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Poster
Wed 14:00 Learning Partial Equivariances From Data
David W. Romero · Suhas Lohit
Poster
Tue 14:00 Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks
Renan A. Rojas-Gomez · Teck-Yian Lim · Alex Schwing · Minh Do · Raymond A. Yeh
Poster
Wed 14:00 Structuring Representations Using Group Invariants
Mehran Shakerinava · Arnab Kumar Mondal · Siamak Ravanbakhsh
Poster
Tue 9:00 Equivariant Networks for Zero-Shot Coordination
Darius Muglich · Christian Schroeder de Witt · Elise van der Pol · Shimon Whiteson · Jakob Foerster
Poster
Tue 9:00 Relaxing Equivariance Constraints with Non-stationary Continuous Filters
Tycho van der Ouderaa · David W. Romero · Mark van der Wilk
Poster
Wed 14:00 Invariance-Aware Randomized Smoothing Certificates
Jan Schuchardt · Stephan Günnemann
Poster
Thu 9:00 Pure Transformers are Powerful Graph Learners
Jinwoo Kim · Dat Nguyen · Seonwoo Min · Sungjun Cho · Moontae Lee · Honglak Lee · Seunghoon Hong
Poster
Wed 9:00 Torsional Diffusion for Molecular Conformer Generation
Bowen Jing · Gabriele Corso · Jeffrey Chang · Regina Barzilay · Tommi Jaakkola
Poster
Tue 9:00 Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups
Sho Sonoda · Isao Ishikawa · Masahiro Ikeda
Poster
Tue 9:00 In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?
Henry Kvinge · Tegan Emerson · Grayson Jorgenson · Scott Vasquez · Tim Doster · Jesse Lew
Poster
Thu 14:00 Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Minsu Kim · Junyoung Park · Jinkyoo Park
Poster
Wed 9:00 Unsupervised Learning of Group Invariant and Equivariant Representations
Robin Winter · Marco Bertolini · Tuan Le · Frank Noe · Djork-Arné Clevert