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Block sparse linear models for learning structured dynamical systems in aeronautics

Cédric Rommel , Joseph Frédéric Bonnans , Baptiste Gregorutti , Pierre Martinon
2018
Preprints, Working Papers, ... hal-01816400v1
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Online Graph Dictionary Learning

Cédric Vincent-Cuaz , Titouan Vayer , Rémi Flamary , Marco Corneli , Nicolas Courty et al.
ICML 2021 - 38th International Conference on Machine Learning, Jul 2021, Virtual Conference, United States
Conference papers hal-03140349v2
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Optimisation d'interféromètres par algorithmes génétiques

Lionel Taïeb
Intelligence artificielle [cs.AI]. Ecole Polytechnique, 1997. Français. ⟨NNT : ⟩
Theses tel-02987560v1
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Mechanical Inclusions Identification by Evolutionary Computation

Marc Schoenauer , Leila Kallel , François Jouve
Revue Européenne des Éléments Finis, 1996, 5 (5-6), pp.619-648
Journal articles hal-02987520v1
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On functions with a given fitness--distance relation

Leila Kallel , Bart Naudts , Marc Schoenauer
CEC 1999, Jul 1999, Orlando, Fl, USA
Conference papers inria-00001279v1
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Rigorous hitting times for binary mutations

Josselin Garnier , L. Kallel , Marc Schoenauer
Evolutionary Computation, 1999, 7 (2), pp.167-203
Journal articles inria-00001277v1
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Application of a Multi-Objective Evolutionary Algorithm to Topological Optimum Design

Hatem Hamda , Olga Roudenko , Marc Schoenauer
I. C. Parmee. Adaptive Computing in Design and Manufacture V, Springer, pp.121-132, 2002, 978-1852336059
Book sections inria-00000848v1
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Affectation automatique des relecteurs de la conférence PPSN VI : un exemple d'utilisation du language EASEA

Pierre Collet , Evelyne Lutton , Marc Schoenauer
[Research Report] RR-4177, INRIA. 2001, pp.32
Reports inria-00000850v1
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AI-Augmented Multi Function Radar Engineering with Digital Twin: Towards Proactivity

Mathieu Klein , Thomas Carpentier , Eric Jeanclaude , Rami Kassab , Konstantinos Varelas et al.
2020 IEEE International Radar Conference, Sep 2020, Florence, Italy
Conference papers hal-02872199v1
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Fast Incremental Expectation Maximization for finite-sum optimization: nonasymptotic convergence

Gersende Fort , Pierre Gach , Eric Moulines
Statistics and Computing, In press, 31 (48), ⟨10.1007/s11222-021-10023-9⟩
Journal articles hal-02617725v2
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Constrained GA optimization

Marc Schoenauer , Spyros Xanthakis
Proc. 5th International Conference on Genetic Algorithms, Jun 1993, Urbana Champaign, United States. pp.573-580
Conference papers hal-02985385v1
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Topological Optimum Design using Genetic Algorithms

Couro Kane , Marc Schoenauer
Control and Cybernetics, 1996, 25 (5), pp.1059-1088
Journal articles hal-02985038v1
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Genetic Extensions of Neural Net Learning: Transfer Functions and Renormalisation Coefficients

Marc Schoenauer , Edmund Ronald
Proc. EA94, the first Evolution Artificielle conference, Sep 1994, Toulouse, France
Conference papers hal-02985496v1
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Controlling Crossover through Inductive Learning

Michèle Sebag , Marc Schoenauer
Proc. PPSN III - Parallel Problem Solving from Nature, Sep 1994, Jerusalem, Israel. pp.209-218
Conference papers hal-02985520v1
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Optimum Design et Algorithmes Génétiques

Couro Kane
Intelligence artificielle [cs.AI]. Université Paris 6 - Pierre et Marie Curie, 1996. Français. ⟨NNT : ⟩
Theses tel-02987562v1

