Karol Gregor - RankMe

44 papers A* 11Journal 26Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Scaling Instructable Agents Across Many Simulated Worlds. CoRR SIMA Team, Maria Abi Raad, Arun Ahuja, Catarina Barros, Frederic Besse, Andrew Bolt, Adrian Bolton, Bethanie Brownfield, Gavin Buttimore, Max Cant, Sarah Chakera, Stephanie C. Y. Chan, Jeff Clune, Adrian Collister, Vikki Copeman, Alex Cullum, Ishita Dasgupta, Dario de Cesare, Julia Di Trapani, Yani Donchev, Emma Dunleavy, Martin Engelcke, Ryan Faulkner, Frankie Garcia, Charles Gbadamosi, Zhitao Gong, Lucy Gonzalez, Kshitij Gupta, Karol Gregor, Arne Olav Hallingstad, Tim Harley, Sam Haves, Felix Hill, Ed Hirst, Drew A. Hudson, Jony Hudson, Steph Hughes-Fitt, Danilo J. Rezende, Mimi Jasarevic, Laura Kampis, Nan Rosemary Ke, Thomas Keck, Junkyung Kim, Oscar Knagg, Kavya Kopparapu, Andrew K. Lampinen, Shane Legg, Alexander Lerchner, Marjorie Limont, Yulan Liu, Maria Loks-Thompson, Joseph Marino, Kathryn Martin Cussons, Loic Matthey, Siobhan Mcloughlin, Piermaria Mendolicchio, Hamza Merzic, Anna Mitenkova, Alexandre Moufarek, Valéria Oliveira, Yanko Gitahy Oliveira, Hannah Openshaw, Renke Pan, Aneesh Pappu, Alex Platonov, Ollie Purkiss, David P. Reichert, John Reid, Pierre Harvey Richemond, Tyson Roberts, Giles Ruscoe, Jaume Sanchez Elias, Tasha Sandars, Daniel P. Sawyer, Tim Scholtes, Guy Simmons, Daniel Slater, Hubert Soyer, Heiko Strathmann, Peter Stys, Allison C. Tam, Denis Teplyashin, Tayfun Terzi, Davide Vercelli, Bojan Vujatovic, Marcus Wainwright, Jane X. Wang, Zhengdong Wang, Daan Wierstra, Duncan Williams, Nathaniel Wong, Sarah York, Nick Young
2023	A*	`conf`	Human-Timescale Adaptation in an Open-Ended Task Space. ICML 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
2023	J	`jnl`	Human-Timescale Adaptation in an Open-Ended Task Space. CoRR 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
2021	J	`jnl`	Self-Organizing Intelligent Matter: A blueprint for an AI generating algorithm. CoRR Karol Gregor, Frederic Besse
2020	J	`jnl`	Causally Correct Partial Models for Reinforcement Learning. CoRR 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
2020	J	`jnl`	Finding online neural update rules by learning to remember. CoRR Karol Gregor
2019	A*	`conf`	An Investigation of Model-Free Planning. ICML 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
2019	J	`jnl`	An investigation of model-free planning. CoRR 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
2019	A*	`conf`	Shaping Belief States with Generative Environment Models for RL. NeurIPS Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord
2019	J	`jnl`	Shaping Belief States with Generative Environment Models for RL. CoRR Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord
2019	—	`conf`	Temporal Difference Variational Auto-Encoder. ICLR Karol Gregor, George Papamakarios, Frederic Besse, Lars Buesing, Theophane Weber
2018	A*	`conf`	Learning Attractor Dynamics for Generative Memory. NeurIPS Yan Wu, Gregory Wayne, Karol Gregor, Timothy P. Lillicrap
2018	J	`jnl`	Learning Attractor Dynamics for Generative Memory. CoRR Yan Wu, Greg Wayne, Karol Gregor, Timothy P. Lillicrap
2018	J	`jnl`	Learning and Querying Fast Generative Models for Reinforcement Learning. CoRR 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
2018	J	`jnl`	Temporal Difference Variational Auto-Encoder. CoRR Karol Gregor, Frederic Besse
2017	—	`conf`	Variational Intrinsic Control. ICLR (Workshop) Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra
