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Danilo J. Rezende
Danilo J. Rezende
Senior Staff Research Scientist at DeepMind
Dirección de correo verificada de google.com - Página principal
Título
Citado por
Citado por
Año
Stochastic backpropagation and approximate inference in deep generative models
DJ Rezende, S Mohamed, D Wierstra
International Conference on Machine Learning, 2014, 2014
42902014
Semi-Supervised Learning with Deep Generative Models
MW Diederik P. Kingma, Shakir Mohamed, Danilo Jimenez Rezende
NIPS2014, 2014
2517*2014
Variational Inference with Normalizing Flows
D Jimenez Rezende, S Mohamed
The 32nd International Conference on Machine Learning, 2015
21962015
DRAW: A Recurrent Neural Network For Image Generation
K Gregor, I Danihelka, A Graves, D Jimenez Rezende, D Wierstra
arxiv preprint, 2015
19552015
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
10502016
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
4892021
Neural scene representation and rendering
SMA Eslami, D Jimenez Rezende, F Besse, F Viola, AS Morcos, ...
Science 360 (6394), 1204-1210, 2018
4552018
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
3582016
Conditional neural processes
M Garnelo, D Rosenbaum, C Maddison, T Ramalho, D Saxton, ...
International Conference on Machine Learning, 1704-1713, 2018
3552018
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
S Mohamed, D Jimenez Rezende
Proceedings of the 29th Conference on Neural Information Processing Systems …, 2015
3292015
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
3082017
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
2902018
Neural Processes
M Garnelo, J Schwarz, D Rosenbaum, F Viola, DJ Rezende, SM Eslami, ...
arXiv preprint arXiv:1807.01622, 2018
2892018
Towards a Definition of Disentangled Representations
I Higgins, D Amos, D Pfau, S Racaniere, L Matthey, D Rezende, ...
arXiv preprint arXiv:1812.02230, 2018
2492018
Variational inference for monte carlo objectives
A Mnih, D Rezende
International Conference on Machine Learning, 2188-2196, 2016
2482016
Variational Intrinsic Control
K Gregor, DJ Rezende, D Wierstra
arXiv preprint arXiv:1611.07507, 2016
2472016
One-shot generalization in deep generative models
D Rezende, I Danihelka, K Gregor, D Wierstra
International Conference on Machine Learning, 1521-1529, 2016
2472016
Towards conceptual compression
K Gregor, F Besse, D Jimenez Rezende, I Danihelka, D Wierstra
Advances In Neural Information Processing Systems 29, 3549-3557, 2016
2242016
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
2042017
Unsupervised Predictive Memory in a Goal-Directed Agent
G Wayne, CC Hung, D Amos, M Mirza, A Ahuja, A Grabska-Barwinska, ...
arXiv preprint arXiv:1803.10760, 2018
1402018
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