Publications

Probabilistically Rewired Message-Passing Neural Networks

ICLR 2024

Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van Den Broeck, Mathias Niepert, Christopher Morris

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Probabilistically Rewired Message-Passing Neural Networks

Gradient Estimation for Exactly-k Constraints

NeurIPS 2023 Workshop on AI for Scientific Discovery

Ruoyan Li, Dipti Ranjan Sahu, Guy Van Den Broeck, Zhe Zeng

Collapsed Inference for Bayesian Deep Learning

ICML 2023 Workshop on Structured Probabilistic Inference & Generative Modeling Oral Presentation (Top 5%)

Zhe Zeng, Guy Van Den Broeck

Collapsed Inference for Bayesian Deep Learning

NeurIPS 2023 Oral Presentation at ICML 2023 Workshop on SPIGM (Top 5%)

Zhe Zeng, Guy Van Den Broeck

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Collapsed Inference for Bayesian Deep Learning

A Unified Approach to Count-Based Weakly-Supervised Learning

NeurIPS 2023

Vinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van Den Broeck

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A Unified Approach to Count-Based Weakly-Supervised Learning

Probabilistic Rewired Message-passing Neural Networks

arXiv

Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van Den Broeck, Mathias Niepert, Christopher Morris

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SIMPLE: A Gradient Estimator for k-Subset Sampling

ICML 2023 Workshop on Differentiable Almost Everything

Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van Den Broeck

Probabilistic Task-Adaptive Graph Rewiring

ICML 2023 Workshop on Differentiable Almost Everything

Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van Den Broeck, Mathias Niepert, Christopher Morris

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Probabilistic Task-Adaptive Graph Rewiring

A Unified Approach to Count-Based Weakly-Supervised Learning

ICML 2023 Workshop on Differentiable Almost Everything

Vinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van Den Broeck

A Unified Knowledge Distillation Framework for Deep Directed Graphical Models

CVPR 2023

Yizhuo Chen, Kaizhao Liang, Zhe Zeng, Yifei Yang, Shuochao Yao, Huajie Shao

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A Unified Knowledge Distillation Framework for Deep Directed Graphical Models

SIMPLE: A Gradient Estimator for k-Subset Sampling

ICLR 2023

Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van Den Broeck

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SIMPLE: A Gradient Estimator for k-Subset Sampling

SoCal NLP Symposium 2022

Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van Den Broeck

Tractable Computation of Expected Kernels

UAI 2021

Wenzhe Li, Zhe Zeng, Antonio Vergari, Guy Van Den Broeck

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Tractable Computation of Expected Kernels

Is Parameter Learning via Weighted Model Integration Tractable?

TPM Workshop at UAI 2021

Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van Den Broeck

Slides

Is Parameter Learning via Weighted Model Integration Tractable?

Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations

NeurIPS 2020 Spotlight presentation, acceptance rate 280/9454 = 2.96%

Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van Den Broeck

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Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations

Relax, Compensate and then Integrate

DeCoDeML Workshop at ECML-PKDD 2020

Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van Den Broeck

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Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing

ICML 2020

Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van Den Broeck

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Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing

Hybrid Probabilistic Inference with Logical Constraints: Tractability and Message Passing

KR2ML Workshop at NeurIPS 2019

Zhe Zeng, Fanqi Yan, Paolo Morettin, Antonio Vergari, Guy Van Den Broeck

Code Poster Slides

Hybrid Probabilistic Inference with Logical Constraints: Tractability and Message Passing

Efficient Search-Based Weighted Model Integration

IJCAI 2019 Workshop on Declarative Learning Based Programming

Zhe Zeng, Guy Van Den Broeck

Efficient Search-Based Weighted Model Integration

UAI 2019

Zhe Zeng, Guy Van Den Broeck

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Efficient Search-Based Weighted Model Integration

Stein Variational Message Passing for Continuous Graphical Models

ICML 2018

Dilin Wang, Zhe Zeng, Qiang Liu

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