Tentative Schedule
Date: Friday Dec 11th 2020
All times are in Eastern Standard Time (EST)
8:45 - 9:00
Opening Remarks
9:00 - 9:30
Invited Talk 1
Speaker: Michael Bronstein
Talk Title: Geometric deep learning for 3D human body synthesis
9:30 - 10:00
Invited Talk 2
Speaker: Taco Cohen
Talk Title: Gauge Theory in Geometric Deep Learning
10:00 - 10:30
Contributed Talks: Original Research
Virtual Coffee Break 10:30 - 11:00
11:00 - 11:30
Invited Talk 3
Speaker: Søren Hauberg
Talk Title: Reparametrization invariance in representation learning
11:30 - 12:30
Poster Session 1
12:30 - 1:15
Panel Discussion
Virtual Coffee Break 1:15 - 1:45
1:45 - 2:30
Focused Breakout Session
2:30 - 3:00
Invited Talk 4
Speaker: Niky Kamran
Talk Title: An introduction to the Calderon and Steklov inverse problems on Riemannian manifolds with boundary
3:00 - 4:00
Poster Session 2
4:00 - 4:30
Invited Talk 5
Speaker: Nina Miolane
Talk Title: Disentangling Orientation and Camera Parameters from Cryo-Electron Microscopy Images Using Differential Geometry and Variational Autoencoders
4:30 - 5:00
Invited Talk 6
Speaker: Melanie Weber
Talk Title: Learning a robust classifier in hyperbolic space