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62 Results
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Poster
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Tue 9:00 |
A Chance-Constrained Generative Framework for Sequence Optimization Xianggen Liu · Qiang Liu · Sen Song · Jian Peng |
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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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Thu 6:00 |
Latent Variable Modelling with Hyperbolic Normalizing Flows Joey Bose · Ariella Smofsky · Renjie Liao · Prakash Panangaden · Will Hamilton |
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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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Thu 8:00 |
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation Jae Hyun Lim · Aaron Courville · Christopher Pal · Chin-Wei Huang |
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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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Tue 7:00 |
Evaluating Lossy Compression Rates of Deep Generative Models Sicong Huang · Alireza Makhzani · Yanshuai Cao · Roger Grosse |
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Poster
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Tue 7:00 |
Improving Generative Imagination in Object-Centric World Models Zhixuan Lin · Yi-Fu Wu · Skand Peri · Bofeng Fu · Jindong Jiang · Sungjin Ahn |
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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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Wed 11:00 |
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations Markos Georgopoulos · Grigorios Chrysos · Maja Pantic · Yannis Panagakis |
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Poster
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Tue 14:00 |
Improving Molecular Design by Stochastic Iterative Target Augmentation Kevin Yang · Wengong Jin · Kyle Swanson · Regina Barzilay · Tommi Jaakkola |
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Poster
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Wed 8:00 |
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse Bin Dai · Ziyu Wang · David Wipf |