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02/06/2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
With the introduction of the variational autoencoder (VAE), probabilisti...
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10/28/2018
An Efficient Implementation of Riemannian Manifold Hamiltonian Monte Carlo for Gaussian Process Models
This technical report presents pseudo-code for a Riemannian manifold Ham...
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04/25/2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments
In model-based reinforcement learning, generative and temporal models of...
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10/16/2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
This paper takes a step towards temporal reasoning in a dynamically chan...
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04/03/2017
Semi-Supervised Generation with Cluster-aware Generative Models
Deep generative models trained with large amounts of unlabelled data hav...
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05/24/2016
Sequential Neural Models with Stochastic Layers
How can we efficiently propagate uncertainty in a latent state represent...
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04/07/2016
