Danilo Jimenez Rezende
Danilo Jimenez Rezende
Senior Staff Research Scientist at DeepMind
Email verificata su google.com - Home page
Citata da
Citata da
Stochastic backpropagation and approximate inference in deep generative models
DJ Rezende, S Mohamed, D Wierstra
International Conference on Machine Learning, 2014, 2014
Semi-Supervised Learning with Deep Generative Models
MW Diederik P. Kingma, Shakir Mohamed, Danilo Jimenez Rezende
NIPS2014, 2014
DRAW: A Recurrent Neural Network For Image Generation
K Gregor, I Danihelka, A Graves, D Jimenez Rezende, D Wierstra
arxiv preprint, 2015
Variational Inference with Normalizing Flows
D Jimenez Rezende, S Mohamed
The 32nd International Conference on Machine Learning, 2015
Interaction Networks for Learning about Objects, Relations and Physics
P Battaglia, R Pascanu, M Lai, DJ Rezende
Advances in Neural Information Processing Systems, 4502-4510, 2016
Imagination-augmented agents for deep reinforcement learning
S Racanière, T Weber, D Reichert, L Buesing, A Guez, DJ Rezende, ...
Advances in neural information processing systems, 5690-5701, 2017
Unsupervised learning of 3d structure from images
DJ Rezende, SMA Eslami, S Mohamed, P Battaglia, M Jaderberg, ...
Advances in Neural Information Processing Systems, 4996-5004, 2016
Neural scene representation and rendering
SMA Eslami, DJ Rezende, F Besse, F Viola, AS Morcos, M Garnelo, ...
Science 360 (6394), 1204-1210, 2018
One-shot generalization in deep generative models
D Rezende, I Danihelka, K Gregor, D Wierstra
International Conference on Machine Learning, 1521-1529, 2016
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
S Mohamed, D Jimenez Rezende
Proceedings of the 29th Conference on Neural Information Processing Systems …, 2015
Variational inference for monte carlo objectives
A Mnih, D Rezende
International Conference on Machine Learning, 2188-2196, 2016
Towards conceptual compression
K Gregor, F Besse, DJ Rezende, I Danihelka, D Wierstra
Advances In Neural Information Processing Systems, 3549-3557, 2016
Conditional Neural Processes
M Garnelo, D Rosenbaum, CJ Maddison, T Ramalho, D Saxton, ...
arXiv preprint arXiv:1807.01613, 2018
Neural Processes
M Garnelo, J Schwarz, D Rosenbaum, F Viola, DJ Rezende, SM Eslami, ...
arXiv preprint arXiv:1807.01622, 2018
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
Variational Intrinsic Control
K Gregor, DJ Rezende, D Wierstra
arXiv preprint arXiv:1611.07507, 2016
Stochastic variational learning in recurrent spiking networks.
D Jimenez Rezende, W Gerstner
Front. Comput. Neurosci., 2014
Variational learning for recurrent spiking networks
DJ Rezende, D Wierstra, W Gerstner
Advances in Neural Information Processing Systems, 136-144, 2011
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
Towards a Definition of Disentangled Representations
I Higgins, D Amos, D Pfau, S Racaniere, L Matthey, D Rezende, ...
arXiv preprint arXiv:1812.02230, 2018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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