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521 Results
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Poster
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Thu 6:00 |
Bridging the Gap Between f-GANs and Wasserstein GANs Jiaming Song · Stefano Ermon |
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Poster
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Tue 7:00 |
On Implicit Regularization in -VAEs Abhishek Kumar · Ben Poole |
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Poster
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Thu 6:00 |
Tails of Lipschitz Triangular Flows Priyank Jaini · Ivan Kobyzev · Yaoliang Yu · Marcus Brubaker |
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Poster
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Thu 7:00 |
Distribution Augmentation for Generative Modeling Heewoo Jun · Rewon Child · Mark Chen · John Schulman · Aditya Ramesh · Alec Radford · Ilya Sutskever |
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Poster
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Thu 12:00 |
Low Bias Low Variance Gradient Estimates for Hierarchical Boolean Stochastic Networks Adeel Pervez · Taco Cohen · Efstratios Gavves |
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Poster
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Tue 7:00 |
Fair Generative Modeling via Weak Supervision Kristy Choi · Aditya Grover · Trisha Singh · Rui Shu · Stefano Ermon |
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Poster
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Wed 11:00 |
Deep Gaussian Markov Random Fields Per Sidén · Fredrik Lindsten |
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Poster
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Tue 10:00 |
Training Deep Energy-Based Models with f-Divergence Minimization Lantao Yu · Yang Song · Jiaming Song · Stefano Ermon |
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Poster
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Wed 10:00 |
Learning Calibratable Policies using Programmatic Style-Consistency Eric Zhan · Albert Tseng · Yisong Yue · Adith Swaminathan · Matthew Hausknecht |
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Poster
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Tue 7:00 |
Evaluating Lossy Compression Rates of Deep Generative Models Sicong Huang · Alireza Makhzani · Yanshuai Cao · Roger Grosse |
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Tutorial
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Mon 8:00 |
Bayesian Deep Learning and a Probabilistic Perspective of Model Construction Andrew Wilson |
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Poster
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Thu 7:00 |
ACFlow: Flow Models for Arbitrary Conditional Likelihoods Yang Li · Shoaib Akbar · Junier Oliva |