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163 Results
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Poster
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Tue 9:00 |
Feature Quantization Improves GAN Training Yang Zhao · Chunyuan Li · Ping Yu · Jianfeng Gao · Changyou Chen |
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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 5:00 |
Stabilizing Transformers for Reinforcement Learning Emilio Parisotto · Francis Song · Jack Rae · Razvan Pascanu · Caglar Gulcehre · Siddhant Jayakumar · Max Jaderberg · Raphael Lopez Kaufman · Aidan Clark · Seb Noury · Matthew Botvinick · Nicolas Heess · Raia Hadsell |
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Poster
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Tue 7:00 |
Amortized Population Gibbs Samplers with Neural Sufficient Statistics Hao Wu · Heiko Zimmermann · Eli Sennesh · Tuan Anh Le · Jan-Willem van de Meent |
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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 12:00 |
Learning Flat Latent Manifolds with VAEs Nutan Chen · Alexej Klushyn · Francesco Ferroni · Justin Bayer · Patrick van der Smagt |
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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 12:00 |
Normalizing Flows on Tori and Spheres Danilo J. Rezende · George Papamakarios · Sebastien Racaniere · Michael Albergo · Gurtej Kanwar · Phiala Shanahan · Kyle Cranmer |
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Poster
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Tue 12:00 |
On Contrastive Learning for Likelihood-free Inference Conor Durkan · Iain Murray · George Papamakarios |
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Poster
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Thu 14:00 |
The continuous categorical: a novel simplex-valued exponential family Elliott Gordon-Rodriguez · Gabriel Loaiza-Ganem · John Cunningham |
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Workshop
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Thu 23:45 |
XXAI: Extending Explainable AI Beyond Deep Models and Classifiers Wojciech Samek · Andreas HOLZINGER · Ruth Fong · Taesup Moon · Klaus-robert Mueller |
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Poster
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Tue 13:00 |
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities Jonas Köhler · Leon Klein · Frank Noe |