2016	J	`jnl`	Neural Autoregressive Distribution Estimation. CoRR Benigno Uria, Marc-Alexandre Côté, Karol Gregor, Iain Murray, Hugo Larochelle
2016	J	`jnl`	Neural Autoregressive Distribution Estimation. J. Mach. Learn. Res. Benigno Uria, Marc-Alexandre Côté, Karol Gregor, Iain Murray, Hugo Larochelle
2016	A*	`conf`	One-Shot Generalization in Deep Generative Models. ICML Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra
2016	J	`jnl`	One-Shot Generalization in Deep Generative Models. CoRR Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra
2016	—	`conf`	Towards Conceptual Compression. NIPS Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra
2016	J	`jnl`	Towards Conceptual Compression. CoRR Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra
2016	J	`jnl`	Variational Intrinsic Control. CoRR Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra
2016	J	`jnl`	What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures? CoRR Kevin Jarrett, Koray Kavukcuoglu, Karol Gregor, Yann LeCun
2015	A*	`conf`	DRAW: A Recurrent Neural Network For Image Generation. ICML Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra
2015	J	`jnl`	DRAW: A Recurrent Neural Network For Image Generation. CoRR Karol Gregor, Ivo Danihelka, Alex Graves, Daan Wierstra
2015	A*	`conf`	MADE: Masked Autoencoder for Distribution Estimation. ICML Mathieu Germain, Karol Gregor, Iain Murray, Hugo Larochelle
2015	J	`jnl`	MADE: Masked Autoencoder for Distribution Estimation. CoRR Mathieu Germain, Karol Gregor, Iain Murray, Hugo Larochelle
2015	J	`jnl`	Towards Principled Unsupervised Learning. CoRR Ilya Sutskever, Rafal Józefowicz, Karol Gregor, Danilo Jimenez Rezende, Timothy P. Lillicrap, Oriol Vinyals
2015	A*	`conf`	Universal Value Function Approximators. ICML Tom Schaul, Daniel Horgan, Karol Gregor, David Silver
2014	A*	`conf`	Deep AutoRegressive Networks. ICML Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra
2014	A*	`conf`	Neural Variational Inference and Learning in Belief Networks. ICML Andriy Mnih, Karol Gregor
2014	J	`jnl`	Neural Variational Inference and Learning in Belief Networks. CoRR Andriy Mnih, Karol Gregor
2013	J	`jnl`	Deep AutoRegressive Networks. CoRR Karol Gregor, Andriy Mnih, Daan Wierstra
2012	—	`conf`	A lattice filter model of the visual pathway. NIPS Karol Gregor, Dmitri B. Chklovskii
2012	—	`conf`	Fast Approximations to Structured Sparse Coding and Applications to Object Classification. ECCV (5) Arthur Szlam, Karol Gregor, Yann LeCun
2012	J	`jnl`	Fast approximations to structured sparse coding and applications to object classification CoRR Arthur Szlam, Karol Gregor, Yann LeCun
2011	J	`jnl`	Efficient Learning of Sparse Invariant Representations CoRR Karol Gregor, Yann LeCun
2011	J	`jnl`	Learning Representations by Maximizing Compression CoRR Karol Gregor, Yann LeCun
2011	—	`conf`	Structured sparse coding via lateral inhibition. NIPS Arthur Szlam, Karol Gregor, Yann LeCun
2010	J	`jnl`	Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields CoRR Karol Gregor, Yann LeCun
2010	—	`conf`	Learning Convolutional Feature Hierarchies for Visual Recognition. NIPS Koray Kavukcuoglu, Pierre Sermanet, Y-Lan Boureau, Karol Gregor, Michaël Mathieu, Yann LeCun
2010	A*	`conf`	Learning Fast Approximations of Sparse Coding. ICML Karol Gregor, Yann LeCun
2009	J	`jnl`	Behavior and performance of the deep belief networks on image classification CoRR Karol Gregor, Gregory Griffin