Danilo Jimenez Rezende
Danilo Jimenez Rezende
Senior Staff Research Scientist at DeepMind
Dirección de correo verificada de google.com - Página principal
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Stochastic backpropagation and approximate inference in deep generative models
DJ Rezende, S Mohamed, D Wierstra
International Conference on Machine Learning, 2014, 2014
31952014
Stochastic backpropagation and approximate inference in deep generative models
DJ Rezende, S Mohamed, D Wierstra
International conference on machine learning, 1278-1286, 2014
30952014
Semi-Supervised Learning with Deep Generative Models
MW Diederik P. Kingma, Shakir Mohamed, Danilo Jimenez Rezende
NIPS2014, 2014
1874*2014
DRAW: A Recurrent Neural Network For Image Generation
K Gregor, I Danihelka, A Graves, D Jimenez Rezende, D Wierstra
arxiv preprint, 2015
15642015
Variational Inference with Normalizing Flows
D Jimenez Rezende, S Mohamed
The 32nd International Conference on Machine Learning, 2015
13222015
Interaction networks for learning about objects, relations and physics
PW Battaglia, R Pascanu, M Lai, D Rezende, K Kavukcuoglu
arXiv preprint arXiv:1612.00222, 2016
6622016
Unsupervised learning of 3d structure from images
D Jimenez Rezende, SM Eslami, S Mohamed, P Battaglia, M Jaderberg, ...
Advances in neural information processing systems 29, 4996-5004, 2016
295*2016
Neural scene representation and rendering
SMA Eslami, DJ Rezende, F Besse, F Viola, AS Morcos, M Garnelo, ...
Science 360 (6394), 1204-1210, 2018
2802018
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
S Mohamed, D Jimenez Rezende
Proceedings of the 29th Conference on Neural Information Processing Systems …, 2015
2372015
Variational inference for monte carlo objectives
A Mnih, D Rezende
International Conference on Machine Learning, 2188-2196, 2016
2142016
One-shot generalization in deep generative models
D Rezende, I Danihelka, K Gregor, D Wierstra
International Conference on Machine Learning, 1521-1529, 2016
2072016
Imagination-augmented agents for deep reinforcement learning
S Racanière, T Weber, DP Reichert, L Buesing, A Guez, D Rezende, ...
Proceedings of the 31st International Conference on Neural Information …, 2017
1962017
Conditional neural processes
M Garnelo, D Rosenbaum, C Maddison, T Ramalho, D Saxton, ...
International Conference on Machine Learning, 1704-1713, 2018
1892018
Towards conceptual compression
K Gregor, F Besse, D Jimenez Rezende, I Danihelka, D Wierstra
Advances In Neural Information Processing Systems 29, 3549-3557, 2016
1882016
Imagination-augmented agents for deep reinforcement learning
T Weber, S Racanière, DP Reichert, L Buesing, A Guez, DJ Rezende, ...
arXiv preprint arXiv:1707.06203, 2017
1712017
Neural Processes
M Garnelo, J Schwarz, D Rosenbaum, F Viola, DJ Rezende, SM Eslami, ...
arXiv preprint arXiv:1807.01622, 2018
1642018
Normalizing Flows for Probabilistic Modeling and Inference
G Papamakarios, E Nalisnick, DJ Rezende, S Mohamed, ...
arXiv preprint arXiv:1912.02762, 2019
1612019
A probabilistic u-net for segmentation of ambiguous images
S Kohl, B Romera-Paredes, C Meyer, J De Fauw, JR Ledsam, ...
Advances in neural information processing systems, 6965-6975, 2018
1532018
Variational Intrinsic Control
K Gregor, DJ Rezende, D Wierstra
arXiv preprint arXiv:1611.07507, 2016
1212016
Towards a Definition of Disentangled Representations
I Higgins, D Amos, D Pfau, S Racaniere, L Matthey, D Rezende, ...
arXiv preprint arXiv:1812.02230, 2018
1082018
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Artículos 1–20