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78 Results
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Understanding Optimization Challenges when Encoding to Geometric Structures Babak Esmaeili · Robin Walters · Heiko Zimmermann · Jan-Willem van de Meent |
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Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks Sidhika Balachandar · Adrien Poulenard · Congyue Deng · Leonidas Guibas |
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Spatial Symmetry in Slot Attention Ondrej Biza · Sjoerd van Steenkiste · Mehdi S. M. Sajjadi · Gamaleldin Elsayed · Aravindh Mahendran · Thomas Kipf |
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Neuromorphic Visual Scene Understanding with Resonator Networks (in brief) Alpha Renner · Giacomo Indiveri · Lazar Supic · Andreea Danielescu · Bruno Olshausen · Fritz Sommer · Yulia Sandamirskaya · Edward Frady |
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SeLCA: Self-Supervised Learning of Canonical Axis Seungwook Kim · Yoonwoo Jeong · Chunghyun Park · Jaesik Park · Minsu Cho |
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Equivariant Representations for Non-Free Group Actions Luis Armando Pérez Rey · Giovanni Luca Marchetti · Danica Kragic · Dmitri Jarnikov · Mike Holenderski |
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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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Towards architectural optimization of equivariant neural networks over subgroups Kaitlin Maile · Dennis Wilson · Patrick Forré |
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Group invariant machine learning by fundamental domain projections Benjamin Aslan · Daniel Platt · David Sheard |
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Homomorphism AutoEncoder --- Learning Group Structured Representations from Observed Transitions Hamza Keurti · Hsiao-Ru Pan · Michel Besserve · Benjamin F. Grewe · Bernhard Schölkopf |
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Computing Representations for Lie Algebraic Networks Noah Shutty · Casimir Wierzynski |
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Representation Learning on Biomolecular Structures using Equivariant Graph Attention Tuan Le · Frank Noe · Djork-Arné Clevert |