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

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

28 February 2020
Zhe Zeng
Paolo Morettin
Fanqi Yan
Antonio Vergari
Mathias Niepert
    TPM
ArXivPDFHTML

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

3 / 3 papers shown
Title
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction
Leander Kurscheidt
Paolo Morettin
Roberto Sebastiani
Andrea Passerini
Antonio Vergari
59
0
0
25 Mar 2025
A Unified Approach to Count-Based Weakly-Supervised Learning
A Unified Approach to Count-Based Weakly-Supervised Learning
Vinay Shukla
Zhe Zeng
Kareem Ahmed
Mathias Niepert
SSL
55
6
0
22 Nov 2023
SIMPLE: A Gradient Estimator for $k$-Subset Sampling
SIMPLE: A Gradient Estimator for kkk-Subset Sampling
Kareem Ahmed
Zhe Zeng
Mathias Niepert
Mathias Niepert
BDL
50
25
0
04 Oct 2022
1