Tuan Anh Le
20 papers · 2015–2024 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (9) π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(32)
π
Keyword Champion
(3)
π
Grand Slam
π§¬
Topic Evolution
π
Century Club
(20)
π
Conference Pioneer
π₯
Unstoppable
(6)
ποΈ
Keyword Collector
(79)
π
Trend Setter
Conferences
NIPS (5)
ICML (4)
UAI (3)
AISTATS (2)
ICLR (2)
AAAI (1)
ACL (1)
IJCNLP (1)
RSS (1)
Top co-authors
Keywords
variational inference
(6)
generative model
(6)
amortized inference
(5)
evidence lower bound
(3)
neuro-symbolic model
(2)
robot navigation
(1)
few-shot learning
(1)
3d reconstruction
(1)
chain-of-thought reasoning
(1)
uncertainty quantification
(1)
expectation maximization
(1)
posterior sampling
(1)
human-robot interaction
(1)
markov chain monte carlo
(1)
semi-supervised learning
(1)
partially observable markov decision process
(1)
gibbs sampling
(1)
bayesian inference
(1)
posterior inference
(1)
importance sampling
(1)
Papers
Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning
NIPS 2024
Neural Amortized Inference for Nested Multi-Agent Reasoning
AAAI 2024
Robust Inverse Graphics via Probabilistic Inference
ICML 2024
Demonstrating Arena 3.0: Advancing Social Navigation in Collaborative and Highly Dynamic Environments
RSS 2024
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images
AISTATS 2023
Training Chain-of-Thought via Latent-Variable Inference
NIPS 2023
Drawing out of Distribution with Neuro-Symbolic Generative Models
NIPS 2022
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface
ICLR 2022
Learning to learn generative programs with Memoised Wake-Sleep
UAI 2020
Amortized Population Gibbs Samplers with Neural Sufficient Statistics
ICML 2020
Semi-supervised Sequential Generative Models
UAI 2020
The Thermodynamic Variational Objective
NIPS 2019
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow
UAI 2019
Tighter Variational Bounds are Not Necessarily Better
ICML 2018
Deep Variational Reinforcement Learning for POMDPs
ICML 2018
Auto-Encoding Sequential Monte Carlo
ICLR 2018
Inference Compilation and Universal Probabilistic Programming
AISTATS 2017
Bayesian Optimization for Probabilistic Programs
NIPS 2016
IMI β A Multilingual Semantic Annotation Environment
IJCNLP 2015
IMI β A Multilingual Semantic Annotation Environment
ACL 2015