Zhe Zeng
10 papers · 2018–2024 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (24) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver
π
Conference Pioneer
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Deep Learning
(4)
Mathematics & Optimization
(4)
Bayesian & Probabilistic Β· Artificial Intelligence
(4)
Optimization & Theory
(4)
Bayesian & Probabilistic Β· Machine Learning
(3)
Core AI
(3)
Core Methods
(3)
Learning Types
(3)
Optimization
(3)
Models
(2)
Knowledge & Reasoning
(1)
Application Areas
(1)
Architectures
(1)
Keywords
message passing
(3)
probabilistic inference
(3)
weighted model integration
(3)
variational inference
(2)
exact inference
(2)
variational autoencoder
(2)
bayesian inference
(2)
graphical model
(2)
weakly supervised learning
(1)
constraint satisfaction
(1)
uncertainty quantification
(1)
distributed inference
(1)
model averaging
(1)
marginal probability
(1)
kernel embedding
(1)
sparse model
(1)
importance sampling
(1)
support vector machine
(1)
graph structure learning
(1)
knowledge distillation
(1)
Papers
Probabilistically Rewired Message-Passing Neural Networks
ICLR 2024
A Unified Approach to Count-Based Weakly Supervised Learning
NeurIPS 2023
A Unified Knowledge Distillation Framework for Deep Directed Graphical Models
CVPR 2023
Collapsed Inference for Bayesian Deep Learning
NeurIPS 2023
SIMPLE: A Gradient Estimator for k-Subset Sampling
ICLR 2023
Tractable computation of expected kernels
UAI 2021
Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations
NeurIPS 2020
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing
ICML 2020
Efficient Search-Based Weighted Model Integration
UAI 2019
Stein Variational Message Passing for Continuous Graphical Models
ICML 2018