242 citations
- Institut national de recherche en sciences et technologies du numériqueFR103 papers
- Laboratoire de Recherche en InformatiqueFR17 papers
- École PolytechniqueFR10 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR9 papers
- Centre National de la Recherche ScientifiqueFR8 papers
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- Université Paris-SudFR8 papers
- InsermFR6 papers
- Laboratoire de Mathématiques d'OrsayFR5 papers
- CEA Paris-SaclayFR4 papers
- Laboratoire de Mathématiques Blaise PascalFR4 papers
- Laboratoire Lorrain de Recherche en Informatique et ses ApplicationsFR4 papers
34 papers · 1 filter
Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal +2
All standard AI planners to-date can only handle a single objective, and the only way for them to take into account multiple objectives is by aggregation of the objectives. Further…
Partition Refinement for Bisimilarity in CCP
Andrés Aristizábal, Filippo Bonchi, Luis Pino +1
Saraswat's concurrent constraint programming (ccp) is a mature formalism for modeling processes (or programs) that interact by telling and asking constraints in a global medium, ca…
Cumulative Step-size Adaptation on Linear Functions
Alexandre Chotard, Anne Auger, Nikolaus Hansen
The CSA-ES is an Evolution Strategy with Cumulative Step size Adaptation, where the step size is adapted measuring the length of a so-called cumulative path. The cumulative path is…
The Refined Calculus of Inductive Construction: Parametricity and Abstraction
Chantal Keller, Marc Lasson
We present a refinement of the Calculus of Inductive Constructions in which one can easily define a notion of relational parametricity. It provides a new way to automate proofs in…
Objective Improvement in Information-Geometric Optimization
Youhei Akimoto, Yann Ollivier
Information-Geometric Optimization (IGO) is a unified framework of stochastic algorithms for optimization problems. Given a family of probability distributions, IGO turns the origi…
Small time heat kernel asymptotics at the cut locus on surfaces of revolution
Davide Barilari, Jacek Jendrej
In this paper we investigate the small time heat kernel asymptotics on the cut locus on a class of surfaces of revolution, which are the simplest 2-dimensional Riemannian manifolds…