Jaegle, Andrew

15 publications

CVPR 2024 SODA: Bottleneck Diffusion Models for Representation Learning Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner

TMLR 2023 Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task Jannik Kossen, Cătălina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave

TMLR 2023 Transframer: Arbitrary Frame Prediction with Generative Models Charlie Nash, Joao Carreira, Jacob C Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter Battaglia

NeurIPSW 2022 Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task Jannik Kossen, Cătălina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave

ICML 2022 General-Purpose, Long-Context Autoregressive Modeling with Perceiver AR Curtis Hawthorne, Andrew Jaegle, Cătălina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, Joao Carreira, Jesse Engel

ECCV 2022 Object Discovery and Representation Networks Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelović

ICLR 2022 Perceiver IO: A General Architecture for Structured Inputs & Outputs Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J Henaff, Matthew Botvinick, Andrew Zisserman, Oriol Vinyals, Joao Carreira

JAIR 2021 Game Plan: What AI Can Do for Football, and What Football Can Do for AI Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis

ICML 2021 Imitation by Predicting Observations Andrew Jaegle, Yury Sulsky, Arun Ahuja, Jake Bruce, Rob Fergus, Greg Wayne

ICML 2021 Perceiver: General Perception with Iterative Attention Andrew Jaegle, Felix Gimeno, Andy Brock, Oriol Vinyals, Andrew Zisserman, Joao Carreira

NeurIPS 2021 SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision Irina Higgins, Peter Wirnsberger, Andrew Jaegle, Aleksandar Botev

ICLR 2020 Hamiltonian Generative Networks Peter Toth, Danilo Jimenez Rezende, Andrew Jaegle, Sébastien Racanière, Aleksandar Botev, Irina Higgins

L4DC 2020 Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning Karl Pertsch, Oleh Rybkin, Jingyun Yang, Shenghao Zhou, Konstantinos Derpanis, Kostas Daniilidis, Joseph Lim, Andrew Jaegle

ICLR 2019 Learning What You Can Do Before Doing Anything Oleh Rybkin, Karl Pertsch, Konstantinos G. Derpanis, Kostas Daniilidis, Andrew Jaegle

ICLR 2018 Understanding Image Motion with Group Representations Andrew Jaegle, Stephen Phillips, Daphne Ippolito, Kostas Daniilidis