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Poster
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Thu 14:30
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ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks
Mingzhang Yin · Mingyuan Zhou
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Poster
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Thu 14:30
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Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure
Karan Goel · Emma Brunskill
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Poster
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Tue 9:00
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Latent Convolutional Models
ShahRukh Athar · Evgeny Burnaev · Victor Lempitsky
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Poster
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Tue 9:00
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STCN: Stochastic Temporal Convolutional Networks
Emre Aksan · Otmar Hilliges
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Poster
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Tue 14:30
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SOM-VAE: Interpretable Discrete Representation Learning on Time Series
Vincent Fortuin · Matthias Hüser · Francesco Locatello · Heiko Strathmann · Gunnar Rätsch
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Poster
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Thu 14:30
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Distribution-Interpolation Trade off in Generative Models
Damian Leśniak · Igor Sieradzki · Igor Podolak
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Poster
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Thu 14:30
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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
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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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Thu 14:30
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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
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Information Theoretic lower bounds on negative log likelihood
Luis Lastras
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Poster
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Thu 9:00
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Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikang Shen · Shawn Tan · Alessandro Sordoni · Aaron Courville
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Poster
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Tue 14:30
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Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering
Xiaopeng Li · Zhourong Chen · Leonard Poon · Nevin Zhang
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