Karol Gregor

Computer Science · Physical Sciences

23h-index8.8kcitations54works4.52yr avg
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Research Topics

Reinforcement Learning in Robotics(12), Generative Adversarial Networks and Image Synthesis(11), Domain Adaptation and Few-Shot Learning(9), Advanced Image and Video Retrieval Techniques(8), Physics of Superconductivity and Magnetism(7)

Publications54 total

SIMA 2: A Generalist Embodied Agent for Virtual Worlds
arXiv (Cornell University)·2025Open Access
Scaling Instructable Agents Across Many Simulated Worlds
arXiv (Cornell University)·2024· 9 citedOpen Access
Human-Timescale Adaptation in an Open-Ended Task Space
arXiv (Cornell University)·2023· 22 citedOpen Access
Self-Organizing Intelligent Matter: A blueprint for an AI generating algorithm
arXiv (Cornell University)·2021· 5 citedOpen Access
Finding online neural update rules by learning to remember
arXiv (Cornell University)·2020· 6 citedOpen Access
Causally Correct Partial Models for Reinforcement Learning
arXiv (Cornell University)·2020· 16 citedOpen Access
Shaping Belief States with Generative Environment Models for RL
Neural Information Processing Systems·2019· 49 cited
Shaping Belief States with Generative Environment Models for RL
arXiv (Cornell University)·2019· 16 citedOpen Access
An investigation of model-free planning
arXiv (Cornell University)·2019Open Access
Learning Attractor Dynamics for Generative Memory
arXiv (Cornell University)·2018· 12 citedOpen Access
Neural scene representation and rendering
Science·2018· 532 cited
Temporal Difference Variational Auto-Encoder
arXiv (Cornell University)·2018· 14 citedOpen Access
Learning Dynamic State Abstractions for Model-Based Reinforcement Learning
2018· 1 cited
Learning and Querying Fast Generative Models for Reinforcement Learning
arXiv (Cornell University)·2018· 70 citedOpen Access
Variational Intrinsic Control
International Conference on Learning Representations·2016· 42 cited
Variational Intrinsic Control
arXiv (Cornell University)·2016· 180 citedOpen Access
What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures?
arXiv (Cornell University)·2016Open Access
Neural Autoregressive Distribution Estimation
Edinburgh Research Explorer (University of Edinburgh)·2016· 21 citedOpen Access
Towards Conceptual Compression
Neural Information Processing Systems·2016· 109 cited
Towards Conceptual Compression
arXiv (Cornell University)·2016· 105 citedOpen Access
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Frequent Co-authors

Danilo Jimenez Rezende(15), Daan Wierstra(11), Frederic Besse(11), Yann LeCun(8), Ivo Danihelka(8), Théophane Weber(6), Lars Buesing(5), Iain Murray(4), Hugo Larochelle(4), Fabio Viola(4), David Reichert(4), Koray Kavukcuoglu(4), Hamza Merzić(4), Olexei I. Motrunich(4), Mathieu Germain(3), S. M. Ali Eslami(3), Demis Hassabis(3), Y-Lan Boureau(3), Sébastien Racanière(3), Arthur Szlam(3)