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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, Zoltán Szabó: Kernel-Based Just-In-Time Learning for Passing Expectation Propagation...
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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, Zoltán Szabó: Kernel-Based Just-In-Time Learning for Passing Expectation Propagation...
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Consensus Message Passing for Layered Graphical Models.
Varun Jampani, S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli, John M. Winn: Consensus Message Passing for Layered Graphical Models. AISTATS 2015
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The Pascal Visual Object Classes Challenge: A Retrospective.
Mark Everingham, S. M. Ali Eslami, Luc Van Gool, Christopher K. I. Williams, John M. Winn, Andrew Zisserman: The Pascal Visual Object Classes Challenge: A Retrospective. Int. J. Comput. Vis. 111(1):...
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Unsupervised Learning of 3D Structure from Images.
Danilo Jimenez Rezende, S. M. Ali Eslami, Shakir Mohamed, Peter W. Battaglia, Max Jaderberg, Nicolas Heess: Unsupervised Learning of 3D Structure from Images. CoRR abs/1607.00662 (2016)
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Attend, Infer, Repeat: Fast Scene Understanding with Generative Models.
S. M. Ali Eslami, Nicolas Heess, Theophane Weber, Yuval Tassa, Koray Kavukcuoglu, Geoffrey E. Hinton: Attend, Infer, Repeat: Fast Scene Understanding with Generative Models. CoRR abs/1603.08575 (2016)
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Unsupervised Learning of 3D Structure from Images.
Danilo Jimenez Rezende, S. M. Ali Eslami, Shakir Mohamed, Peter W. Battaglia, Max Jaderberg, Nicolas Heess: Unsupervised Learning of 3D Structure from Images. NIPS 2016: 4997-5005
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Attend, Infer, Repeat: Fast Scene Understanding with Generative Models.
S. M. Ali Eslami, Nicolas Heess, Theophane Weber, Yuval Tassa, David Szepesvari, Koray Kavukcuoglu, Geoffrey E. Hinton: Attend, Infer, Repeat: Fast Scene Understanding with Generative Models. NIPS...
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Few-shot Autoregressive Density Estimation: Towards Learning to Learn...
Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo Jimenez Rezende, Oriol Vinyals, Nando de Freitas: Few-shot Autoregressive Density Estimation: Towards Learning to...
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Emergence of Locomotion Behaviours in Rich Environments.
Nicolas Heess, Dhruva TB, Srinivasan Sriram, Jay Lemmon, Josh Merel, Greg Wayne, Yuval Tassa, Tom Erez, Ziyu Wang, S. M. Ali Eslami, Martin A. Riedmiller, David Silver: Emergence of Locomotion...
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Generating Diverse Programs with Instruction Conditioned Reinforced...
Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, S. M. Ali Eslami, Oriol Vinyals, Tejas Kulkarni: Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning. CoRR...
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Learning models for visual 3D localization with implicit mapping.
Dan Rosenbaum, Frederic Besse, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami: Learning models for visual 3D localization with implicit mapping. CoRR abs/1807.03149 (2018)
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Consistent Generative Query Networks.
Ananya Kumar, S. M. Ali Eslami, Danilo J. Rezende, Marta Garnelo, Fabio Viola, Edward Lockhart, Murray Shanahan: Consistent Generative Query Networks. CoRR abs/1807.02033 (2018)
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Encoding Spatial Relations from Natural Language.
Tiago Ramalho, Tomás Kociský, Frederic Besse, S. M. Ali Eslami, Gábor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann: Encoding Spatial Relations from Natural Language. CoRR abs/1807.01670 (2018)
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Neural Processes.
Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami, Yee Whye Teh: Neural Processes. CoRR abs/1807.01622 (2018)
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Conditional Neural Processes.
Marta Garnelo, Dan Rosenbaum, Chris J. Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo J. Rezende, S. M. Ali Eslami: Conditional Neural Processes. CoRR abs/1807.01613 (2018)
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A Probabilistic U-Net for Segmentation of Ambiguous Images.
Simon A. A. Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus H. Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger: A Probabilistic U-Net for...
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Generative Temporal Models with Spatial Memory for Partially Observed...
Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols, Alexander Pritzel, S. M. Ali Eslami, Fabio Viola: Generative Temporal Models with Spatial Memory for Partially Observed Environments. CoRR...
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Synthesizing Programs for Images using Reinforced Adversarial Learning.
Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals: Synthesizing Programs for Images using Reinforced Adversarial Learning. CoRR abs/1804.01118 (2018)
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Kickstarting Deep Reinforcement Learning.
Simon Schmitt, Jonathan J. Hudson, Augustin Zídek, Simon Osindero, Carl Doersch, Wojciech M. Czarnecki, Joel Z. Leibo, Heinrich Küttler, Andrew Zisserman, Karen Simonyan, S. M. Ali Eslami: Kickstarting...
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Machine Theory of Mind.
Neil C. Rabinowitz, Frank Perbet, H. Francis Song, Chiyuan Zhang, S. M. Ali Eslami, Matthew M. Botvinick: Machine Theory of Mind. CoRR abs/1802.07740 (2018)
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Learning and Querying Fast Generative Models for Reinforcement Learning.
Lars Buesing, Theophane Weber, Sébastien Racanière, S. M. Ali Eslami, Danilo Jimenez Rezende, David P. Reichert, Fabio Viola, Frederic Besse, Karol Gregor, Demis Hassabis, Daan Wierstra: Learning and...
