Workshop on Invertible Neural Nets and Normalizing Flows
Schedule
| 9:30 - 10:30 | Eric Jang | Normalizing Flows: A Tutorial |
| 10:30 - 10:50 |
Poster Spotlights |
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| 10:50 - 11:30 |
Coffee break and poster session I |
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| 11:30 - 11:50 | Laurent Dinh | Invited Talk: Building a Tractable Generator Network |
| 11:50 - 12:10 | Diederik Kingma & Prafulla Dhariwal | Invited Talk: Glow: Generative Flow with Invertible 1x1 Convolutions |
| 12:10 - 12:30 | Conor Durkan | Contributed Talk: Cubic-Spline Flows |
| 12:30 - 14:00 | Lunch |
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| 14:00 - 14:20 | Jakub Tomczak | Invited Talk: Householder meets Sylvester: Normalizing Flows for Variational Inference |
| 14:20 - 14:40 | Jesse Bettencourt | Invited Talk: Neural Ordinary Differential Equations for Continuous Normalizing Flows |
| 14:40 - 15:00 | Ricky T. Q. Chen | Contributed Talk: Residual Flows: Unbiased Generative Modeling with Norm-Learned i-ResNets. |
| 15:00 - 16:00 | Coffee break and poster session II |
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| 16:00 - 16:20 | Matt Hoffman | Invited Talk: The Bijector API: An Invertible Function Library for TensorFlow |
| 16:20 - 16:40 | Jorn-Henrik Jacobsen | Invited Talk: Invertible Neural Networks for Understanding and Controlling Learned Representations |
| 16:40 - 17:00 | Manoj Kumar | Contributed Talk: VideoFlow: A Flow-Based Generative Model for Video. |
| 17:00 - 18:00 | Panel Session (Submit your question here.)
Panelists: Moderator: David Krueger |