Poster

Thu 10:30

Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks
S Chandra Mouli · Bruno Ribeiro

Oral

Wed 9:15

Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks
S Chandra Mouli · Bruno Ribeiro

Poster

Mon 18:30

Geometric Transformers for Protein Interface Contact Prediction
Alex Morehead · Chen Chen · Jianlin Cheng

Poster

Tue 2:30

A Program to Build E(N)-Equivariant Steerable CNNs
Gabriele Cesa · Leon Lang · Maurice Weiler

Poster

Thu 2:30

Universal Approximation Under Constraints is Possible with Transformers
Anastasis Kratsios · Behnoosh Zamanlooy · Tianlin Liu · Ivan Dokmanic

Spotlight

Thu 2:30

Universal Approximation Under Constraints is Possible with Transformers
Anastasis Kratsios · Behnoosh Zamanlooy · Tianlin Liu · Ivan Dokmanic

Poster

Tue 10:30

Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations
Keir Adams · Lagnajit Pattanaik · Connor Coley

Workshop

Multi-scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators
Léon Migus · Yuan Yin · Ahmed Mazari · patrick gallinari

Oral Session

Tue 1:00

Oral 2: Understanding Deep Learning

Workshop

Using Deep Learning to Bootstrap Abstractions for Robot Planning
Naman Shah · Siddharth Srivastava

Poster

Wed 10:30

Memory Augmented Optimizers for Deep Learning
Paul-Aymeric McRae · Prasanna Parthasarathi · Mido Assran · Sarath Chandar

Poster

Mon 10:30

Deep AutoAugment
Yu Zheng · Zhi Zhang · Shen Yan · Mi Zhang