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Invited Talk
Tue 0:00 Geometric Deep Learning: the Erlangen Programme of ML
Michael Bronstein
Spotlight
Tue 12:50 Learning from Protein Structure with Geometric Vector Perceptrons
Bowen Jing · Stephan Eismann · Patricia Suriana · Raphael J Townshend · Ron Dror
Spotlight
Mon 20:28 Fast Geometric Projections for Local Robustness Certification
Aymeric Fromherz · Klas Leino · Matt Fredrikson · Bryan Parno · Corina Pasareanu
Spotlight
Tue 3:45 Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
Pim De Haan · Maurice Weiler · Taco Cohen · Max Welling
Poster
Wed 17:00 A Geometric Analysis of Deep Generative Image Models and Its Applications
Binxu Wang · Carlos Ponce
Poster
Thu 17:00 Fast Geometric Projections for Local Robustness Certification
Aymeric Fromherz · Klas Leino · Matt Fredrikson · Bryan Parno · Corina Pasareanu
Poster
Tue 9:00 Learning from Protein Structure with Geometric Vector Perceptrons
Bowen Jing · Stephan Eismann · Patricia Suriana · Raphael J Townshend · Ron Dror
Poster
Thu 17:00 Group Equivariant Generative Adversarial Networks
Neel Dey · Antong Chen · Soheil Ghafurian
Workshop
Fri 5:00 Geometric and Topological Representation Learning
Guy Wolf · Xiuyuan Cheng · Smita Krishnaswamy · Jure Leskovec · Bastian Rieck · Soledad Villar
Poster
Mon 1:00 Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
Pim De Haan · Maurice Weiler · Taco Cohen · Max Welling
Workshop
Fri 5:15 Geometric Deep Learning
Fernando Gama
Workshop
Fri 7:00 Interpretable Recommender System With Heterogeneous Information: A Geometric Deep Learning Perspective
Yan Leng