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DALI: Geometric Deep Learning
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Room: Conference room 8
9:30-9:40 Opening Remarks
9:40-10:20 Graph neural networks and discrete latent structure in natural language processing
10:20-11:00 Uncertainty quantification for manifold valued models
Coffee Break
11:30-12:10 Group Equivariant CNNs beyond Roto-Translations: B-Spline CNNs on Lie Groups
12:10-13:00 Discussion
Lunch Break
16:10-16:50 TBA
16:50-17:30 TBA
Coffee Break
18:00-18:40 Only Bayes Should Learn a Manifold
18:40-19:20 Regularizing Optimal Transport using Regularity Theory and Subspace Projections
19:30-20:30 ELLIS Assembly