Karol Gregor
16 papers · 2010–2023 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Half π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Diamond π£ Hot Topic Early Bird
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Keyword Champion
π§
Keyword Pioneer
π₯
Mega-Team Β· Squad
π§¬
Topic Evolution
π
Triple Crown
π
Trend Setter
π
Renaissance Researcher
(7)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(93)
Venues
Top co-authors
Research topics
Deep Learning
(12)
Machine Learning
(11)
Core Methods
(10)
Architectures
(8)
Models
(8)
Artificial Intelligence
(6)
Reinforcement Learning
(4)
Core AI Β· Artificial Intelligence
(4)
Learning Types Β· Deep Learning
(4)
Methods
(4)
Learning Types Β· Machine Learning
(3)
Computer Vision
(2)
Analysis
(2)
Bayesian & Probabilistic
(2)
Core AI Β· Computer Vision
(2)
Keywords
generative model
(5)
variational inference
(3)
neural network
(3)
variational autoencoder
(3)
representation learning
(2)
sparse coding
(2)
unsupervised learning
(2)
convolutional neural network
(2)
state representation
(2)
deep generative model
(2)
reinforcement learning
(2)
autoregressive model
(2)
convolutional network
(2)
in-context learning
(1)
attention mechanism
(1)
object detection
(1)
sparse representation
(1)
image generation
(1)
function approximation
(1)
value function
(1)
Papers
Human-Timescale Adaptation in an Open-Ended Task Space
ICML 2023
An Investigation of Model-Free Planning
ICML 2019
Shaping Belief States with Generative Environment Models for RL
NeurIPS 2019
Temporal Difference Variational Auto-Encoder
ICLR 2019
Learning Attractor Dynamics for Generative Memory
NeurIPS 2018
Neural Autoregressive Distribution Estimation
JMLR 2016
One-Shot Generalization in Deep Generative Models
ICML 2016
Towards Conceptual Compression
NeurIPS 2016
DRAW: A Recurrent Neural Network For Image Generation
ICML 2015
MADE: Masked Autoencoder for Distribution Estimation
ICML 2015
Universal Value Function Approximators
ICML 2015
Deep AutoRegressive Networks
ICML 2014
Neural Variational Inference and Learning in Belief Networks
ICML 2014
A lattice filter model of the visual pathway
NeurIPS 2012
Structured sparse coding via lateral inhibition
NeurIPS 2011
Learning Convolutional Feature Hierarchies for Visual Recognition
NeurIPS 2010