activity
20092020
most citedPrediction of Parallel Speed-ups for Las Vegas Algorithms

14 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2020★ 1 cited

Modular Constraint Solver Cooperation via Abstract Interpretation

Pierre Talbot, Éric Monfroy, Charlotte Truchet

Cooperation among constraint solvers is difficult because different solving paradigms have different theoretical foundations. Recent works have shown that abstract interpretation c…

cs.LO2017

Reachability in Parametric Interval Markov Chains using Constraints

Anicet Bart, Benoit Delahaye, Didier Lime +2

Parametric Interval Markov Chains (pIMCs) are a specification formalism that extend Markov Chains (MCs) and Interval Markov Chains (IMCs) by taking into account imprecision in the…

cs.AI2016

A Probabilistic-Based Model for Binary CSP

Amine Balafrej, Xavier Lorca, Charlotte Truchet

This work introduces a probabilistic-based model for binary CSP that provides a fine grained analysis of its internal structure. Assuming that a domain modification could occur in…

cs.DC2012★ 14 cited

Prediction of Parallel Speed-ups for Las Vegas Algorithms

Charlotte Truchet, Florian Richoux, Philippe Codognet

We propose a probabilistic model for the parallel execution of Las Vegas algorithms, i.e., randomized algorithms whose runtime might vary from one execution to another, even with t…

cs.AI2009★ 3 cited

Sonet Network Design Problems

Marie Pelleau, Pascal Van Hentenryck, Charlotte Truchet

This paper presents a new method and a constraint-based objective function to solve two problems related to the design of optical telecommunication networks, namely the Synchronous…