Simon de Givry | DeepAI

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research

∙ 01/06/2022

Super-Reparametrizations of Weighted CSPs: Properties and Optimization Perspective

The notion of reparametrizations of Weighted CSPs (WCSPs) (also known as...

0 Tomáš Dlask, et al. ∙

research

∙ 06/23/2021

Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming

Bayesian networks are probabilistic graphical models with a wide range o...

0 Fulya Trösser, et al. ∙

research

∙ 06/29/2015

Exact and approximate inference in graphical models: variable elimination and beyond

Probabilistic graphical models offer a powerful framework to account for...

0 Nathalie Peyrard, et al. ∙

research

∙ 01/15/2014

Bounds Arc Consistency for Weighted CSPs

The Weighted Constraint Satisfaction Problem (WCSP) framework allows rep...

0 Matthias Zytnicki, et al. ∙