Le, Tuan Anh

16 publications

NeurIPS 2024 Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning Wasu Top Piriyakulkij, Cassidy Langenfeld, Tuan Anh Le, Kevin Ellis

NeurIPSW 2024 Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning Wasu Top Piriyakulkij, Cassidy Langenfeld, Tuan Anh Le, Kevin Ellis

AAAI 2024 Neural Amortized Inference for Nested Multi-Agent Reasoning Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu

ICML 2024 Robust Inverse Graphics via Probabilistic Inference Tuan Anh Le, Pavel Sountsov, Matthew Douglas Hoffman, Ben Lee, Brian Patton, Rif A. Saurous

AISTATS 2023 ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images Matthew D. Hoffman, Tuan Anh Le, Pavel Sountsov, Christopher Suter, Ben Lee, Vikash K. Mansinghka, Rif A. Saurous

NeurIPS 2023 Training Chain-of-Thought via Latent-Variable Inference Du Phan, Matthew Douglas Hoffman, David Dohan, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles A. Sutton, Sharad Vikram, Rif A. Saurous

NeurIPS 2022 Drawing Out of Distribution with Neuro-Symbolic Generative Models Yichao Liang, Josh Tenenbaum, Tuan Anh Le, Siddharth N

ICLR 2022 Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface Tuan Anh Le, Katherine M. Collins, Luke Hewitt, Kevin Ellis, Siddharth N, Samuel Gershman, Joshua B. Tenenbaum

ICML 2020 Amortized Population Gibbs Samplers with Neural Sufficient Statistics Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem Van De Meent

UAI 2019 Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood

NeurIPS 2019 The Thermodynamic Variational Objective Vaden Masrani, Tuan Anh Le, Frank Wood

ICLR 2018 Auto-Encoding Sequential Monte Carlo Tuan Anh Le, Maximilian Igl, Tom Rainforth, Tom Jin, Frank Wood

ICML 2018 Deep Variational Reinforcement Learning for POMDPs Maximilian Igl, Luisa Zintgraf, Tuan Anh Le, Frank Wood, Shimon Whiteson

ICML 2018 Tighter Variational Bounds Are Not Necessarily Better Tom Rainforth, Adam Kosiorek, Tuan Anh Le, Chris Maddison, Maximilian Igl, Frank Wood, Yee Whye Teh

AISTATS 2017 Inference Compilation and Universal Probabilistic Programming Tuan Anh Le, Atilim Gunes Baydin, Frank D. Wood

NeurIPS 2016 Bayesian Optimization for Probabilistic Programs Tom Rainforth, Tuan Anh Le, Jan-Willem van de Meent, Michael A Osborne, Frank Wood