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30 Results
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Poster
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Thu 14:30 |
Amortized Bayesian Meta-Learning Sachin Ravi · Alex Beatson |
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Poster
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Thu 14:30 |
The Deep Weight Prior Andrei Atanov · Arsenii Ashukha · Kirill Struminsky · Dmitry P. Vetrov · Max Welling |
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Poster
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Thu 14:30 |
Variance Networks: When Expectation Does Not Meet Your Expectations Kirill Neklyudov · Dmitry Molchanov · Arsenii Ashukha · Dmitry P. Vetrov |
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Poster
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Thu 9:00 |
Posterior Attention Models for Sequence to Sequence Learning Shiv Shankar · Sunita Sarawagi |
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Poster
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Wed 9:00 |
Probabilistic Planning with Sequential Monte Carlo methods Alexandre Piche · Valentin Thomas · Cyril Ibrahim · Yoshua Bengio · Christopher Pal |
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Poster
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Wed 9:00 |
FFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl · Tian Qi Chen · Jesse Bettencourt · Ilya Sutskever · David Duvenaud |
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Poster
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Tue 14:30 |
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator Makoto Yamada · Yi Wu · Yao-Hung Hubert Tsai · Hirofumi Ohta · Ruslan Salakhutdinov · Ichiro Takeuchi · Kenji Fukumizu |
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Poster
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Thu 14:30 |
Practical lossless compression with latent variables using bits back coding James Townsend · Thomas Bird · David Barber |
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Poster
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Tue 9:00 |
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods Apratim Bhattacharyya · Mario Fritz · Bernt Schiele |
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Poster
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Tue 14:30 |
Large Scale Graph Learning From Smooth Signals Vassilis Kalofolias · Nathanaël Perraudin |
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Poster
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Thu 14:30 |
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders Junxian He · Daniel Spokoyny · Graham Neubig · Taylor Berg-Kirkpatrick |
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Poster
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Tue 9:00 |
Learning to Infer and Execute 3D Shape Programs Yonglong Tian · Andrew Luo · Xingyuan Sun · Kevin Ellis · William Freeman · Joshua B Tenenbaum · Jiajun Wu |