papers
Publications (7)
cs.LG2018
Learning and Querying Fast Generative Models for Reinforcement Learning
Lars Buesing, Theophane Weber, Sebastien Racaniere +8
cs.NE2018
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
Scott Reed, Yutian Chen, Thomas Paine +5
cs.AI2016
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia, Razvan Pascanu, Matthew Lai +2
cs.LG2018
Towards a Definition of Disentangled Representations
Irina Higgins, David Amos, David Pfau +4
cs.LG2018
Unsupervised Predictive Memory in a Goal-Directed Agent
Greg Wayne, Chia-Chun Hung, David Amos +21
stat.ML2016
Normalizing Flows on Riemannian Manifolds
Mevlana C. Gemici, Danilo Rezende, Shakir Mohamed
cs.LG2015
Towards Principled Unsupervised Learning
Ilya Sutskever, Rafal Jozefowicz, Karol Gregor +3