Raphaël Lopez Kaufman

Publication Activity (10 Years)

Years Active: 2019-2020
Publications (10 Years): 3

Top Topics

Variational Inference

Reinforcement Learning

Function Approximators

Top Venues

Publications

Emilio Parisotto, H. Francis Song, Jack W. Rae, Razvan Pascanu, Çaglar Gülçehre, Siddhant M. Jayakumar, Max Jaderberg, Raphaël Lopez Kaufman, Aidan Clark, Seb Noury, Matthew Botvinick, Nicolas Heess, Raia Hadsell
Stabilizing Transformers for Reinforcement Learning. ICML (2020)
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Christopher Burgess, Daniel Zoran, Loic Matthey, Matthew Botvinick, Alexander Lerchner
Multi-Object Representation Learning with Iterative Variational Inference. ICML (2019)
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Christopher Burgess, Daniel Zoran, Loïc Matthey, Matthew Botvinick, Alexander Lerchner
Multi-Object Representation Learning with Iterative Variational Inference. CoRR (2019)