Search All 2022 Events
 

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Poster
Wed 14:00 Invariance-Aware Randomized Smoothing Certificates
Jan Schuchardt · Stephan G√ľnnemann
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-Arn√© 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