Nicolas COUELLAN Professeur (Equiv. rang A), Ecole Nationale de l'Aviation Civile

Identifiants chercheurs

IdHAL :

nicolas-couellan

ORCID :

0000-0003-3775-1468

IdRef :

231851022

arXiv :

couellan_n_1

Présentation

See also my personal page

Publications

Article dans une revue (21)

Mixed integer quadratically constrained quadratic programming for neural network Lipschitz constant computation Nicolas Couëllan,Sophie Jan,Mohammed Sbihi European Journal of Operational Research, 2026, 331 (3), pp.916-924. ⟨10.1016/j.ejor.2025.12.019⟩ Article dans une revue hal-05415267v1
A time-dependent subgraph-capacity model for multiple shortest paths and application to CO2/contrail-safe aircraft trajectories Céline Demouge,Marcel Mongeau,Nicolas Couellan,Daniel Delahaye SN Operations Research Forum, 2024, 5 (3), pp.71. ⟨10.1007/s43069-024-00347-3⟩ Article dans une revue hal-03900872v2
Adversarial attacks on neural networks through canonical Riemannian foliations Eliot Tron,Nicolas Couellan,Stephane Puechmorel Machine Learning, 2024, 113, pp.8655-8686. ⟨10.1007/s10994-024-06624-w⟩ Article dans une revue hal-04701803v1
Climate-aware air traffic flow management optimization via column generation Céline Demouge,Marcel Mongeau,Nicolas Couellan,Daniel Delahaye Transportation research. Part C, Emerging technologies, 2024, 166, pp.104792. ⟨10.1016/j.trc.2024.104792⟩ Article dans une revue hal-04370997v1
Theoretical aspects of robust SVM optimization in Banach spaces and Nash equilibrium interpretation Mohammed Sbihi,Nicolas Couellan Annals of Mathematics and Artificial Intelligence, 2024, Vol. 92, p. 1273-1293. ⟨10.1007/s10472-024-09931-z⟩ Article dans une revue hal-04447192v1
Cartan moving frames and the data manifolds Eliot Tron,Rita Fioresi,Nicolas Couellan,Stéphane Puechmorel information geometry, 2024, 7 (Suppl 2), pp. 883-912. ⟨10.1007/s41884-024-00159-8⟩ Article dans une revue hal-04701811v2
Distributional loss for convolutional neural network regression and application to parameter estimation in satellite navigation signals Thomas Gonzàlez,Antoine Blais,Nicolas Couëllan,Christian Ruiz Expert Systems with Applications, 2024, 255, Part C, pp.124682. ⟨10.1016/j.eswa.2024.124682⟩ Article dans une revue hal-04636001v1
A novel image representation of GNSS correlation for deep learning multipath detection Antoine Blais,Nicolas Couellan,Evgenii Munin Array, 2022, 14, pp.100167. ⟨10.1016/j.array.2022.100167⟩ Article dans une revue hal-03641028v1
The coupling effect of Lipschitz regularization in neural networks Nicolas Couellan SN Computer Science, 2021, 2 (2), pp.113. ⟨10.1007/s42979-021-00514-x⟩ Article dans une revue hal-02090498v1
Probabilistic Robustness Estimates for Feed-forward Neural Networks Nicolas Couellan Neural Networks, 2021, 142, pp.138-147. ⟨10.1016/j.neunet.2021.04.037⟩ Article dans une revue hal-03213024v1
A Chernov bound for robust tolerance design and application Ambre Diet,Nicolas Couellan,Xavier Gendre,Julien Martin International Journal of Advanced Manufacturing Technology, 2020, 111, pp.3571-3581. ⟨10.1007/s00170-020-06231-8⟩ Article dans une revue hal-02442568v1
Feature uncertainty bounds for explicit feature maps and large robust nonlinear SVM classifiers Nicolas Couellan,Sophie Jan Annals of Mathematics and Artificial Intelligence, 2020, 88 (1-3), pp.269-289. ⟨10.1007/s10472-019-09676-0⟩ Article dans une revue hal-01718729v1
A note on supervised classification and Nash-equilibrium problems Nicolas Couellan RAIRO - Operations Research, 2017, 51 (2), pp.329-341. ⟨10.1051/ro/2016024⟩ Article dans une revue hal-01354857v1
Uncertainty-safe large scale support vector machines Nicolas Couellan,Wenjuan Wang Computational Statistics and Data Analysis, 2017, 109, pp.215 - 230. ⟨10.1016/j.csda.2016.12.008⟩ Article dans une revue hal-01921969v1
Bi-level Stochastic Gradient for Large Scale Support Vector Machine Nicolas Couellan,Wenjuan Wang Neurocomputing, 2015, 153, pp.300-308. ⟨10.1016/j.neucom.2014.11.025⟩ Article dans une revue istex hal-01354854v1
Self Adaptive Support Vector Machine: A Multi-Agent Optimization Perspective Nicolas Couellan,Tom Jorquera,Jean-Pierre Georgé,Sophie Jan Expert Systems with Applications, 2015, 42 (9), pp.4284-4298. ⟨10.1016/j.eswa.2015.01.028⟩ Article dans une revue hal-01387802v1
An incremental primal-dual method for nonlinear programming with special structure Nicolas Couellan,Theodore B. Trafalis Optimization Letters, 2013, 7 (1), p. 51-62. ⟨10.1007/s11590-011-0393-0⟩ Article dans une revue hal-00965828v1
On-line SVM learning via an incremental primal-dual technique Nicolas Couellan,Theodore B. Trafalis Optimization Methods and Software, 2013, 28 (2), p. 256-275. ⟨10.1080/10556788.2011.633705⟩ Article dans une revue hal-00965822v1
Incremental accelerated gradient methods for SVM classification : study of the constrained approach Nicolas Couellan,Sophie Jan Computational Management Science, 2013 Article dans une revue hal-00955704v1
An Incremental Nonlinear Primal-Dual Algorithm and Applications to Artificial Neural Networks Training Theodore Trafalis,Nicolas Couellan IFAC Proceedings Volumes, 1998, 31 (20), pp.1003 - 1009. ⟨10.1016/S1474-6670(17)41929-X⟩ Article dans une revue hal-01922713v1
Neural network training via an affine scaling quadratic optimization algorithm Nicolas Couellan,Theodore B. Trafalis Neural Networks, 1996, 9 (3), pp.475-481 Article dans une revue hal-01354862v1

