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 |
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10:30 - 11:10 |
Poster Session I |
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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 |
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12:40 - 14:00 | Lunch |
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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] |
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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] |
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17:00 - 18:00 | Poster Session II |