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78 Results
Poster
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Wed 14:00 |
Learning Partial Equivariances From Data David W. Romero · Suhas Lohit |
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Poster
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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 |
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Poster
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Wed 14:00 |
Structuring Representations Using Group Invariants Mehran Shakerinava · Arnab Kumar Mondal · Siamak Ravanbakhsh |
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Poster
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Tue 9:00 |
Equivariant Networks for Zero-Shot Coordination Darius Muglich · Christian Schroeder de Witt · Elise van der Pol · Shimon Whiteson · Jakob Foerster |
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Poster
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Tue 9:00 |
Relaxing Equivariance Constraints with Non-stationary Continuous Filters Tycho van der Ouderaa · David W. Romero · Mark van der Wilk |
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Poster
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Wed 14:00 |
Invariance-Aware Randomized Smoothing Certificates Jan Schuchardt · Stephan Günnemann |
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Poster
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Thu 9:00 |
Pure Transformers are Powerful Graph Learners Jinwoo Kim · Dat Nguyen · Seonwoo Min · Sungjun Cho · Moontae Lee · Honglak Lee · Seunghoon Hong |
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Poster
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Wed 9:00 |
Torsional Diffusion for Molecular Conformer Generation Bowen Jing · Gabriele Corso · Jeffrey Chang · Regina Barzilay · Tommi Jaakkola |
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Poster
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Tue 9:00 |
Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups Sho Sonoda · Isao Ishikawa · Masahiro Ikeda |
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Poster
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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 |
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Poster
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Thu 14:00 |
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization Minsu Kim · Junyoung Park · Jinkyoo Park |
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Poster
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Wed 9:00 |
Unsupervised Learning of Group Invariant and Equivariant Representations Robin Winter · Marco Bertolini · Tuan Le · Frank Noe · Djork-Arné Clevert |