S. M. Ali Eslami
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
6
Active years
2012–2022
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ICML | From data to functa: Your data point is a function and you can treat it like one. | Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo Jimenez Rezende, Dan Rosenbaum |
| 2021 | CoRL | Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion. | Michael Bloesch, Jan Humplik, Viorica Patraucean, Roland Hafner, Tuomas Haarnoja, Arunkumar Byravan, Noah Yamamoto Siegel, Saran Tunyasuvunakool, Federico Casarini, Nathan Batchelor, Francesco Romano, Stefano Saliceti, Martin A. Riedmiller, S. M. Ali Eslami, Nicolas Heess |
| 2020 | ICML | PolyGen: An Autoregressive Generative Model of 3D Meshes. | Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami, Peter W. Battaglia |
| 2019 | ICLR | Attentive Neural Processes. | Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh |
| 2018 | ICLR | Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions. | Scott E. Reed, Yutian Chen, Thomas Paine, Aron van den Oord, S. M. Ali Eslami, Danilo J. Rezende, Oriol Vinyals, Nando de Freitas |
| 2018 | ICML | Generative Temporal Models with Spatial Memory for Partially Observed Environments. | Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols, Alexander Pritzel, S. M. Ali Eslami, Fabio Viola |
| 2018 | ICML | Synthesizing Programs for Images using Reinforced Adversarial Learning. | Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals |
| 2018 | ICML | Conditional Neural Processes. | Marta Garnelo, Dan Rosenbaum, Christopher Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo Jimenez Rezende, S. M. Ali Eslami |
| 2018 | ICML | Machine Theory of Mind. | Neil C. Rabinowitz, Frank Perbet, H. Francis Song, Chiyuan Zhang, S. M. Ali Eslami, Matthew M. Botvinick |
| 2015 | AISTATS | Consensus Message Passing for Layered Graphical Models. | Varun Jampani, S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli, John M. Winn |
| 2015 | UAI | Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages. | Wittawat Jitkrittum, Arthur Gretton, Nicolas Heess, S. M. Ali Eslami, Balaji Lakshminarayanan, Dino Sejdinovic, Zoltn Szab |
| 2012 | CVPR | The Shape Boltzmann Machine: A strong model of object shape. | S. M. Ali Eslami, Nicolas Heess, John M. Winn |