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A Probabilistic U-Net for Segmentation of Ambiguous Images.
Simon Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus H. Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger: A Probabilistic U-Net for...
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Machine Theory of Mind.
Neil C. Rabinowitz, Frank Perbet, H. Francis Song, Chiyuan Zhang, S. M. Ali Eslami, Matthew M. Botvinick: Machine Theory of Mind. ICML 2018: 4215-4224
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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: Conditional Neural Processes. ICML 2018: 1690-1699
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Synthesizing Programs for Images using Reinforced Adversarial Learning.
Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals: Synthesizing Programs for Images using Reinforced Adversarial Learning. ICML 2018: 1652-1661
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Generative Temporal Models with Spatial Memory for Partially Observed...
Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols, Alexander Pritzel, S. M. Ali Eslami, Fabio Viola: Generative Temporal Models with Spatial Memory for Partially Observed Environments. ICML 2018:...
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Few-shot Autoregressive Density Estimation: Towards Learning to Learn...
Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo J. Rezende, Oriol Vinyals, Nando de Freitas: Few-shot Autoregressive Density Estimation: Towards Learning to Learn...
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Unsupervised Doodling and Painting with Improved SPIRAL.
John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami: Unsupervised Doodling and Painting with...
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A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities.
Simon A. A. Kohl, Bernardino Romera-Paredes, Klaus H. Maier-Hein, Danilo Jimenez Rezende, S. M. Ali Eslami, Pushmeet Kohli, Andrew Zisserman, Olaf Ronneberger: A Hierarchical Probabilistic U-Net for...
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Data-Efficient Image Recognition with Contrastive Predictive Coding.
Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aäron van den Oord: Data-Efficient Image Recognition with Contrastive Predictive Coding. CoRR...
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Meta-Learning surrogate models for sequential decision making.
Alexandre Galashov, Jonathan Schwarz, Hyunjik Kim, Marta Garnelo, David Saxton, Pushmeet Kohli, S. M. Ali Eslami, Yee Whye Teh: Meta-Learning surrogate models for sequential decision making. CoRR...
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Attentive Neural Processes.
Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh: Attentive Neural Processes. CoRR abs/1901.05761 (2019)
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Attentive Neural Processes.
Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh: Attentive Neural Processes. ICLR (Poster) 2019
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Game Plan: What AI can do for Football, and What Football can do for AI.
Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov,...
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Contrastive Training for Improved Out-of-Distribution Detection.
Jim Winkens, Rudy Bunel, Abhijit Guha Roy, Robert Stanforth, Vivek Natarajan, Joseph R. Ledsam, Patricia MacWilliams, Pushmeet Kohli, Alan Karthikesalingam, Simon Kohl, A. Taylan Cemgil, S. M. Ali...
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PolyGen: An Autoregressive Generative Model of 3D Meshes.
Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami, Peter W. Battaglia: PolyGen: An Autoregressive Generative Model of 3D Meshes. CoRR abs/2002.10880 (2020)
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PolyGen: An Autoregressive Generative Model of 3D Meshes.
Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami, Peter W. Battaglia: PolyGen: An Autoregressive Generative Model of 3D Meshes. ICML 2020: 7220-7229
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Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images...
Dan Rosenbaum, Marta Garnelo, Michal Zielinski, Charlie Beattie, Ellen Clancy, Andrea Huber, Pushmeet Kohli, Andrew W. Senior, John Jumper, Carl Doersch, S. M. Ali Eslami, Olaf Ronneberger, Jonas...
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Multimodal Few-Shot Learning with Frozen Language Models.
Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, S. M. Ali Eslami, Oriol Vinyals, Felix Hill: Multimodal Few-Shot Learning with Frozen Language Models. CoRR abs/2106.13884 (2021)
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From Motor Control to Team Play in Simulated Humanoid Football.
Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke...
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Generative Art Using Neural Visual Grammars and Dual Encoders.
Chrisantha Fernando, S. M. Ali Eslami, Jean-Baptiste Alayrac, Piotr Mirowski, Dylan Banarse, Simon Osindero: Generative Art Using Neural Visual Grammars and Dual Encoders. CoRR abs/2105.00162 (2021)
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Multimodal Few-Shot Learning with Frozen Language Models.
Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, S. M. Ali Eslami, Oriol Vinyals, Felix Hill: Multimodal Few-Shot Learning with Frozen Language Models. NeurIPS 2021: 200-212
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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,...
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Game Plan: What AI can do for Football, and What Football can do for AI.
Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov,...
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Self-supervised video pretraining yields strong image representations.
Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff: Self-supervised video pretraining yields strong image representations. CoRR abs/2210.06433 (2022)
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From data to functa: Your data point is a function and you should treat it...
Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo J. Rezende, Dan Rosenbaum: From data to functa: Your data point is a function and you should treat it like one. CoRR abs/2201.12204 (2022)
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From data to functa: Your data point is a function and you can treat it like...
Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo Jimenez Rezende, Dan Rosenbaum: From data to functa: Your data point is a function and you can treat it like one. ICML 2022: 5694-5725
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From motor control to team play in simulated humanoid football.
Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke...
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Self-supervised video pretraining yields robust and more human-aligned visual...
Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff: Self-supervised video pretraining yields robust and more human-aligned visual representations. NeurIPS 2023
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