An induction-based control for genetic algorithms

C. Ravisé , Michèle Sebag , Marc Schoenauer
Evolution Artificielle'95, 1996, Brest, France. pp.100-119, ⟨10.1007/3-540-59286-5_85⟩
Conference papers hal-00116438v1
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Convex and Spectral Relaxations for Phase Retrieval, Seriation and Ranking

Fajwel Fogel
Optimization and Control [math.OC]. Ecole Doctorale de l'Ecole Polytechnique, 2015. English. ⟨NNT : ⟩
Theses tel-01265606v1

Optimal Affine-Invariant Smooth Minimization Algorithms

Alexandre d'Aspremont , Cristobal Guzman , Martin Jaggi
SIAM Journal on Optimization, 2018, 28 (3), pp.2384 - 2405. ⟨10.1137/17M1116842⟩
Journal articles hal-01927392v1
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Gaussian Graphical Model exploration and selection in high dimension low sample size setting

Thomas Lartigue , Simona Bottani , Stephanie Baron , Olivier Colliot , Stanley Durrleman et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 43 (9), pp.3196-3213. ⟨10.1109/TPAMI.2020.2980542⟩
Journal articles hal-02504034v1
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Dynamic Air Traffic Planning by Genetic Algorithms

Sofiane Oussedik , Daniel Delahaye , Marc Schoenauer
CEC 1999, Jul 1999, Washington DC, USA, United States
Conference papers inria-00001278v1
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Per instance algorithm configuration of CMA-ES with limited budget

Nacim Belkhir , Johann Dreo , Pierre Savéant , Marc Schoenauer
GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference , Jul 2017, Berlin, Germany. pp. 681-688
Conference papers hal-01613753v1
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Algorithmes évolutionnaires assistés par des méthodes d'apprentissage en grandes dimensions

Kamal Abboud
Intelligence artificielle [cs.AI]. Ecole Polytechnique, 2004. Français. ⟨NNT : ⟩
Theses tel-02987567v1
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Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning

Aymeric Dieuleveut , Gersende Fort , Eric Moulines , Hoi-To Wai
2023
Preprints, Working Papers, ... hal-03979922v1
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Evolutionary Algorithms for Constrained Parameter Optimization Problems

Zbigniew Michalewicz , Marc Schoenauer
Evolutionary Computation, 1996, 4 (1), pp.1-32
Journal articles hal-02986407v1
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Shape Representations and Evolution Schemes

Marc Schoenauer
Fifth Annual Conference on Evolutionary Programming, Sep 1996, San Diego, United States
Conference papers hal-02987523v1
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Interpretable Random Forests via Rule Extraction

Clément Bénard , Gérard Biau , Sébastien da Veiga , Erwan Scornet
Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, 130, pp.937-945, 2021
Proceedings hal-02557113v4
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The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction

Alice Martin , Charles Ollion , Florian Strub , Sylvain Le Corff , Olivier Pietquin et al.
2020
Preprints, Working Papers, ... hal-02896961v2
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Evolutionary Algorithms as fitness function debuggers

Frédéric Mansanne , Frédéric Carrère , Andréas Ehinger , Marc Schoenauer
Raś, ZbigniewW. and Skowron, Andrzej. Foundations of Intelligent Systems, 1609, Springer Verlag, pp.639-647, 1999, Lecture Notes in Computer Science, 978-3-540-65965-5. ⟨10.1007/BFb00910.1007/BFb00951535153⟩
Book sections hal-01225296v1
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Non-parametric identification of geological models

Marc Schoenauer , Andreas Ehinger , Bertrand Braunschweig
IEEE Congress on Evolutionary Computation, IEEE, May 1998, Anchorage, United States. pp.136-141, ⟨10.1109/ICEC.1998.699490⟩
Conference papers hal-01225301v1
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On Invariance and Linear Convergence of Evolution Strategies with Augmented Lagrangian Constraint Handling

Asma Atamna , Anne Auger , Nikolaus Hansen
Theoretical Computer Science, 2020, 832, pp.68-97. ⟨10.1016/j.tcs.2018.10.006⟩
Journal articles hal-01660728v3