Andrew Jaegle
11 papers · 2018–2024 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (22) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§¬
Topic Evolution
ποΈ
Keyword Collector
(55)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(7)
Core Methods
(7)
Artificial Intelligence
(6)
Core AI
(6)
Models
(4)
Computer Vision
(3)
Architectures
(3)
Learning Types Β· Machine Learning
(3)
Analysis
(2)
Learning Types Β· Deep Learning
(2)
Techniques
(2)
Reinforcement Learning
(1)
Applications
(1)
Generation
(1)
Keywords
representation learning
(3)
hamiltonian dynamics
(2)
image reconstruction
(2)
generative modeling
(1)
sequence modeling
(1)
semi-supervised learning
(1)
video prediction
(1)
density estimation
(1)
optical flow estimation
(1)
self-supervised learning
(1)
model evaluation
(1)
multimodal learning
(1)
sequence representation
(1)
inverse reinforcement learning
(1)
video understanding
(1)
imitation learning
(1)
continuous control
(1)
hierarchical model
(1)
transformer architecture
(1)
unsupervised learning
(1)
Papers
SODA: Bottleneck Diffusion Models for Representation Learning
CVPR 2024
General-purpose, long-context autoregressive modeling with Perceiver AR
ICML 2022
Object Discovery and Representation Networks
ECCV 2022
Perceiver IO: A General Architecture for Structured Inputs & Outputs
ICLR 2022
Imitation by Predicting Observations
ICML 2021
Perceiver: General Perception with Iterative Attention
ICML 2021
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
NeurIPS 2021
Hamiltonian Generative Networks
ICLR 2020
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning
L4DC 2020
Learning what you can do before doing anything
ICLR 2019
Understanding image motion with group representations
ICLR 2018