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Synthesizing Programs for Images using Reinforced Adversarial Learning.

Y. Ganin, T. Kulkarni, I. Babuschkin, S. Eslami, and O. Vinyals. ICML, volume 80 of Proceedings of Machine Learning Research, page 1652-1661. PMLR, (2018)

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M. S. Fischer

Ali Salehi University of Stuttgart

Layal Ali University of Stuttgart

Dr. -Ing. Ali Jamshed University of Stuttgart

S. Schumann

Other publications of authors with the same name

A Generative Model for Parts-based Object Segmentation.S. Eslami, and C. Williams. NIPS, page 100-107. (2012)Neural Processes.M. Garnelo, J. Schwarz, D. Rosenbaum, F. Viola, D. Rezende, S. Eslami, and Y. Teh. CoRR, (2018)Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages.W. Jitkrittum, A. Gretton, N. Heess, S. Eslami, B. Lakshminarayanan, D. Sejdinovic, and Z. Szabó. CoRR, (2015)Attend, Infer, Repeat: Fast Scene Understanding with Generative Models.S. Eslami, N. Heess, T. Weber, Y. Tassa, K. Kavukcuoglu, and G. Hinton. CoRR, (2016)A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities.S. Kohl, B. Romera-Paredes, K. Maier-Hein, D. Rezende, S. Eslami, P. Kohli, A. Zisserman, and O. Ronneberger. CoRR, (2019)Just-In-Time Learning for Fast and Flexible Inference.S. Eslami, D. Tarlow, P. Kohli, and J. Winn. NIPS, page 154-162. (2014)The Pascal Visual Object Classes Challenge: A Retrospective.M. Everingham, S. Eslami, L. Gool, C. Williams, J. Winn, and A. Zisserman. International Journal of Computer Vision, 111 (1): 98-136 (2015)Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions.S. Reed, Y. Chen, T. Paine, A. van den Oord, S. Eslami, D. Rezende, O. Vinyals, and N. de Freitas. CoRR, (2017)Conditional Neural Processes.M. Garnelo, D. Rosenbaum, C. Maddison, T. Ramalho, D. Saxton, M. Shanahan, Y. Teh, D. Rezende, and S. Eslami. ICML, volume 80 of Proceedings of Machine Learning Research, page 1690-1699. PMLR, (2018)Generative Temporal Models with Spatial Memory for Partially Observed Environments.M. Fraccaro, D. Rezende, Y. Zwols, A. Pritzel, S. Eslami, and F. Viola. ICML, volume 80 of Proceedings of Machine Learning Research, page 1544-1553. PMLR, (2018)