Andrew Jaegle

CoRR, 2023

2022

Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods.

[BibT_eX]

[DOI]

CoRR, 2022

Extended Intelligence.

[BibT_eX]

[DOI]

David L. Barack

CoRR, 2022

Hierarchical Perceiver.

[BibT_eX]

[DOI]

CoRR, 2022

General-purpose, long-context autoregressive modeling with Perceiver AR.

[BibT_eX]

[DOI]

João Carreira

Jesse H. Engel

Proceedings of the International Conference on Machine Learning, 2022

Perceiver IO: A General Architecture for Structured Inputs & Outputs.

[BibT_eX]

[DOI]

Sebastian Borgeaud

Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Learning Universal Audio Representations.

[BibT_eX]

[DOI]

Sander Dieleman

João Carreira

Aäron van den Oord

Proceedings of the IEEE International Conference on Acoustics, 2022

Object Discovery and Representation Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Game Plan: What AI can do for Football, and What Football can do for AI.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2021

SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Which priors matter? Benchmarking models for learning latent dynamics.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Imitation by Predicting Observations.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Perceiver: General Perception with Iterative Attention.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban.

[BibT_eX]

[DOI]

CoRR, 2020

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning.

[BibT_eX]

[DOI]

Saran Tunyasuvunakool

CoRR, 2020

Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning.

[BibT_eX]

[DOI]

Joseph J. Lim

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Hamiltonian Generative Networks.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Codes, Functions, and Causes: A Critique of Brette's Conceptual Analysis of Coding.

[BibT_eX]

[DOI]

David L. Barack

CoRR, 2019

KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction.

[BibT_eX]

[DOI]

Karl Pertsch

Jingyun Yang

Joseph J. Lim

CoRR, 2019

Learning what you can do before doing anything.

[BibT_eX]

[DOI]

Karl Pertsch

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction.

[BibT_eX]

[DOI]

Karl Pertsch

CoRR, 2018

Predicting the Future with Transformational States.

[BibT_eX]

[DOI]

CoRR, 2018

Understanding image motion with group representations.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

2016

Unsupervised learning of image motion by recomposing sequences.

[BibT_eX]

[DOI]

CoRR, 2016

Fast, robust, continuous monocular egomotion computation.

[BibT_eX]

[DOI]

Stephen Phillips

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2014

Direct Control of Visual Perception with Phase-specific Modulation of Posterior Parietal Cortex.

[BibT_eX]

[DOI]