Cohen, Taco S.

15 publications

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

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

NeurIPS 2022 A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi, Gabriele Cesa, Taco S Cohen

NeurIPS 2022 On the Symmetries of the Synchronization Problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane Gabriele Cesa, Arash Behboodi, Taco S Cohen, Max Welling

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

CVPR 2021 Skip-Convolutions for Efficient Video Processing Amirhossein Habibian, Davide Abati, Taco S. Cohen, Babak Ehteshami Bejnordi

CVPRW 2020 Lossy Compression with Distortion Constrained Optimization Ties van Rozendaal, Guillaume Sautière, Taco S. Cohen

NeurIPS 2020 Natural Graph Networks Pim de Haan, Taco S Cohen, Max Welling

NeurIPS 2019 A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S Cohen, Mario Geiger, Maurice Weiler

NeurIPS 2018 3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler, Mario Geiger, Max Welling, Wouter Boomsma, Taco S Cohen

ICLR 2018 HexaConv Emiel Hoogeboom, Jorn W.T. Peters, Taco S. Cohen, Max Welling

ICLR 2018 Spherical CNNs Taco S. Cohen, Mario Geiger, Jonas Köhler, Max Welling

ICLR 2017 Steerable CNNs Taco S. Cohen, Max Welling

ICLR 2017 Visualizing Deep Neural Network Decisions: Prediction Difference Analysis Luisa M. Zintgraf, Taco S. Cohen, Tameem Adel, Max Welling

ICLR 2015 Transformation Properties of Learned Visual Representations Taco S. Cohen, Max Welling