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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
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
Poster
Thu 9:00 A Classification of G-invariant Shallow Neural Networks
Devanshu Agrawal · James Ostrowski
Poster
Wed 9:00 Unsupervised Learning of Group Invariant and Equivariant Representations
Robin Winter · Marco Bertolini · Tuan Le · Frank Noe · Djork-Arné Clevert
Workshop
Conditional Invariances for Conformer Invariant Protein Representations
Balasubramaniam Srinivasan · Vassilis Ioannidis · Soji Adeshina · Mayank Kakodkar · George Karypis · Bruno Ribeiro
Workshop
Group invariant machine learning by fundamental domain projections
Benjamin Aslan · Daniel Platt · David Sheard
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
Thu 14:00 When Does Group Invariant Learning Survive Spurious Correlations?
Yimeng Chen · Ruibin Xiong · Zhi-Ming Ma · Yanyan Lan
Workshop
Sparse Convolutions on Lie Groups
Tycho van der Ouderaa · Mark van der Wilk