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Workshop
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Sat 9:35
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Panel Discussion I: Geometric and topological principles for representation learning in ML
Irina Higgins · Taco Cohen · Erik Bekkers · Nina Miolane · Rose Yu
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Affinity Workshop
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Protein Structure Ranking with Atom-level Geometric Representation Learning
Tian Xia · Sarp Aykent
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Poster
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Tue 9:00
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Equivariant Networks for Crystal Structures
Oumar Kaba · Siamak Ravanbakhsh
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Workshop
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Testing geometric representation hypotheses from simulated place cell recordings
Thibault Niederhauser · Adam Lester · Nina Miolane · Khanh Dao Duc · Manu Madhav
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Poster
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Wed 14:00
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Why neural networks find simple solutions: The many regularizers of geometric complexity
Benoit Dherin · Michael Munn · Mihaela Rosca · David Barrett
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Poster
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Thu 9:00
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Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings
Dongxu Zhang · Michael Boratko · Cameron Musco · Andrew McCallum
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Workshop
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On the Ambiguity in Classification
Arif Dönmez
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Workshop
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Geometric NeuralPDE (GNPnet) Models for Learning Dynamics
Oluwadamilola Fasina · Smita Krishnaswamy · Aditi Krishnapriyan
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Poster
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Thu 14:00
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Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
Shizhen Zhao · Xiaojuan Qi
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Workshop
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Towards architectural optimization of equivariant neural networks over subgroups
Kaitlin Maile · Dennis Wilson · Patrick Forré
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Workshop
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Lorentz Direct Concatenation for Stable Training in Hyperbolic Neural Networks
Eric Qu · Dongmian Zou
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Poster
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Tue 14:00
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Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers
Jian Wang · Miaomiao Zhang
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