KG
Karol Gregor
cs.LGstat.MLcs.AIcs.NEcs.CVcond-mat.str-elcond-mat.dis-nncs.ROcond-mat.stat-mechcond-mat.supr-con
On Valency
published · living versionsW_hacnwnyg·v1 · currentpublished
DRAW: A Recurrent Neural Network For Image Generation
with Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra
1 version
Preprints & journals
33 papers in the corpus · 2004–2025SIMA 2: A Generalist Embodied Agent for Virtual Worlds2512.04797v1 · SIMA team: Adrian Bolton, Alexander Lerchner, Alexandra Cordell et al.2025 · 0 citationsarXiv
Scaling Instructable Agents Across Many Simulated Worlds2404.10179v3 · SIMA Team, Maria Abi Raad, Arun Ahuja et al.2024 · 9 citationsarXiv
Human-Timescale Adaptation in an Open-Ended Task Space2301.07608v1 · Adaptive Agent Team, Jakob Bauer, Kate Baumli et al.2023 · 19 citationsarXiv
Self-Organizing Intelligent Matter: A blueprint for an AI generating algorithm2101.07627v1 · Karol Gregor, Frederic Besse2021 · 5 citationsarXiv
Finding online neural update rules by learning to remember2003.03124v1 · Karol Gregor2020 · 5 citationsarXiv
Causally Correct Partial Models for Reinforcement Learning2002.02836v1 · Danilo J. Rezende, Ivo Danihelka, George Papamakarios et al.2020 · 16 citationsarXiv
Shaping Belief States with Generative Environment Models for RL1906.09237v2 · Karol Gregor, Danilo Jimenez Rezende, Frederic Besse et al.2019 · 54 citationsarXiv
An investigation of model-free planning1901.03559v2 · Arthur Guez, Mehdi Mirza, Karol Gregor et al.2019 · 18 citationsarXiv
Learning Attractor Dynamics for Generative Memory1811.09556v1 · Yan Wu, Greg Wayne, Karol Gregor et al.2018 · 11 citationsarXiv
Neural scene representation and rendering.29903970 · Eslami, S M Ali, Jimenez Rezende, Danilo, Besse, Frederic et al.2018 · 497 citationsScience (New York, N.Y.). 2018;360(6394):1204-1210
Temporal Difference Variational Auto-Encoder1806.03107v3 · Karol Gregor, George Papamakarios, Frederic Besse et al.2018 · 46 citationsarXiv
Learning and Querying Fast Generative Models for Reinforcement Learning1802.03006v1 · Lars Buesing, Theophane Weber, Sebastien Racaniere et al.2018 · 69 citationsarXiv
Variational Intrinsic Control1611.07507v1 · Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra2016 · 213 citationsarXiv
What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures?1606.01535v1 · Kevin Jarrett, Koray Kvukcuoglu, Karol Gregor et al.2016 · 0 citationsarXiv
Neural Autoregressive Distribution Estimation1605.02226v3 · Benigno Uria, Marc-Alexandre Cot'e, Karol Gregor et al.2016 · 218 citationsarXiv
Towards Conceptual Compression1604.08772v1 · Karol Gregor, Frederic Besse, Danilo Jimenez Rezende et al.2016 · 120 citationsarXiv
One-Shot Generalization in Deep Generative Models1603.05106v2 · Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka et al.2016 · 114 citationsarXiv
Towards Principled Unsupervised Learning1511.06440v2 · Ilya Sutskever, Rafal Jozefowicz, Karol Gregor et al.2015 · 24 citationsarXiv
DRAW: A Recurrent Neural Network For Image Generation1502.04623v2 · Karol Gregor, Ivo Danihelka, Alex Graves et al.2015 · 1,482 citationsarXivon Valency
MADE: Masked Autoencoder for Distribution Estimation1502.03509v2 · Mathieu Germain, Karol Gregor, Iain Murray et al.2015 · 512 citationsProceedings of the 32nd International Conference on Machine Learning, JMLR W&CP 37:881-889, 2015
Neural Variational Inference and Learning in Belief Networks1402.0030v2 · Andriy Mnih, Karol Gregor2014 · 237 citationsProceedings of the 31st International Conference on Machine Learning (ICML), JMLR: W&CP volume 32, 2014 pgs 1791-1799
Deep AutoRegressive Networks1310.8499v2 · Karol Gregor, Ivo Danihelka, Andriy Mnih et al.2013 · 151 citationsKarol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra. Deep AutoRegressive Networks. In Proceedings of the 31st International Conference on Machine Learning (ICML), JMLR: W&CP volume 32, 2014
Fast approximations to structured sparse coding and applications to object classification1202.6384v1 · Arthur Szlam, Karol Gregor, Yann LeCun2012 · 42 citationsarXiv
Learning Representations by Maximizing Compression1108.1169v1 · Karol Gregor, Yann LeCun2011 · 8 citationsarXiv
Efficient Learning of Sparse Invariant Representations1105.5307v1 · Karol Gregor, Yann LeCun2011 · 4 citationsarXiv
Diagnosing Deconfinement and Topological Order1011.4187v1 · K. Gregor, David A. Huse, R. Moessner et al.2010 · 81 citationsNew J.Phys.13:025009,2011
Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields1006.0448v1 · Karo Gregor, Yann LeCun2010 · 57 citationsarXivon Valency
Behavior and performance of the deep belief networks on image classification0912.0717v1 · Karol Gregor, Gregory Griffin2009 · 1 citationarXiv
Impurities in triangular lattice spin 1/2 antiferromagnet0805.1393v1 · Karol Gregor, Olexei I. Motrunich2008 · 16 citationsarXiv
Studies of non-magnetic impurities in the spin-1/2 Kagome Antiferromagnet0802.0299v1 · Karol Gregor, Olexei I. Motrunich2008 · 23 citationsarXiv
Spin solid phases of spin 1 and spin 3/2 antiferromagnets on a cubic lattice0704.0821v1 · Karol Gregor, Olexei I. Motrunich2007 · 7 citationsarXiv
Spin-nematic order in the frustrated pyrochlore-lattice quantum rotor modelcond-mat/0511582v1 · Karol Gregor, David A. Huse, S. L. Sondhi2005 · 3 citationsPhys. Rev. B 74, 024425 (2006)
Dipolar spin correlations in classical pyrochlore magnets.15525027 · Isakov, S V, Gregor, K, Moessner, R et al.2004 · 284 citationsPhysical review letters. 2004;93(16):167204
Career total: 51 works. 33 are in this corpus.
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