Zhe Zeng (曾哲)
Zhe Zeng (曾哲)
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Tractable Computation of Expected Kernels
UAI 2021
Wenzhe Li
,
Zhe Zeng
,
Antonio Vergari
,
Guy Van den Broeck
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Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations
NeurIPS 2020
Oral spotlight presentation, acceptance rate 385/9454 = 4.1%
Zhe Zeng
,
Paolo Morettin
,
Fanqi Yan
,
Antonio Vergari
,
Guy Van den Broeck
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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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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
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Poster
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Efficient Search-Based Weighted Model Integration
UAI 2019
Zhe Zeng
,
Guy Van den Broeck
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Poster
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Stein Variational Message Passing for Continuous Graphical Models
ICML 2018
Dilin Wang
,
Zhe Zeng
,
Qiang Liu
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Is Parameter Learning via Weighted Model Integration Tractable?
TPM 2021
Zhe Zeng
,
Paolo Morettin
,
Fanqi Yan
,
Antonio Vergari
,
Guy Van den Broeck
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