Andrew Jaegle
Andrew Jaegle
Research Scientist, DeepMind
Verified email at - Homepage
Cited by
Cited by
Hamiltonian generative networks
P Toth, DJ Rezende, A Jaegle, S Racanière, A Botev, I Higgins
International Conference on Learning Representations (ICLR), 2020
Direct control of visual perception with phase-specific modulation of posterior parietal cortex
A Jaegle, T Ro
Journal of cognitive neuroscience 26 (2), 422-432, 2014
Emergence of invariant representation of vocalizations in the auditory cortex
IM Carruthers, DA Laplagne, A Jaegle, JJ Briguglio, ...
Journal of neurophysiology 114 (5), 2726-2740, 2015
Fast, robust, continuous monocular egomotion computation
A Jaegle, S Phillips, K Daniilidis
2016 IEEE International Conference on Robotics and Automation (ICRA), 773-780, 2016
Population response magnitude variation in inferotemporal cortex predicts image memorability
A Jaegle, V Mehrpour, Y Mohsenzadeh, T Meyer, A Oliva, N Rust
Elife 8, e47596, 2019
Learning what you can do before doing anything
O Rybkin, K Pertsch, KG Derpanis, K Daniilidis, A Jaegle
International Conference on Learning Representations (ICLR), 2019
Visual novelty, curiosity, and intrinsic reward in machine learning and the brain
A Jaegle, V Mehrpour, N Rust
Current opinion in neurobiology 58, 167-174, 2019
Perceiver: General perception with iterative attention
A Jaegle, F Gimeno, A Brock, A Zisserman, O Vinyals, J Carreira
International Conference on Machine Learning (ICML), 2021
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning
K Pertsch, O Rybkin, J Yang, KG Derpanis, K Daniilidis, J Lim, A Jaegle
Learning for Dynamics & Control (L4DC), 2020
Understanding image motion with group representations
A Jaegle, S Phillips, D Ippolito, K Daniilidis
International Conference on Learning Representations (ICLR), 2018
Physically embedded planning problems: New challenges for reinforcement learning
M Mirza, A Jaegle, JJ Hunt, A Guez, S Tunyasuvunakool, A Muldal, ...
arXiv preprint arXiv:2009.05524, 2020
Second order receptive field properties of simple and complex cells support a new standard model of thalamocortical circuitry in V1
M Sedigh-Sarvestani, I Fernandez-Lamo, A Jaegle, MM Taylor
Journal of Neuroscience 34 (34), 11177-11179, 2014
Predicting the Future with Transformational States
A Jaegle, O Rybkin, KG Derpanis, K Daniilidis
arXiv preprint arXiv:1803.09760, 2018
Game Plan: What AI can do for Football, and What Football can do for AI
K Tuyls, S Omidshafiei, P Muller, Z Wang, J Connor, D Hennes, I Graham, ...
Journal of Artificial Intelligence Research 71, 41-88, 2021
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban
P Karkus, M Mirza, A Guez, A Jaegle, T Lillicrap, L Buesing, N Heess, ...
ICLR Workshop "Beyond 'tabula rasa' in reinforcement learning", 2020
Imitation by Predicting Observations
A Jaegle, Y Sulsky, A Ahuja, J Bruce, R Fergus, G Wayne
International Conference on Machine Learning, 4665-4676, 2021
Which priors matter? Benchmarking models for learning latent dynamics
A Botev, A Jaegle, P Wirnsberger, D Hennes, I Higgins
Temporal Difference and Return Optimism in Cooperative Multi-Agent Reinforcement Learning
M Rowland, S Omidshafiei, D Hennes, W Dabney, A Jaegle, P Muller, ...
Adaptive and Learning Agents (ALA) Workshop at AAMAS, 2021
A neural correlate of image memorability in inferotemporal cortex
V Mehrpour, Y Mohsenzadeh, A Jaegle, T Meyer, A Oliva, NC Rust
Journal of Vision 19 (10), 91c-91c, 2019
Codes, functions, and causes: A critique of Brette's conceptual analysis of coding
D Barack, A Jaegle
Behavioral and Brain Sciences 42, 2019
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