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45 Results
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Poster
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Tue 7:45 |
Latent Alignment and Variational Attention Yuntian Deng · Yoon Kim · Justin Chiu · Demi Guo · Alexander Rush |
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Spotlight
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Tue 13:20 |
Point process latent variable models of larval zebrafish behavior Anuj Sharma · Robert Johnson · Florian Engert · Scott Linderman |
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Poster
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Thu 14:00 |
Deep Homogeneous Mixture Models: Representation, Separation, and Approximation Priyank Jaini · Pascal Poupart · Yaoliang Yu |
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Poster
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Wed 14:00 |
Benefits of over-parameterization with EM Ji Xu · Daniel Hsu · Arian Maleki |
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Poster
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Thu 7:45 |
Semi-crowdsourced Clustering with Deep Generative Models Yucen Luo · TIAN TIAN · Jiaxin Shi · Jun Zhu · Bo Zhang |
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Poster
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Tue 14:00 |
Neural Ordinary Differential Equations Tian Qi Chen · Yulia Rubanova · Jesse Bettencourt · David Duvenaud |
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Poster
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Wed 14:00 |
Stochastic Expectation Maximization with Variance Reduction Jianfei Chen · Jun Zhu · Yee Whye Teh · Tong Zhang |
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Poster
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Thu 7:45 |
Bayesian Alignments of Warped Multi-Output Gaussian Processes Markus Kaiser · Clemens Otte · Thomas Runkler · Carl Henrik Ek |
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Poster
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Thu 7:45 |
Flexible and accurate inference and learning for deep generative models Eszter Vértes · Maneesh Sahani |
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Poster
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Thu 7:45 |
Learning latent variable structured prediction models with Gaussian perturbations Kevin Bello · Jean Honorio |
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Poster
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Tue 14:00 |
Point process latent variable models of larval zebrafish behavior Anuj Sharma · Robert Johnson · Florian Engert · Scott Linderman |
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Poster
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Thu 7:45 |
Learning Latent Subspaces in Variational Autoencoders Jack Klys · Jake Snell · Richard Zemel |