Karol Gregor

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 29

Top Topics

Unsupervised Learning

Temporal Difference

Top Venues

Publications

Jakob Bauer, Kate Baumli, Feryal M. P. Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M. Zhang
Human-Timescale Adaptation in an Open-Ended Task Space. ICML (2023)
Adaptive Agent Team, Jakob Bauer, Kate Baumli, Satinder Baveja, Feryal M. P. Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei Zhang
Human-Timescale Adaptation in an Open-Ended Task Space. CoRR (2023)
Karol Gregor, Frederic Besse
Self-Organizing Intelligent Matter: A blueprint for an AI generating algorithm. CoRR (2021)
Danilo J. Rezende, Ivo Danihelka, George Papamakarios, Nan Rosemary Ke, Ray Jiang, Theophane Weber, Karol Gregor, Hamza Merzic, Fabio Viola, Jane Wang, Jovana Mitrovic, Frederic Besse, Ioannis Antonoglou, Lars Buesing
Causally Correct Partial Models for Reinforcement Learning. CoRR (2020)
Karol Gregor
Finding online neural update rules by learning to remember. CoRR (2020)
Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord
Shaping Belief States with Generative Environment Models for RL. CoRR (2019)
Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord
Shaping Belief States with Generative Environment Models for RL. NeurIPS (2019)
Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sébastien Racanière, Théophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy P. Lillicrap
An investigation of model-free planning. CoRR (2019)
Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sébastien Racanière, Theophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy P. Lillicrap
An Investigation of Model-Free Planning. ICML (2019)
Karol Gregor, George Papamakarios, Frederic Besse, Lars Buesing, Theophane Weber
Temporal Difference Variational Auto-Encoder. ICLR (2019)
Lars Buesing, Theophane Weber, Sébastien Racanière, S. M. Ali Eslami, Danilo Jimenez Rezende, David P. Reichert, Fabio Viola, Frederic Besse, Karol Gregor, Demis Hassabis, Daan Wierstra
Learning and Querying Fast Generative Models for Reinforcement Learning. CoRR (2018)
Karol Gregor, Frederic Besse
Temporal Difference Variational Auto-Encoder. CoRR (2018)
Yan Wu, Greg Wayne, Karol Gregor, Timothy P. Lillicrap
Learning Attractor Dynamics for Generative Memory. CoRR (2018)
Yan Wu, Gregory Wayne, Karol Gregor, Timothy P. Lillicrap
Learning Attractor Dynamics for Generative Memory. NeurIPS (2018)
Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra
Variational Intrinsic Control. ICLR (Workshop) (2017)
Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra
One-Shot Generalization in Deep Generative Models. ICML (2016)
Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra
Towards Conceptual Compression. CoRR (2016)
Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra
Variational Intrinsic Control. CoRR (2016)
Benigno Uria, Marc-Alexandre Côté, Karol Gregor, Iain Murray, Hugo Larochelle
Neural Autoregressive Distribution Estimation. J. Mach. Learn. Res. 17 (2016)
Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra
Towards Conceptual Compression. NIPS (2016)
Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra
One-Shot Generalization in Deep Generative Models. CoRR (2016)
Kevin Jarrett, Koray Kavukcuoglu, Karol Gregor, Yann LeCun
What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures? CoRR (2016)
Benigno Uria, Marc-Alexandre Côté, Karol Gregor, Iain Murray, Hugo Larochelle
Neural Autoregressive Distribution Estimation. CoRR (2016)
Mathieu Germain, Karol Gregor, Iain Murray, Hugo Larochelle
MADE: Masked Autoencoder for Distribution Estimation. ICML (2015)
Karol Gregor, Ivo Danihelka, Alex Graves, Daan Wierstra
DRAW: A Recurrent Neural Network For Image Generation. CoRR (2015)
Ilya Sutskever, Rafal Józefowicz, Karol Gregor, Danilo Jimenez Rezende, Timothy P. Lillicrap, Oriol Vinyals
Towards Principled Unsupervised Learning. CoRR (2015)
Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra
DRAW: A Recurrent Neural Network For Image Generation. ICML (2015)
Tom Schaul, Daniel Horgan, Karol Gregor, David Silver
Universal Value Function Approximators. ICML (2015)
Mathieu Germain, Karol Gregor, Iain Murray, Hugo Larochelle
MADE: Masked Autoencoder for Distribution Estimation. CoRR (2015)
Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra
Deep AutoRegressive Networks. ICML (2014)
Andriy Mnih, Karol Gregor
Neural Variational Inference and Learning in Belief Networks. ICML (2014)
Andriy Mnih, Karol Gregor
Neural Variational Inference and Learning in Belief Networks. CoRR (2014)
Karol Gregor, Andriy Mnih, Daan Wierstra
Deep AutoRegressive Networks. CoRR (2013)
Arthur Szlam, Karol Gregor, Yann LeCun
Fast approximations to structured sparse coding and applications to object classification CoRR (2012)
Karol Gregor, Dmitri B. Chklovskii
A lattice filter model of the visual pathway. NIPS (2012)
Arthur Szlam, Karol Gregor, Yann LeCun
Fast Approximations to Structured Sparse Coding and Applications to Object Classification. ECCV (5) (2012)
Karol Gregor, Yann LeCun
Learning Representations by Maximizing Compression CoRR (2011)
Karol Gregor, Yann LeCun
Efficient Learning of Sparse Invariant Representations CoRR (2011)
Arthur Szlam, Karol Gregor, Yann LeCun
Structured sparse coding via lateral inhibition. NIPS (2011)
Karol Gregor, Yann LeCun
Learning Fast Approximations of Sparse Coding. ICML (2010)
Karol Gregor, Yann LeCun
Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields CoRR (2010)
Koray Kavukcuoglu, Pierre Sermanet, Y-Lan Boureau, Karol Gregor, Michaël Mathieu, Yann LeCun
Learning Convolutional Feature Hierarchies for Visual Recognition. NIPS (2010)
Karol Gregor, Gregory Griffin
Behavior and performance of the deep belief networks on image classification CoRR (2009)