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Learning to Solve the Constrained Most Probable Explanation Task in
  Probabilistic Graphical Models

Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models

17 April 2024
Shivvrat Arya
Tahrima Rahman
Vibhav Gogate
    TPM
ArXivPDFHTML

Papers citing "Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models"

3 / 3 papers shown
Title
Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference
Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference
Yujia Lou
Jie Liu
Yuan Sheng
Jiawei Wang
Yiwei Zhang
Yaokun Ren
26
5
0
08 Apr 2025
Neural Enhanced Belief Propagation on Factor Graphs
Neural Enhanced Belief Propagation on Factor Graphs
Victor Garcia Satorras
Max Welling
22
85
0
04 Mar 2020
Predicting AC Optimal Power Flows: Combining Deep Learning and
  Lagrangian Dual Methods
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
Ferdinando Fioretto
Terrence W.K. Mak
Pascal Van Hentenryck
AI4CE
76
160
0
19 Sep 2019
1