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Learning to learn generative programs with Memoised Wake-Sleep

Jul 06, 2020
Luke B. Hewitt, Tuan Anh Le, Joshua B. Tenenbaum


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Semi-supervised Sequential Generative Models

Jun 30, 2020
Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood

* Accepted to Uncertainty in Artificial Intelligence 2020 

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Amortized Population Gibbs Samplers with Neural Sufficient Statistics

Nov 04, 2019
Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent


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The Thermodynamic Variational Objective

Jun 28, 2019
Vaden Masrani, Tuan Anh Le, Frank Wood


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Imitation Learning of Factored Multi-agent Reactive Models

Mar 12, 2019
Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood


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Tighter Variational Bounds are Not Necessarily Better

Jun 25, 2018
Tom Rainforth, Adam R. Kosiorek, Tuan Anh Le, Chris J. Maddison, Maximilian Igl, Frank Wood, Yee Whye Teh

* To appear at ICML 2018 

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Deep Variational Reinforcement Learning for POMDPs

Jun 06, 2018
Maximilian Igl, Luisa Zintgraf, Tuan Anh Le, Frank Wood, Shimon Whiteson


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Revisiting Reweighted Wake-Sleep

May 26, 2018
Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood

* Tuan Anh Le and Adam R. Kosiorek contributed equally 

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Auto-Encoding Sequential Monte Carlo

Apr 05, 2018
Tuan Anh Le, Maximilian Igl, Tom Rainforth, Tom Jin, Frank Wood


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Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators

Dec 21, 2017
Mario Lezcano Casado, Atilim Gunes Baydin, David Martinez Rubio, Tuan Anh Le, Frank Wood, Lukas Heinrich, Gilles Louppe, Kyle Cranmer, Karen Ng, Wahid Bhimji, Prabhat

* 7 pages, 2 figures 

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Bayesian Optimization for Probabilistic Programs

Jul 13, 2017
Tom Rainforth, Tuan Anh Le, Jan-Willem van de Meent, Michael A. Osborne, Frank Wood


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Using Synthetic Data to Train Neural Networks is Model-Based Reasoning

Mar 02, 2017
Tuan Anh Le, Atilim Gunes Baydin, Robert Zinkov, Frank Wood

* 8 pages, 4 figures 

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Inference Compilation and Universal Probabilistic Programming

Mar 02, 2017
Tuan Anh Le, Atilim Gunes Baydin, Frank Wood

* In Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017), 54:1338--1348. Proceedings of Machine Learning Research. Fort Lauderdale, FL, USA: PMLR 
* 11 pages, 6 figures 

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Data-driven Sequential Monte Carlo in Probabilistic Programming

May 16, 2016
Yura N Perov, Tuan Anh Le, Frank Wood

* Black Box Learning and Inference, NIPS 2015 Workshop 

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