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Workshop
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Sat 9:05
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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
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Workshop
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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
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Workshop
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Computing Representations for Lie Algebraic Networks
Noah Shutty · Casimir Wierzynski
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Workshop
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Sat 8:40
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Computing Representations for Lie Algebraic Networks
Noah Shutty · Casimir Wierzynski
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Workshop
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Learning unfolded networks with a cyclic group structure
Emmanouil Theodosis · Demba Ba
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Poster
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Wed 14:00
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Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors
Wenhao Zhang · Ying Nian Wu · Si Wu
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Poster
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Tue 9:00
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Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE
Alireza Nasiri · Tristan Bepler
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Workshop
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Equivariance with Learned Canonical Mappings
Oumar Kaba · Arnab Mondal · Yan Zhang · Yoshua Bengio · Siamak Ravanbakhsh
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Workshop
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Sat 9:00
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Equivariance with Learned Canonical Mappings
Oumar Kaba · Arnab Mondal · Yan Zhang · Yoshua Bengio · Siamak Ravanbakhsh
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Poster
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Wed 14:00
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LieGG: Studying Learned Lie Group Generators
Artem Moskalev · Anna Sepliarskaia · Ivan Sosnovik · Arnold Smeulders
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Poster
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Tue 9:00
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Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups
Sho Sonoda · Isao Ishikawa · Masahiro Ikeda
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Workshop
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Sparse Convolutions on Lie Groups
Tycho van der Ouderaa · Mark van der Wilk
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