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Oral
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Wed 9:15
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Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks
S Chandra Mouli · Bruno Ribeiro
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Poster
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Thu 10:30
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Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks
S Chandra Mouli · Bruno Ribeiro
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Poster
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Mon 18:30
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Geometric Transformers for Protein Interface Contact Prediction
Alex Morehead · Chen Chen · Jianlin Cheng
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Poster
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Tue 2:30
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A Program to Build E(N)-Equivariant Steerable CNNs
Gabriele Cesa · Leon Lang · Maurice Weiler
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Poster
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Thu 2:30
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Universal Approximation Under Constraints is Possible with Transformers
Anastasis Kratsios · Behnoosh Zamanlooy · Tianlin Liu · Ivan Dokmanic
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Spotlight
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Thu 2:30
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Universal Approximation Under Constraints is Possible with Transformers
Anastasis Kratsios · Behnoosh Zamanlooy · Tianlin Liu · Ivan Dokmanic
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Poster
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Tue 10:30
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Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations
Keir Adams · Lagnajit Pattanaik · Connor Coley
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Workshop
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Multi-scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators
Léon Migus · Yuan Yin · Ahmed Mazari · patrick gallinari
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Poster
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Mon 10:30
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Deep AutoAugment
Yu Zheng · Zhi Zhang · Shen Yan · Mi Zhang
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Oral Session
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Tue 1:00
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Oral 2: Understanding Deep Learning
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Poster
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Wed 10:30
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Memory Augmented Optimizers for Deep Learning
Paul-Aymeric McRae · Prasanna Parthasarathi · Mido Assran · Sarath Chandar
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Workshop
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Using Deep Learning to Bootstrap Abstractions for Robot Planning
Naman Shah · Siddharth Srivastava
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