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DALI: Geometric Deep Learning
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Room: Conference room 8
9:30- 9:40 Opening Remarks Taco Cohen, Qualcomm AI Research
9:40- 10:20 Graph neural networks and discrete latent structure in natural language processing Ivan Titov, University of Edinburgh
10:20- 11:00 Uncertainty quantification for manifold valued models Aasa Feragen, University of Copenhagen
Coffee Break
11:30- 12:10 Group Equivariant CNNs beyond Roto-Translations: B-Spline CNNs on Lie Groups Erik Bekkers, University of Amsterdam
12:10- 13:00 Discussion
Lunch Break
16:10- 16:50 TBA Risi Kondor, University of Chicago
16:50- 17:30 TBA Kostas Daniilidis, UPenn
Coffee Break
18:00- 18:40 Only Bayes Should Learn a Manifold Soren Hauberg, TU Denmark
18:40- 19:20 Regularizing Optimal Transport using Regularity Theory and Subspace Projections Marco Cuturi, Institut Polytechnique de Paris
19:30- 20:30 ELLIS Assembly