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Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic
  Constraints via Message Passing
v1v2 (latest)

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

28 February 2020
Zhe Zeng
Paolo Morettin
Fanqi Yan
Antonio Vergari
Guy Van den Broeck
    TPM
ArXiv (abs)PDFHTML

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

5 / 5 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
164
1
0
25 Mar 2025
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
Lorenzo Loconte
Antonio Mari
G. Gala
Robert Peharz
Cassio de Campos
Erik Quaeghebeur
G. Vessio
Antonio Vergari
104
12
0
12 Sep 2024
A Unified Approach to Count-Based Weakly-Supervised Learning
A Unified Approach to Count-Based Weakly-Supervised Learning
Vinay Shukla
Zhe Zeng
Kareem Ahmed
Guy Van den Broeck
SSL
105
6
0
22 Nov 2023
Collapsed Inference for Bayesian Deep Learning
Collapsed Inference for Bayesian Deep Learning
Zhe Zeng
Guy Van den Broeck
FedMLBDLUQCV
126
9
0
16 Jun 2023
SIMPLE: A Gradient Estimator for $k$-Subset Sampling
SIMPLE: A Gradient Estimator for kkk-Subset Sampling
Kareem Ahmed
Zhe Zeng
Mathias Niepert
Guy Van den Broeck
BDL
136
27
0
04 Oct 2022
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