INNF+ 2020



Schedule

For a more detailed schedule, see the video stream link.

For all the videos of accepted papers, please visit the accepted papers page.
(Times are in UTC)
  9:25 - 9:30 Opening Remarks
  9:30 - 10:10 Max Welling
(UvA)
Invited Talk: Unifying VAEs and Flows
[video]
10:10 - 10:30 Poster Spotlights I

10:30 - 11:10 Poster Session I

11:10 - 11:40 Eric Nalisnick
(Cambridge)
Invited Talk: Detecting Distribution Shift with Deep Generative Models
[video]
11:40 - 12:10 Emilien Dupont
(Oxford)
Invited Talk: Representational Limitations of Invertible Models
[video]
12:10 - 12:40 Poster Spotlights II

12:40 - 14:00 Lunch

14:00 - 14:30 Cheng Zhang
(Microsoft)
Invited Talk: Divergence Measures in Variational Inference and How to Choose Them
[video]
14:30 - 15:00 Adji Bousso Dieng
(Columbia)
Invited Talk: Adversarial Learning of Prescribed Generative Models
[video]
15:00 - 15:30 Contributed Talk I: Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
[video]
15:30 - 16:00 Kyle Cranmer
(NYU)
Invited Talk: Likelihood Models for Science
[video]
16:00 - 16:30 Martin Jankowiak
(Uber AI)
Invited Talk: Flows in Probabilistic Modeling & Inference
[video]
16:30 - 17:00 Contributed Talk II: Learning normalizing flows from Entropy-Kantorovich potentials
[video]
17:00 - 18:00 Poster Session II