关注
Danilo J. Rezende
Danilo J. Rezende
其他姓名Danilo Jimenez Rezende
Director at DeepMind
在 google.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Stochastic backpropagation and approximate inference in deep generative models
DJ Rezende, S Mohamed, D Wierstra
International Conference on Machine Learning, 2014, 2014
58912014
Variational Inference with Normalizing Flows
D Jimenez Rezende, S Mohamed
The 32nd International Conference on Machine Learning, 2015
42152015
Semi-Supervised Learning with Deep Generative Models
MW Diederik P. Kingma, Shakir Mohamed, Danilo Jimenez Rezende
NIPS2014, 2014
3514*2014
DRAW: A Recurrent Neural Network For Image Generation
K Gregor, I Danihelka, A Graves, D Jimenez Rezende, D Wierstra
arxiv preprint, 2015
24672015
Interaction networks for learning about objects, relations and physics
P Battaglia, R Pascanu, M Lai, D Jimenez Rezende
Advances in neural information processing systems 29, 2016
16342016
Normalizing Flows for Probabilistic Modeling and Inference
G Papamakarios, E Nalisnick, DJ Rezende, S Mohamed, ...
Journal of Machine Learning Research 22 (57), 1-64, 2021
15322021
Conditional neural processes
M Garnelo, D Rosenbaum, C Maddison, T Ramalho, D Saxton, ...
International Conference on Machine Learning, 1704-1713, 2018
7442018
Neural scene representation and rendering
SMA Eslami, D Jimenez Rezende, F Besse, F Viola, AS Morcos, ...
Science 360 (6394), 1204-1210, 2018
7082018
Neural Processes
M Garnelo, J Schwarz, D Rosenbaum, F Viola, DJ Rezende, SM Eslami, ...
arXiv preprint arXiv:1807.01622, 2018
5872018
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
5812018
Towards a Definition of Disentangled Representations
I Higgins, D Amos, D Pfau, S Racaniere, L Matthey, D Rezende, ...
arXiv preprint arXiv:1812.02230, 2018
5232018
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
S Mohamed, D Jimenez Rezende
Proceedings of the 29th Conference on Neural Information Processing Systems …, 2015
4542015
Imagination-augmented agents for deep reinforcement learning
S Racanière, T Weber, D Reichert, L Buesing, A Guez, ...
Advances in neural information processing systems 30, 2017
4502017
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
4492016
Variational Intrinsic Control
K Gregor, DJ Rezende, D Wierstra
arXiv preprint arXiv:1611.07507, 2016
4362016
Variational inference for monte carlo objectives
A Mnih, D Rezende
International Conference on Machine Learning, 2188-2196, 2016
3252016
One-shot generalization in deep generative models
D Rezende, I Danihelka, K Gregor, D Wierstra
International Conference on Machine Learning, 1521-1529, 2016
3082016
Towards conceptual compression
K Gregor, F Besse, D Jimenez Rezende, I Danihelka, D Wierstra
Advances In Neural Information Processing Systems 29, 3549-3557, 2016
2772016
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
2502017
Hamiltonian Generative Networks
P Toth, DJ Rezende, A Jaegle, S Racanière, A Botev, I Higgins
arXiv preprint arXiv:1909.13789, 2019
2242019
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