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Danilo Jimenez Rezende
Danilo Jimenez Rezende
Druga imenaDanilo J. Rezende
Ellison Institute of Technology
Preverjeni e-poštni naslov na eit.org - Domača stran
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Leto
Stochastic backpropagation and approximate inference in deep generative models
DJ Rezende, S Mohamed, D Wierstra
International conference on machine learning, 1278-1286, 2014
61752014
Variational inference with normalizing flows
D Rezende, S Mohamed
International conference on machine learning, 1530-1538, 2015
49462015
Semi-supervised learning with deep generative models
DP Kingma, S Mohamed, D Jimenez Rezende, M Welling
Advances in neural information processing systems 27, 2014
38092014
Draw: A recurrent neural network for image generation
K Gregor, I Danihelka, A Graves, D Rezende, D Wierstra
International conference on machine learning, 1462-1471, 2015
25502015
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
19842021
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
17672016
Conditional neural processes
M Garnelo, D Rosenbaum, C Maddison, T Ramalho, D Saxton, ...
International conference on machine learning, 1704-1713, 2018
8612018
Neural scene representation and rendering
SMA Eslami, D Jimenez Rezende, F Besse, F Viola, AS Morcos, ...
Science 360 (6394), 1204-1210, 2018
7592018
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
7402017
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
7392017
Neural processes
M Garnelo, J Schwarz, D Rosenbaum, F Viola, DJ Rezende, SM Eslami, ...
arXiv preprint arXiv:1807.01622, 2018
6832018
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 31, 2018
6632018
Towards a definition of disentangled representations
I Higgins, D Amos, D Pfau, S Racaniere, L Matthey, D Rezende, ...
arXiv preprint arXiv:1812.02230, 2018
6022018
Variational intrinsic control
K Gregor, DJ Rezende, D Wierstra
arXiv preprint arXiv:1611.07507, 2016
4832016
Variational information maximisation for intrinsically motivated reinforcement learning
S Mohamed, D Jimenez Rezende
Advances in neural information processing systems 28, 2015
4782015
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, 2016
4612016
Variational inference for monte carlo objectives
A Mnih, D Rezende
International Conference on Machine Learning, 2188-2196, 2016
3542016
One-shot generalization in deep generative models
D Rezende, I Danihelka, K Gregor, D Wierstra
International conference on machine learning, 1521-1529, 2016
3172016
Towards conceptual compression
K Gregor, F Besse, D Jimenez Rezende, I Danihelka, D Wierstra
Advances in neural information processing systems 29, 2016
2922016
Equivariant flow-based sampling for lattice gauge theory
G Kanwar, MS Albergo, D Boyda, K Cranmer, DC Hackett, S Racaniere, ...
Physical Review Letters 125 (12), 121601, 2020
2592020
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