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2020 – today
- 2024
[i25]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:
Scaling Instructable Agents Across Many Simulated Worlds. CoRR abs/2404.10179 (2024)- 2023
- [c18]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: 1887-1935 - [i24]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 abs/2301.07608 (2023) - 2021
- [i23]Karol Gregor, Frederic Besse:
Self-Organizing Intelligent Matter: A blueprint for an AI generating algorithm. CoRR abs/2101.07627 (2021) - 2020
- [i22]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 abs/2002.02836 (2020) - [i21]Karol Gregor:
Finding online neural update rules by learning to remember. CoRR abs/2003.03124 (2020)
2010 – 2019
- 2019
- [c17]Karol Gregor, George Papamakarios, Frederic Besse, Lars Buesing, Theophane Weber:
Temporal Difference Variational Auto-Encoder. ICLR 2019 - [c16]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: 2464-2473 - [c15]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: 13475-13487 - [i20]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 abs/1901.03559 (2019) - [i19]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 abs/1906.09237 (2019) - 2018
- [c14]Yan Wu, Gregory Wayne, Karol Gregor, Timothy P. Lillicrap:
Learning Attractor Dynamics for Generative Memory. NeurIPS 2018: 9401-9410 - [i18]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 abs/1802.03006 (2018) - [i17]Karol Gregor, Frederic Besse:
Temporal Difference Variational Auto-Encoder. CoRR abs/1806.03107 (2018) - [i16]Yan Wu, Greg Wayne, Karol Gregor, Timothy P. Lillicrap:
Learning Attractor Dynamics for Generative Memory. CoRR abs/1811.09556 (2018) - 2017
- [c13]Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra:
Variational Intrinsic Control. ICLR (Workshop) 2017 - 2016
- [j1]Benigno Uria, Marc-Alexandre Côté, Karol Gregor, Iain Murray, Hugo Larochelle:
Neural Autoregressive Distribution Estimation. J. Mach. Learn. Res. 17: 205:1-205:37 (2016) - [c12]Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra:
One-Shot Generalization in Deep Generative Models. ICML 2016: 1521-1529 - [c11]Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra:
Towards Conceptual Compression. NIPS 2016: 3549-3557 - [i15]Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra:
One-Shot Generalization in Deep Generative Models. CoRR abs/1603.05106 (2016) - [i14]Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra:
Towards Conceptual Compression. CoRR abs/1604.08772 (2016) - [i13]Benigno Uria, Marc-Alexandre Côté, Karol Gregor, Iain Murray, Hugo Larochelle:
Neural Autoregressive Distribution Estimation. CoRR abs/1605.02226 (2016) - [i12]Kevin Jarrett, Koray Kavukcuoglu, Karol Gregor, Yann LeCun:
What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures? CoRR abs/1606.01535 (2016) - [i11]Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra:
Variational Intrinsic Control. CoRR abs/1611.07507 (2016) - 2015
- [c10]Mathieu Germain, Karol Gregor, Iain Murray, Hugo Larochelle:
MADE: Masked Autoencoder for Distribution Estimation. ICML 2015: 881-889 - [c9]Tom Schaul, Daniel Horgan, Karol Gregor, David Silver:
Universal Value Function Approximators. ICML 2015: 1312-1320 - [c8]Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra:
DRAW: A Recurrent Neural Network For Image Generation. ICML 2015: 1462-1471 - [i10]Mathieu Germain, Karol Gregor, Iain Murray, Hugo Larochelle:
MADE: Masked Autoencoder for Distribution Estimation. CoRR abs/1502.03509 (2015) - [i9]Karol Gregor, Ivo Danihelka, Alex Graves, Daan Wierstra:
DRAW: A Recurrent Neural Network For Image Generation. CoRR abs/1502.04623 (2015) - [i8]Ilya Sutskever, Rafal Józefowicz, Karol Gregor, Danilo Jimenez Rezende, Timothy P. Lillicrap, Oriol Vinyals:
Towards Principled Unsupervised Learning. CoRR abs/1511.06440 (2015) - 2014
- [c7]Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra:
Deep AutoRegressive Networks. ICML 2014: 1242-1250 - [c6]Andriy Mnih, Karol Gregor:
Neural Variational Inference and Learning in Belief Networks. ICML 2014: 1791-1799 - [i7]Andriy Mnih, Karol Gregor:
Neural Variational Inference and Learning in Belief Networks. CoRR abs/1402.0030 (2014) - 2013
- [i6]Karol Gregor, Andriy Mnih, Daan Wierstra:
Deep AutoRegressive Networks. CoRR abs/1310.8499 (2013) - 2012
- [c5]Arthur Szlam, Karol Gregor, Yann LeCun:
Fast Approximations to Structured Sparse Coding and Applications to Object Classification. ECCV (5) 2012: 200-213 - [c4]Karol Gregor, Dmitri B. Chklovskii:
A lattice filter model of the visual pathway. NIPS 2012: 1718-1726 - [i5]Arthur Szlam, Karol Gregor, Yann LeCun:
Fast approximations to structured sparse coding and applications to object classification. CoRR abs/1202.6384 (2012) - 2011
- [c3]Arthur Szlam, Karol Gregor, Yann LeCun:
Structured sparse coding via lateral inhibition. NIPS 2011: 1116-1124 - [i4]Karol Gregor, Yann LeCun:
Efficient Learning of Sparse Invariant Representations. CoRR abs/1105.5307 (2011) - [i3]Karol Gregor, Yann LeCun:
Learning Representations by Maximizing Compression. CoRR abs/1108.1169 (2011) - 2010
- [c2]Karol Gregor, Yann LeCun:
Learning Fast Approximations of Sparse Coding. ICML 2010: 399-406 - [c1]Koray Kavukcuoglu, Pierre Sermanet, Y-Lan Boureau, Karol Gregor, Michaël Mathieu, Yann LeCun:
Learning Convolutional Feature Hierarchies for Visual Recognition. NIPS 2010: 1090-1098 - [i2]Karol Gregor, Yann LeCun:
Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields. CoRR abs/1006.0448 (2010)
2000 – 2009
- 2009
- [i1]Karol Gregor, Gregory Griffin:
Behavior and performance of the deep belief networks on image classification. CoRR abs/0912.0717 (2009)
Coauthor Index
aka: Danilo J. Rezende
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