Andrew Jaegle

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 41

Top Topics

Planning Problems

Top Venues

Publications

Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. Trans. Mach. Learn. Res. 2023 (2023)
Adrià Recasens, Jason Lin, João Carreira, Andrew Jaegle, Luyu Wang, Jean-Baptiste Alayrac, Pauline Luc, Antoine Miech, Lucas Smaira, Ross Hemsley, Andrew Zisserman
Zorro: the masked multimodal transformer. CoRR (2023)
Charlie Nash, João Carreira, Jacob C. Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia
Transframer: Arbitrary Frame Prediction with Generative Models. Trans. Mach. Learn. Res. 2023 (2023)
Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner
SODA: Bottleneck Diffusion Models for Representation Learning. CoRR (2023)
Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord
Towards Learning Universal Audio Representations. ICASSP (2022)
Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira
Perceiver IO: A General Architecture for Structured Inputs & Outputs. ICLR (2022)
João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle
Hierarchical Perceiver. CoRR (2022)
Skanda Koppula, Yazhe Li, Evan Shelhamer, Andrew Jaegle, Nikhil Parthasarathy, Relja Arandjelovic, João Carreira, Olivier J. Hénaff
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods. CoRR (2022)
David L. Barack, Andrew Jaegle
Extended Intelligence. CoRR (2022)
Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic
Object discovery and representation networks. CoRR (2022)
Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. CoRR (2022)
Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
General-purpose, long-context autoregressive modeling with Perceiver AR. CoRR (2022)
Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic
Object Discovery and Representation Networks. ECCV (27) (2022)
Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
General-purpose, long-context autoregressive modeling with Perceiver AR. ICML (2022)
Charlie Nash, João Carreira, Jacob Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia
Transframer: Arbitrary Frame Prediction with Generative Models. CoRR (2022)
Aleksandar Botev, Andrew Jaegle, Peter Wirnsberger, Daniel Hennes, Irina Higgins
Which priors matter? Benchmarking models for learning latent dynamics. NeurIPS Datasets and Benchmarks (2021)
Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord
Towards Learning Universal Audio Representations. CoRR (2021)
Andrew Jaegle, Yury Sulsky, Arun Ahuja, Jake Bruce, Rob Fergus, Greg Wayne
Imitation by Predicting Observations. CoRR (2021)
Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira
Perceiver IO: A General Architecture for Structured Inputs & Outputs. CoRR (2021)
Irina Higgins, Peter Wirnsberger, Andrew Jaegle, Aleksandar Botev
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision. CoRR (2021)
Andrew Jaegle, Felix Gimeno, Andy Brock, Oriol Vinyals, Andrew Zisserman, João Carreira
Perceiver: General Perception with Iterative Attention. ICML (2021)
Irina Higgins, Peter Wirnsberger, Andrew Jaegle, Aleksandar Botev
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision. NeurIPS (2021)
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
Game Plan: What AI can do for Football, and What Football can do for AI. J. Artif. Intell. Res. 71 (2021)
Andrew Jaegle, Felix Gimeno, Andrew Brock, Andrew Zisserman, Oriol Vinyals, João Carreira
Perceiver: General Perception with Iterative Attention. CoRR (2021)
Aleksandar Botev, Andrew Jaegle, Peter Wirnsberger, Daniel Hennes, Irina Higgins
Which priors matter? Benchmarking models for learning latent dynamics. CoRR (2021)
Andrew Jaegle, Yury Sulsky, Arun Ahuja, Jake Bruce, Rob Fergus, Greg Wayne
Imitation by Predicting Observations. ICML (2021)
Péter Karkus, Mehdi Mirza, Arthur Guez, Andrew Jaegle, Timothy P. Lillicrap, Lars Buesing, Nicolas Heess, Theophane Weber
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban. CoRR (2020)
Karl Pertsch, Oleh Rybkin, Jingyun Yang, Shenghao Zhou, Konstantinos G. Derpanis, Kostas Daniilidis, Joseph J. Lim, Andrew Jaegle
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning. L4DC (2020)
Mehdi Mirza, Andrew Jaegle, Jonathan J. Hunt, Arthur Guez, Saran Tunyasuvunakool, Alistair Muldal, Théophane Weber, Péter Karkus, Sébastien Racanière, Lars Buesing, Timothy P. Lillicrap, Nicolas Heess
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning. CoRR (2020)
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
Game Plan: What AI can do for Football, and What Football can do for AI. CoRR (2020)
Peter Toth, Danilo J. Rezende, Andrew Jaegle, Sébastien Racanière, Aleksandar Botev, Irina Higgins
Hamiltonian Generative Networks. ICLR (2020)
David Barack, Andrew Jaegle
Codes, Functions, and Causes: A Critique of Brette's Conceptual Analysis of Coding. CoRR (2019)
Karl Pertsch, Oleh Rybkin, Jingyun Yang, Konstantinos G. Derpanis, Joseph J. Lim, Kostas Daniilidis, Andrew Jaegle
KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction. CoRR (2019)
Peter Toth, Danilo Jimenez Rezende, Andrew Jaegle, Sébastien Racanière, Aleksandar Botev, Irina Higgins
Hamiltonian Generative Networks. CoRR (2019)
Oleh Rybkin, Karl Pertsch, Konstantinos G. Derpanis, Kostas Daniilidis, Andrew Jaegle
Learning what you can do before doing anything. ICLR (Poster) (2019)
Andrew Jaegle, Stephen Phillips, Daphne Ippolito, Kostas Daniilidis
Understanding image motion with group representations. ICLR (Poster) (2018)
Andrew Jaegle, Oleh Rybkin, Konstantinos G. Derpanis, Kostas Daniilidis
Predicting the Future with Transformational States. CoRR (2018)
Oleh Rybkin, Karl Pertsch, Andrew Jaegle, Konstantinos G. Derpanis, Kostas Daniilidis
Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction. CoRR (2018)
Andrew Jaegle, Stephen Phillips, Kostas Daniilidis
Fast, robust, continuous monocular egomotion computation. ICRA (2016)
Andrew Jaegle, Stephen Phillips, Daphne Ippolito, Kostas Daniilidis
Unsupervised learning of image motion by recomposing sequences. CoRR (2016)
Andrew Jaegle, Stephen Phillips, Kostas Daniilidis
Fast, Robust, Continuous Monocular Egomotion Computation. CoRR (2016)
Andrew Jaegle, Tony Ro
Direct Control of Visual Perception with Phase-specific Modulation of Posterior Parietal Cortex. J. Cogn. Neurosci. 26 (2) (2014)