S. M. Ali Eslami
S. M. Ali Eslami
Google DeepMind
Verified email at google.com - Homepage
Cited by
Cited by
The Pascal Visual Object Classes Challenge–a Retrospective
M Everingham, SMA Eslami, L Van Gool, CKI Williams, J Winn, ...
IJCV, 2014
Emergence of locomotion behaviours in rich environments
N Heess, D TB, S Sriram, J Lemmon, J Merel, G Wayne, Y Tassa, T Erez, ...
arXiv preprint arXiv:1707.02286, 2017
Attend, infer, repeat: Fast scene understanding with generative models
SMA Eslami, N Heess, T Weber, Y Tassa, D Szepesvari, GE Hinton
Advances in Neural Information Processing Systems, 3225-3233, 2016
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
The Shape Boltzmann Machine: a Strong Model of Object Shape
SMA Eslami, N Heess, CKI Williams, J Winn
International Journal of Computer Vision 107 (2), 155-176, 2014
Data-efficient image recognition with contrastive predictive coding
OJ Hénaff, A Srinivas, J De Fauw, A Razavi, C Doersch, SM Eslami, ...
arXiv preprint arXiv:1905.09272, 2019
Conditional neural processes
M Garnelo, D Rosenbaum, CJ Maddison, T Ramalho, D Saxton, ...
arXiv preprint arXiv:1807.01613, 2018
Machine theory of mind
NC Rabinowitz, F Perbet, HF Song, C Zhang, SM Eslami, M Botvinick
arXiv preprint arXiv:1802.07740, 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
Synthesizing programs for images using reinforced adversarial learning
Y Ganin, T Kulkarni, I Babuschkin, SM Eslami, O Vinyals
arXiv preprint arXiv:1804.01118, 2018
Attentive neural processes
H Kim, A Mnih, J Schwarz, M Garnelo, A Eslami, D Rosenbaum, O Vinyals, ...
arXiv preprint arXiv:1901.05761, 2019
A Generative Model for Parts-based Object Segmentation
SMA Eslami, CKI Williams
Neural Information Processing Systems, 2012
Learning and querying fast generative models for reinforcement learning
L Buesing, T Weber, S Racaniere, SM Eslami, D Rezende, DP Reichert, ...
arXiv preprint arXiv:1802.03006, 2018
Few-shot autoregressive density estimation: Towards learning to learn distributions
S Reed, Y Chen, T Paine, A Oord, SM Eslami, D Rezende, O Vinyals, ...
arXiv preprint arXiv:1710.10304, 2017
Kickstarting deep reinforcement learning
S Schmitt, JJ Hudson, A Zidek, S Osindero, C Doersch, WM Czarnecki, ...
arXiv preprint arXiv:1803.03835, 2018
Kernel-based just-in-time learning for passing expectation propagation messages
W Jitkrittum, A Gretton, N Heess, SM Eslami, B Lakshminarayanan, ...
arXiv preprint arXiv:1503.02551, 2015
Van Gool, L
M Everingham
Williams, CKI, Winn, J. and Zisserman, A. The PASCAL Visual Object Classes …, 2012
Just-in-time learning for fast and flexible inference
SMA Eslami, D Tarlow, P Kohli, J Winn
Advances in Neural Information Processing Systems, 154-162, 2014
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