Guangyao Zhou
9 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (25) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver
🌈
Renaissance Researcher
(5)
🗃️
Keyword Collector
(50)
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(6)
Bayesian & Probabilistic · Artificial Intelligence
(5)
Deep Learning
(4)
Optimization & Theory
(4)
Computer Vision
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Core Methods
(3)
Generation
(2)
Models
(2)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Robotics
(1)
Analysis
(1)
Applications
(1)
Keywords
probabilistic graphical model
(2)
approximate inference
(2)
bayesian inference
(2)
image generation
(1)
markov chain monte carlo
(1)
belief propagation
(1)
variational inference
(1)
interpretability
(1)
depth estimation
(1)
transformer
(1)
marginal inference
(1)
posterior distribution
(1)
loopy belief propagation
(1)
continuous control
(1)
state representation
(1)
uncertainty quantification
(1)
hamiltonian monte carlo
(1)
discrete inference
(1)
markov random field
(1)
offline reinforcement learning
(1)
Papers
Direct Motion Models for Assessing Generated Videos
ICML 2025
Distributional Diffusion Models with Scoring Rules
ICML 2025
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors
NeurIPS 2024
Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments
ICML 2024
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX
JMLR 2024
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation
ICCV 2023
Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation
ICML 2023
Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables
AAAI 2021
Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous Variables
NeurIPS 2020