Zhe Zeng (曾哲)
Zhe Zeng (曾哲)
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Probabilistically Rewired Message-Passing Neural Networks
ICLR 2024
Collapsed Inference for Bayesian Deep Learning
NeurIPS 2023 Oral Presentation at ICML 2023 Workshop on SPIGM (Top 5%)
A Unified Approach to Count-Based Weakly-Supervised Learning
NeurIPS 2023
A Unified Knowledge Distillation Framework for Deep Directed Graphical Models
CVPR 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 Spotlight presentation, acceptance rate 280/9454 = 2.96%
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
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