Poster

Wed 14:00

Invariance-Aware Randomized Smoothing Certificates
Jan Schuchardt · Stephan Günnemann

Workshop

Sat 9:05

Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
Matthew Farrell · Blake Bordelon · Shubhendu Trivedi · Cengiz Pehlevan

Workshop

SeLCA: Self-Supervised Learning of Canonical Axis
Seungwook Kim · Yoonwoo Jeong · Chunghyun Park · Jaesik Park · Minsu Cho

Workshop

Barron's Theorem for Equivariant Networks
Hannah Lawrence

Workshop

SE(3)-equivariant self-attention via invariant features
Nan Chen · Soledad Villar

Workshop

PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics
Jan Offermann · Alexander Bogatskiy · Timothy Hoffman · David W Miller

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

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

Wed 14:00

LieGG: Studying Learned Lie Group Generators
Artem Moskalev · Anna Sepliarskaia · Ivan Sosnovik · Arnold Smeulders

Poster

Wed 9:00

Unsupervised Learning of Group Invariant and Equivariant Representations
Robin Winter · Marco Bertolini · Tuan Le · Frank Noe · Djork-Arné Clevert

Workshop

Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
Matthew Farrell · Blake Bordelon · Shubhendu Trivedi · Cengiz Pehlevan