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Implicit Riemannian Concave Potential Maps


Oct 04, 2021
Danilo J. Rezende, Sébastien Racanière


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Flow-based sampling for fermionic lattice field theories


Jun 10, 2021
Michael S. Albergo, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Julian M. Urban, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Phiala E. Shanahan

* 26 pages, 5 figures 

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NeRF-VAE: A Geometry Aware 3D Scene Generative Model


Apr 01, 2021
Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Soňa Mokrá, Danilo J. Rezende

* 17 pages, 15 figures, under review 

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Amortized learning of neural causal representations


Aug 21, 2020
Nan Rosemary Ke, Jane. X. Wang, Jovana Mitrovic, Martin Szummer, Danilo J. Rezende

* ICLR 2020 causal learning for decision making workshop 

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Causally Correct Partial Models for Reinforcement Learning


Feb 07, 2020
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


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Towards Interpretable Reinforcement Learning Using Attention Augmented Agents


Jun 06, 2019
Alex Mott, Daniel Zoran, Mike Chrzanowski, Daan Wierstra, Danilo J. Rezende


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Consistent Jumpy Predictions for Videos and Scenes


Oct 02, 2018
Ananya Kumar, S. M. Ali Eslami, Danilo J. Rezende, Marta Garnelo, Fabio Viola, Edward Lockhart, Murray Shanahan


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Learning models for visual 3D localization with implicit mapping


Jul 04, 2018
Dan Rosenbaum, Frederic Besse, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami


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Neural Processes


Jul 04, 2018
Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami, Yee Whye Teh


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Conditional Neural Processes


Jul 04, 2018
Marta Garnelo, Dan Rosenbaum, Chris J. Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo J. Rezende, S. M. Ali Eslami


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Beyond Greedy Ranking: Slate Optimization via List-CVAE


May 24, 2018
Ray Jiang, Sven Gowal, Timothy A. Mann, Danilo J. Rezende

* Preliminary work. Under review by the Neural Information Processing Systems (NIPS) 2018 

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Variational Memory Addressing in Generative Models


Sep 21, 2017
Jörg Bornschein, Andriy Mnih, Daniel Zoran, Danilo J. Rezende


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Generative Temporal Models with Memory


Feb 21, 2017
Mevlana Gemici, Chia-Chun Hung, Adam Santoro, Greg Wayne, Shakir Mohamed, Danilo J. Rezende, David Amos, Timothy Lillicrap


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Variational inference for Monte Carlo objectives


Jun 01, 2016
Andriy Mnih, Danilo J. Rezende

* Appears in Proceedings of the 33rd International Conference on Machine Learning (ICML), New York, NY, USA, 2016. JMLR: W&CP volume 48 

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Semi-Supervised Learning with Deep Generative Models


Oct 31, 2014
Diederik P. Kingma, Danilo J. Rezende, Shakir Mohamed, Max Welling

* To appear in the proceedings of Neural Information Processing Systems (NIPS) 2014 

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