Karol Gregor
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
3
Active years
2010–2023
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICML | Human-Timescale Adaptation in an Open-Ended Task Space. | 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 Rocktschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M. Zhang |
| 2019 | ICLR | Temporal Difference Variational Auto-Encoder. | Karol Gregor, George Papamakarios, Frederic Besse, Lars Buesing, Theophane Weber |
| 2019 | ICML | An Investigation of Model-Free Planning. | Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sbastien Racanire, Theophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy P. Lillicrap |
| 2017 | ICLR | Variational Intrinsic Control. | Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra |
| 2016 | ICML | One-Shot Generalization in Deep Generative Models. | Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra |
| 2015 | ICML | MADE: Masked Autoencoder for Distribution Estimation. | Mathieu Germain, Karol Gregor, Iain Murray, Hugo Larochelle |
| 2015 | ICML | DRAW: A Recurrent Neural Network For Image Generation. | Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra |
| 2015 | ICML | Universal Value Function Approximators. | Tom Schaul, Daniel Horgan, Karol Gregor, David Silver |
| 2014 | ICML | Deep AutoRegressive Networks. | Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra |
| 2014 | ICML | Neural Variational Inference and Learning in Belief Networks. | Andriy Mnih, Karol Gregor |
| 2012 | ECCV | Fast Approximations to Structured Sparse Coding and Applications to Object Classification. | Arthur Szlam, Karol Gregor, Yann LeCun |
| 2010 | ICML | Learning Fast Approximations of Sparse Coding. | Karol Gregor, Yann LeCun |