Brehmer, Johann

20 publications

ICLR 2025 Differentiable and Learnable Wireless Simulation with Geometric Transformers Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer

TMLR 2025 Does Equivariance Matter at Scale? Johann Brehmer, Sönke Behrends, Pim De Haan, Taco Cohen

TMLR 2024 Deconfounding Imitation Learning with Variational Inference Risto Vuorio, Pim De Haan, Johann Brehmer, Hanno Ackermann, Daniel Dijkman, Taco Cohen

ICMLW 2024 Differentiable Wireless Simulation with Geometric Transformers Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer

NeurIPSW 2024 Does Equivariance Matter at Scale? Johann Brehmer, Sönke Behrends, Pim De Haan, Taco Cohen

AISTATS 2024 Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers Pim Haan, Taco Cohen, Johann Brehmer

ICMLW 2024 Geometric Wireless Simulation with Equivariant Transformers Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer

NeurIPS 2024 Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics Jonas Spinner, Victor Bresó, Pim de Haan, Tilman Plehn, Jesse Thaler, Johann Brehmer

NeurIPS 2023 EDGI: Equivariant Diffusion for Planning with Embodied Agents Johann Brehmer, Joey Bose, Pim de Haan, Taco S Cohen

ICLRW 2023 EDGI: Equivariant Diffusion for Planning with Embodied Agents Johann Brehmer, Joey Bose, Pim De Haan, Taco Cohen

NeurIPSW 2023 Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers Pim De Haan, Taco Cohen, Johann Brehmer

NeurIPSW 2023 FoMo Rewards: Can We Cast Foundation Models as Reward Functions? Ekdeep Singh Lubana, Johann Brehmer, Pim De Haan, Taco Cohen

NeurIPS 2023 Geometric Algebra Transformer Johann Brehmer, Pim de Haan, Sönke Behrends, Taco S Cohen

ICMLW 2023 Geometric Algebra Transformers Johann Brehmer, Pim De Haan, Sönke Behrends, Taco Cohen

TMLR 2023 Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set Ties van Rozendaal, Johann Brehmer, Yunfan Zhang, Reza Pourreza, Auke J. Wiggers, Taco Cohen

NeurIPSW 2022 Deconfounded Imitation Learning Risto Vuorio, Pim De Haan, Johann Brehmer, Hanno Ackermann, Daniel Dijkman, Taco Cohen

ICLRW 2022 Implicit Neural Video Compression Yunfan Zhang, Ties van Rozendaal, Johann Brehmer, Markus Nagel, Taco Cohen

NeurIPS 2022 Weakly Supervised Causal Representation Learning Johann Brehmer, Pim de Haan, Phillip Lippe, Taco S Cohen

ICLRW 2022 Weakly Supervised Causal Representation Learning Johann Brehmer, Pim De Haan, Phillip Lippe, Taco Cohen

NeurIPS 2020 Flows for Simultaneous Manifold Learning and Density Estimation Johann Brehmer, Kyle Cranmer