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Taco Cohen

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Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Apr 27, 2021
Michael M. Bronstein, Joan Bruna, Taco Cohen, Petar Veličković

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Parallelized Rate-Distortion Optimized Quantization Using Deep Learning

Dec 11, 2020
Dana Kianfar, Auke Wiggers, Amir Said, Reza Pourreza, Taco Cohen

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Natural Graph Networks

Jul 16, 2020
Pim de Haan, Taco Cohen, Max Welling

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Adversarial Distortion for Learned Video Compression

Apr 22, 2020
Vijay Veerabadran, Reza Pourreza, Amirhossein Habibian, Taco Cohen

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Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs

Mar 11, 2020
Pim de Haan, Maurice Weiler, Taco Cohen, Max Welling

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A General Theory of Equivariant CNNs on Homogeneous Spaces

Nov 05, 2018
Taco Cohen, Mario Geiger, Maurice Weiler

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3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

Oct 27, 2018
Maurice Weiler, Mario Geiger, Max Welling, Wouter Boomsma, Taco Cohen

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Rotation Equivariant CNNs for Digital Pathology

Jun 08, 2018
Bastiaan S. Veeling, Jasper Linmans, Jim Winkens, Taco Cohen, Max Welling

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Teacher-Student Curriculum Learning

Nov 29, 2017
Tambet Matiisen, Avital Oliver, Taco Cohen, John Schulman

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