Raphael Lopez Kaufman

According to our database, Raphael Lopez Kaufman authored at least 3 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Stabilizing Transformers for Reinforcement Learning.

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 M. Botvinick, Nicolas Heess, Raia Hadsell

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Multi-Object Representation Learning with Iterative Variational Inference.

Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Chris Burgess, Daniel Zoran, Loic Matthey, Matthew M. Botvinick, Alexander Lerchner

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Democratizing online controlled experiments at Booking.com.

Raphael Lopez Kaufman, Jegar Pitchforth, Lukas Vermeer

CoRR, 2017