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46 Results
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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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Thu 14:30 |
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks Mingzhang Yin · Mingyuan Zhou |
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Poster
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Tue 9:00 |
Latent Convolutional Models ShahRukh Athar · Evgeny Burnaev · Victor Lempitsky |
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Poster
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Tue 9:00 |
STCN: Stochastic Temporal Convolutional Networks Emre Aksan · Otmar Hilliges |
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Poster
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Thu 14:30 |
Distribution-Interpolation Trade off in Generative Models Damian Leśniak · Igor Sieradzki · Igor Podolak |
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Poster
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Tue 9:00 |
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes Roman Novak · Lechao Xiao · Yasaman Bahri · Jaehoon Lee · Greg Yang · Jiri Hron · Daniel Abolafia · Jeffrey Pennington · Jascha Sohl-Dickstein |
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Poster
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Thu 14:30 |
Optimal Transport Maps For Distribution Preserving Operations on Latent Spaces of Generative Models Eirikur Agustsson · Alexander Sage · Radu Timofte · Luc Van Gool |
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Poster
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Thu 14:30 |
Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure Karan Goel · Emma Brunskill |
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Poster
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Thu 14:30 |
Deep learning generalizes because the parameter-function map is biased towards simple functions Guillermo Valle-Perez · Chico Q. Camargo · Ard Louis |
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Poster
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Thu 14:30 |
Variational Autoencoders with Jointly Optimized Latent Dependency Structure Jiawei He · Yu Gong · Joe Marino · Greg Mori · Andreas Lehrmann |
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Poster
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Tue 9:00 |
Deep Convolutional Networks as shallow Gaussian Processes Adrià Garriga-Alonso · Carl Edward Rasmussen · Laurence Aitchison |
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Poster
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Thu 14:30 |
Information Theoretic lower bounds on negative log likelihood Luis Lastras |