised causal representation learning | Johann Brehmer* Pim De Haan* Phillip Lippe Taco Cohen | 2022/3/30 | |
Deconfounded Imitation Learning | arXiv preprint arXiv:2211.02667 | Risto Vuorio Johann Brehmer Hanno Ackermann Daniel Dijkman Taco Cohen | 2022/11/4 |
Implicit neural video compression | arXiv preprint arXiv:2112.11312 | Yunfan Zhang Ties Van Rozendaal Johann Brehmer Markus Nagel Taco Cohen | 2021/12/21 |
Simulation intelligence: Towards a new generation of scientific methods | arXiv preprint arXiv:2112.03235 | Alexander Lavin David Krakauer Hector Zenil Justin Gottschlich Tim Mattson | 2021/12/6 |
Simulation-based inference in particle physics | Johann Brehmer | 2021/5 | |
Stronger symbolic summary statistics for the LHC | Nathalie Soybelman Anja Butter Tilman Plehn Johann Brehmer | 2021 | |
MadMiner: Machine learning-based inference for particle physics | Computing and Software for Big Science | Johann Brehmer Felix Kling Irina Espejo Kyle Cranmer | 2020/12 |
Hierarchical clustering in particle physics through reinforcement learning | arXiv preprint arXiv:2011.08191 | Johann Brehmer Sebastian Macaluso Duccio Pappadopulo Kyle Cranmer | 2020/11/16 |
Improving inference with matrix elements and machine learning | International Journal of Modern Physics A | Johann Brehmer Kyle Cranmer F Kling | 2020/6/10 |
Effective LHC measurements with matrix elements and machine learning | Journal of Physics: Conference Series | Johann Brehmer Kyle Cranmer Irina Espejo Felix Kling Gilles Louppe | 2020/4/1 |
The frontier of simulation-based inference | Proceedings of the National Academy of Sciences | Kyle Cranmer Johann Brehmer Gilles Louppe | 2020/12/1 |
Co-Authors
