Highly Overparameterized Optical Flow Using PatchMatch Belief Propagation. - Michael Hornacek; Frederic Besse; Jan Kautz; Andrew W. Fitzgibbon; Carsten Rother (ECCV (3), 2014)

PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation. - Frederic Besse; Carsten Rother; Andrew W. Fitzgibbon; Jan Kautz (Int. J. Comput. Vis., 2014)

Convolution by Evolution: Differentiable Pattern Producing Networks. - Chrisantha Fernando; Dylan Banarse; Malcolm Reynolds; Frederic Besse; David Pfau; Max Jaderberg; Marc Lanctot; Daan Wierstra (GECCO, 2016)

Towards Conceptual Compression. - Karol Gregor; Frederic Besse; Danilo Jimenez Rezende; Ivo Danihelka; Daan Wierstra (NIPS, 2016)

Learning and Querying Fast Generative Models for Reinforcement Learning. - Lars Buesing; Theophane Weber; Sébastien Racanière; S. M. Ali Eslami; Danilo Jimenez Rezende; David P. Reichert; Fabio Viola; Frederic Besse; Karol Gregor; Demis Hassabis; Daan Wierstra (CoRR, 2018)

Temporal Difference Variational Auto-Encoder. - Karol Gregor; Frederic Besse (CoRR, 2018)

Encoding Spatial Relations from Natural Language. - Tiago Ramalho; Tomás Kociský; Frederic Besse; S. M. Ali Eslami; Gábor Melis; Fabio Viola; Phil Blunsom; Karl Moritz Hermann (CoRR, 2018)

Learning models for visual 3D localization with implicit mapping. - Dan Rosenbaum; Frederic Besse; Fabio Viola; Danilo J. Rezende; S. M. Ali Eslami (CoRR, 2018)

Temporal Difference Variational Auto-Encoder. - Karol Gregor; George Papamakarios; Frederic Besse; Lars Buesing; Theophane Weber (ICLR, 2019)

Shaping Belief States with Generative Environment Models for RL. - Karol Gregor; Danilo Jimenez Rezende; Frederic Besse; Yan Wu 010; Hamza Merzic; Aäron van den Oord (NeurIPS, 2019)

TF-Replicator: Distributed Machine Learning for Researchers. - Peter Buchlovsky; David Budden; Dominik Grewe; Chris Jones; John Aslanides; Frederic Besse; Andy Brock; Aidan Clark; Sergio Gomez Colmenarejo; Aedan Pope; Fabio Viola; Dan Belov (CoRR, 2019)

Causally Correct Partial Models for Reinforcement Learning. - Danilo J. Rezende; Ivo Danihelka; George Papamakarios; Nan Rosemary Ke; Ray Jiang; Theophane Weber; Karol Gregor; Hamza Merzic; Fabio Viola; Jane Wang 001; Jovana Mitrovic; Frederic Besse; et al. (CoRR, 2020)

Self-Organizing Intelligent Matter: A blueprint for an AI generating algorithm. - Karol Gregor; Frederic Besse (CoRR, 2021)

Scaling Instructable Agents Across Many Simulated Worlds. - SIMA Team; Maria Abi Raad; Arun Ahuja; Catarina Barros; Frederic Besse; Andrew Bolt; Adrian Bolton; Bethanie Brownfield; Gavin Buttimore; Max Cant; Sarah Chakera; Stephanie C. Y. Chan; et al. (CoRR, 2024)