Gregor, Karol

19 publications

ICML 2023 Human-Timescale Adaptation in an Open-Ended Task Space Jakob Bauer, Kate Baumli, Feryal 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

ICML 2019 An Investigation of Model-Free Planning Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sebastien Racaniere, Theophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy Lillicrap

NeurIPS 2019 Shaping Belief States with Generative Environment Models for RL Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aaron van den Oord

ICLR 2019 Temporal Difference Variational Auto-Encoder Karol Gregor, George Papamakarios, Frederic Besse, Lars Buesing, Theophane Weber

NeurIPS 2018 Learning Attractor Dynamics for Generative Memory Yan Wu, Gregory Wayne, Karol Gregor, Timothy Lillicrap

ICLR 2017 Variational Intrinsic Control Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra

JMLR 2016 Neural Autoregressive Distribution Estimation Benigno Uria, Marc-Alexandre Côté, Karol Gregor, Iain Murray, Hugo Larochelle

ICML 2016 One-Shot Generalization in Deep Generative Models Danilo Rezende, Shakir, Ivo Danihelka, Karol Gregor, Daan Wierstra

NeurIPS 2016 Towards Conceptual Compression Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra

ICML 2015 DRAW: A Recurrent Neural Network for Image Generation Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Rezende, Daan Wierstra

ICML 2015 MADE: Masked Autoencoder for Distribution Estimation Mathieu Germain, Karol Gregor, Iain Murray, Hugo Larochelle

ICML 2015 Universal Value Function Approximators Tom Schaul, Daniel Horgan, Karol Gregor, David Silver

ICML 2014 Deep AutoRegressive Networks Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra

ICML 2014 Neural Variational Inference and Learning in Belief Networks Andriy Mnih, Karol Gregor

NeurIPS 2012 A Lattice Filter Model of the Visual Pathway Karol Gregor, Dmitri B. Chklovskii

ECCV 2012 Fast Approximations to Structured Sparse Coding and Applications to Object Classification Arthur Szlam, Karol Gregor, Yann LeCun

NeurIPS 2011 Structured Sparse Coding via Lateral Inhibition Arthur D. Szlam, Karol Gregor, Yann L. Cun

NeurIPS 2010 Learning Convolutional Feature Hierarchies for Visual Recognition Koray Kavukcuoglu, Pierre Sermanet, Y-lan Boureau, Karol Gregor, Michael Mathieu, Yann L. Cun

ICML 2010 Learning Fast Approximations of Sparse Coding Karol Gregor, Yann LeCun