Andrew Jaegle

According to our database1, Andrew Jaegle authored at least 29 papers between 2014 and 2023.

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Bibliography

2023
Transframer: Arbitrary Frame Prediction with Generative Models.
Trans. Mach. Learn. Res., 2023

SODA: Bottleneck Diffusion Models for Representation Learning.
CoRR, 2023

Zorro: the masked multimodal transformer.
CoRR, 2023

2022
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task.
CoRR, 2022

Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods.
CoRR, 2022

Extended Intelligence.
CoRR, 2022

Hierarchical Perceiver.
CoRR, 2022

General-purpose, long-context autoregressive modeling with Perceiver AR.
Proceedings of the International Conference on Machine Learning, 2022

Perceiver IO: A General Architecture for Structured Inputs & Outputs.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Learning Universal Audio Representations.
Proceedings of the IEEE International Conference on Acoustics, 2022

Object Discovery and Representation Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Game Plan: What AI can do for Football, and What Football can do for AI.
J. Artif. Intell. Res., 2021

SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision.
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.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Imitation by Predicting Observations.
Proceedings of the 38th International Conference on Machine Learning, 2021

Perceiver: General Perception with Iterative Attention.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban.
CoRR, 2020

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning.
CoRR, 2020

Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Hamiltonian Generative Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Codes, Functions, and Causes: A Critique of Brette's Conceptual Analysis of Coding.
CoRR, 2019

KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction.
CoRR, 2019

Learning what you can do before doing anything.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction.
CoRR, 2018

Predicting the Future with Transformational States.
CoRR, 2018

Understanding image motion with group representations.
Proceedings of the 6th International Conference on Learning Representations, 2018

2016
Unsupervised learning of image motion by recomposing sequences.
CoRR, 2016

Fast, robust, continuous monocular egomotion computation.
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.
J. Cogn. Neurosci., 2014


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