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Zhe Zeng
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Cited by
Cited by
Year
Stein variational message passing for continuous graphical models
D Wang, Z Zeng, Q Liu
International Conference on Machine Learning, 5206-5214, 2018
382018
Efficient Search-Based Weighted Model Integration
Z Zeng, GV Broeck
The Conference on Uncertainty in Artificial Intelligence (UAI), 2019
172019
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing
Z Zeng, P Morettin, F Yan, A Vergari, GV Broeck
Thirty-seventh International Conference on Machine Learning (ICML) 2020, 2020
62020
Probabilistic inference with algebraic constraints: Theoretical limits and practical approximations
Z Zeng, P Morettin, F Yan, A Vergari, G Van den Broeck
Advances in Neural Information Processing Systems 33, 11564-11575, 2020
32020
Tractable computation of expected kernels
W Li, Z Zeng, A Vergari, G Van den Broeck
Uncertainty in Artificial Intelligence, 1163-1173, 2021
12021
Hybrid Probabilistic Inference with Logical Constraints: Tractability and Message Passing
Z Zeng, F Yan, P Morettin, A Vergari, GV Broeck
Workshop on Knowledge Representation & Reasoning Meets Machine Learning …, 2019
12019
Is Parameter Learning via Weighted Model Integration Tractable?
Z Zeng, P Morettin, F Yan, A Passerini, G Van den Broeck
The 4th Workshop on Tractable Probabilistic Modeling, 2021
2021
Tractable Computation of Expected Kernels by Circuits
W Li, Z Zeng, A Vergari, G Van den Broeck
CoRR, 2021
2021
Probabilistic Inference with Algebraic Constraints
Z Zeng, P Morettin, F Yan, A Vergari, G Van den Broeck
Relax, compensate and then integrate
Z Zeng, P Morettin, F Yan, A Vergari, G Van den Broeck
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Articles 1–10