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12 Results
Workshop
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Expander Graph Propagation Andreea Deac · Marc Lackenby · Petar Veličković |
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Workshop
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Expander Graph Propagation Andreea Deac · Marc Lackenby · Petar Veličković |
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Poster
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Thu 9:00 |
A Classification of -invariant Shallow Neural Networks Devanshu Agrawal · James Ostrowski |
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Poster
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Wed 9:00 |
Scalable and Efficient Non-adaptive Deterministic Group Testing Dariusz Kowalski · Dominik Pajak |
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Workshop
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Sat 9:15 |
Expander Graph Propagation Andreea Deac · Marc Lackenby · Petar Veličković |
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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 |
Equivariance with Learned Canonical Mappings Oumar Kaba · Arnab Mondal · Yan Zhang · Yoshua Bengio · Siamak Ravanbakhsh |
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Workshop
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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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Poster
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Wed 9:00 |
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective Rongzhe Wei · Haoteng YIN · Junteng Jia · Austin Benson · Pan Li |
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Poster
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Wed 14:00 |
Structuring Representations Using Group Invariants Mehran Shakerinava · Arnab Kumar Mondal · Siamak Ravanbakhsh |
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Poster
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Tue 9:00 |
Improved Fine-Tuning by Better Leveraging Pre-Training Data Ziquan Liu · Yi Xu · Yuanhong Xu · Qi Qian · Hao Li · Xiangyang Ji · Antoni Chan · Rong Jin |
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Poster
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Tue 14:00 |
Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres Joshua Mitton · Simon Mekhail · Miles Padgett · Daniele Faccio · Marco Aversa · Roderick Murray-Smith |