Karol Gregor
16 papers · 2010–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (12) π£ Hot Topic Early Bird
π
Renaissance Researcher
(6)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Triple Crown
π
Keyword Champion
(2)
π₯
Mega-Team
(27)
π§¬
Topic Evolution
π
Trend Setter
π
Century Club
(16)
ποΈ
Keyword Collector
(83)
Conferences
ICML (8)
NIPS (6)
ICLR (1)
JMLR (1)
Top co-authors
Research topics
Keywords
generative model
(5)
variational inference
(3)
neural network
(3)
reinforcement learning
(2)
representation learning
(2)
convolutional neural network
(2)
convolutional network
(2)
autoregressive model
(2)
unsupervised learning
(2)
deep generative model
(2)
sparse coding
(2)
in-context learning
(1)
attention mechanism
(1)
supervised learning
(1)
sparse representation
(1)
image generation
(1)
function approximation
(1)
belief state
(1)
density estimation
(1)
value function
(1)
Papers
Human-Timescale Adaptation in an Open-Ended Task Space
ICML 2023
An Investigation of Model-Free Planning
ICML 2019
Temporal Difference Variational Auto-Encoder
ICLR 2019
Shaping Belief States with Generative Environment Models for RL
NIPS 2019
Learning Attractor Dynamics for Generative Memory
NIPS 2018
Towards Conceptual Compression
NIPS 2016
One-Shot Generalization in Deep Generative Models
ICML 2016
Neural Autoregressive Distribution Estimation
JMLR 2016
Universal Value Function Approximators
ICML 2015
MADE: Masked Autoencoder for Distribution Estimation
ICML 2015
DRAW: A Recurrent Neural Network For Image Generation
ICML 2015
Neural Variational Inference and Learning in Belief Networks
ICML 2014
Deep AutoRegressive Networks
ICML 2014
A lattice filter model of the visual pathway
NIPS 2012
Structured sparse coding via lateral inhibition
NIPS 2011
Learning Convolutional Feature Hierarchies for Visual Recognition
NIPS 2010