Communication dans un congrès (17)

Wasserstein distance based semi-supervised manifold learning for GNSS multipath detection Antoine Blais,Nicolas Couellan GdR IASIS - Journée Méthodes d'apprentissage pour la navigation et le pistage, Audrey Giremus; Gael Pages, Jul 2025, Toulouse, France Communication dans un congrès hal-05156654v1
Optimisation d'un ensemble de routes aériennes pour minimiser l'impact environnemental des traînées de condensation Céline Demouge,Marcel Mongeau,Nicolas Couellan 24ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, ROADEF, Feb 2023, Rennes, France Communication dans un congrès hal-04611943v1
Multipath Parameters Estimation in Physically Based Synthetic Environment Using Robust Deep Neural Regression Thomas Gonzalez,Antoine Blais,Nicolas Couellan,Christian Ruiz 2023 International Technical Meeting of The Institute of Navigation, Jan 2023, Long Beach, United States. pp.808-822, ⟨10.33012/2023.18654⟩ Communication dans un congrès hal-04099716v1
LRP-GUS: A Visual Based Data Reduction Algorithm for Neural Networks Arnaud Guibert,Christophe Hurter,Nicolas Couellan ICANN 2023: Artificial Neural Networks and Machine Learning, Sep 2023, Heraklion, Greece. pp.337-349, ⟨10.1007/978-3-031-44192-9_27⟩ Communication dans un congrès hal-04218733v1
Modèle paramétrique pour estimer la dégradation de la fiabilité de démarrage d’une turbine à gaz à partir de données d’essais Artashes Asoyan,Eric Bondivenne,Nicolas Couellan,Sophie Humbert,Thierry Klein 23ème Congrès Lambda-Mu 23 de maïtrise des risques et de sûreté de fonctionnement (2022), Oct 2022, Paris Saclay, France. pp.1-6 Communication dans un congrès hal-03820777v1
GNSS Multipath Detection using Embedded Deep CNN on Intel Neural Compute Stick Evgenii Munin,Antoine Blais,Nicolas Couellan ION GNSS+ 2020, 33rd International Technical Meeting of the Satellite Division of the Institute of Navigation, Sep 2020, Virtual event, United States. pp. 2018-2029., ⟨10.33012/2020.17654⟩ Communication dans un congrès hal-02964023v1
Probabilistic Robustness Estimates for Deep Neural Networks Nicolas Couellan ICML workshop on Uncertainty and Robustness in Deep Learning, International Conference on Machine Learning (ICML), Jul 2020, Virtual Conference, United States Communication dans un congrès hal-02572277v2
Convolutional Neural Network for Multipath Detection in GNSS Receivers Evgenii Munin,Antoine Blais,Nicolas Couellan AIDA-AT 2020, 1st conference on Artificial Intelligence and Data Analytics in Air Transportation, Feb 2020, Singapore, Singapore. ⟨10.1109/AIDA-AT48540.2020.9049188⟩ Communication dans un congrès hal-02359943v1
A statistical approach for tolerancing from design stage to measurements analysis Ambre Diet,Nicolas Couellan,Xavier Gendre,Julien Martin,Jean-Philippe Navarro CIRP CAT 2020 16th CIRP Conference on Computer Aided Tolerancing, Jun 2020, Virtual event, United States. pp.33-38, ⟨10.1016/j.procir.2020.05.171⟩ Communication dans un congrès hal-02976044v1
On the Use of Generative Adversarial Networks for Aircraft Trajectory Generation and Atypical Approach Detection Gabriel Jarry,Nicolas Couellan,Daniel Delahaye EIWAC 2019:, 6th ENRI International Workshop on ATM/CNS, Oct 2019, Tokyo, Japan. pp 227-243 / ISBN 978-981-33-4668-0, ⟨10.1007/978-981-33-4669-7_13⟩ Communication dans un congrès hal-02267170v1
Bi-level Stochastic Gradient for Large Scale Support Vector Machine Nicolas Couellan,Wenjuan Wang 12th EUROPT Workshop on Continuous Optimization, 2014, Perpignan, France Communication dans un congrès hal-01923085v1
A Natural Formalism and a Multi-Agent Algorithm for Integrative Multidisciplinary Design Optimization (Workshop @ AAMAS 2013) Tom Jorquera,Jean-Pierre Georgé,Marie-Pierre Gleizes,Nicolas Couellan,Victor Noëlet al. International Workshop on Optimisation in Multi-Agent Systems @ Twelfth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2013), May 2013, Saint Paul, Minnesota, United States. pp.1-18 Communication dans un congrès hal-03792676v1
An Adaptive Weighted Kernel Technique for Online Training with Imbalanced Data Nicolas Couellan,Theodore B. Trafalis EURO 2012, 25th European Conference on Operational Research, 2012, Vinius, Lithuania Communication dans un congrès hal-01923087v1
An Incremental Interior Point Method for On-line SVM Learning Nicolas Couellan,Theodore B. Trafalis AFG’11: 15th Austrian-French-German Conference on Optimization, 2011, Toulouse, France Communication dans un congrès hal-01923089v1
Affine scaling neural network training algorithm for prediction of tornados Nicolas Couellan,Theodore B. Trafalis,P. Li I.,Greg Stumpf,Andy White Intelligent Engineering Systems Through Artificial Neural Networks, 1997, New York, France. pp. 213-218 Communication dans un congrès hal-01922705v1
Training of supervised neural networks via a nonlinear primal-dual interior-point method Nicolas Couellan,T.B. Trafalis,S.C. Bertrand International Conference on Neural Networks (ICNN'97), Jun 1997, Houston, United States. ⟨10.1109/ICNN.1997.614210⟩ Communication dans un congrès hal-01922685v1
Neural Network training via a primal-dual interior point method for nonlinear programming Nicolas Couellan,Theodore B. Trafalis World Congress on Neural Networks: 1994 International Neural Network Society Annual Meeting, 1994, Hillsdale, NJ, United States Communication dans un congrès hal-01922751v1

