Here are recent publications. A full list can be found here.
J Walker*, E. Vértes*, Y.* Li, G. Dulac-Arnold, A. Anand, T. Weber, and J. Hamrick
Investigating the role of model-based learning in exploration and transfer
ICML 2023
[Publication]
M. Bošnjak, P. Richemond, N. Tomasev, F. Strub, J. Walker, F. Hill, L. Buesing, R. Pascanu, C. Blundell, and J. Mitrovic
SemPPL: Predicting pseudo-labels for better contrastive representations
ICLR 2023
[Publication]
C. Nash, J. Carreira, J. Walker, I. Barr, A. Jaegle, M. Malinowski*, and P. Battaglia*
Transframer: Arbitrary Frame Prediction with Generative Models
TMLR 2023
[Project Page] [Publication (Arxiv)]
A. Anand*, J. Walker*, Y. Li**, E. Vértes**, J. Schrittwieser, S. Ozair, T. Weber, and J. Hamrick
Procedural generalization by planning with self-supervised world models
ICLR 2022
[Publication]
A. Banino*, A. Badia*, J. Walker*, T. Scholtes*, J. Mitrovic, C. Blundell
CoBERL: Contrastive BERT for Reinforcement Learning
ICML 2022
[Project Page] [Publication (Arxiv)]
J. Walker, A. Razavi, and A. van den Oord
Predicting Video with VQVAE
Arxiv 2021
[Project Page] [Publication (Arxiv)]
J. Mitrovic, B. McWilliams, J. Walker, L. Buesing, and C. Blundell
Representation learning via invariant causal mechanisms
ICLR 2021
[Publication]
J. Walker, K. Marino, A. Gupta, and M. Hebert
The Pose Knows: Video Forecasting by Generating Pose Futures
ICCV 2017
[Project Page] [Publication (Arxiv)] [Bibtex]
J. Walker, C. Doersch, A. Gupta, and M. Hebert
An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders
ECCV 2016
[Project Page] [Publication (Arxiv)] [Bibtex]
J. Walker, A. Gupta, and M. Hebert
Dense Optical Flow Prediction from a Static Image
ICCV 2015
[Project Page] [Publication (PDF)] [Bibtex]
J. Walker, A. Gupta, and M. Hebert
Patch to the Future: Unsupervised Visual Prediction
CVPR 2014 Oral
[Project Page] [Publication (PDF)] [Bibtex]