Zhe Zeng

6

Papers

24

Total Citations

Papers (6)

Probabilistically Rewired Message-Passing Neural Networks

A Unified Knowledge Distillation Framework for Deep Directed Graphical Models

Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations

A Unified Approach to Count-Based Weakly Supervised Learning

Collapsed Inference for Bayesian Deep Learning

Stein Variational Message Passing for Continuous Graphical Models