Chapitre d'ouvrage (3)

On the Use of Generative Adversarial Networks for Aircraft Trajectory Generation and Atypical Approach Detection Gabriel Jarry,Daniel Delahaye,Nicolas Couellan Springer. Air Traffic Management and Systems IV. Selected Papers of the 6th ENRI International Workshop on ATM/CNS. Lecture Notes in Electrical Engineering 731., 2021, 978-981-33-4669-7. ⟨10.1007/978-981-33-4669-7_13⟩ Chapitre d'ouvrage hal-03644195v1
Interior Point Methods for Supervised Training of Artificial Neural Networks with Bounded Weights Nicolas Couellan,Theodore B. Trafalis,Tarek A. Tutunji Pardalos P.M., Hearn D.W., Hager W.W. Network Optimization, 450, Springer, Berlin, Heidelberg, 1997, Lecture Notes in Economics and Mathematical Systems, ⟨10.1007/978-3-642-59179-2_22⟩ Chapitre d'ouvrage hal-01922663v1
Neural Network Training via Quadratic Programming Nicolas Couellan,Theodore B. Trafalis Barr R.S., Helgason R.V., Kennington J.L. Interfaces in Computer Science and Operations Research, 7, Springer, 1997 Chapitre d'ouvrage hal-01922634v1

Pré-publication, Document de travail (5)

MIQCQP reformulation of the ReLU neural networks Lipschitz constant estimation problem Mohammed Sbihi,Sophie Jan,Nicolas Couellan 2024 Pré-publication, Document de travail hal-04431914v1
Robust SVM Optimization in Banach spaces Mohammed Sbihi,Nicolas Couellan 2022 Pré-publication, Document de travail hal-03945219v1
Canonical foliations of neural networks: application to robustness Eliot Tron,Nicolas Couellan,Stéphane Puechmorel 2022 Pré-publication, Document de travail hal-03593479v2
Using Wasserstein-2 regularization to ensure fair decisions with Neural-Network classifiers Laurent Risser,Quentin Vincenot,Nicolas Couellan,Jean-Michel Loubes 2019 Pré-publication, Document de travail hal-02271117v1
On the convergence of a stochastic approximation method for structured bi-level optimization Nicolas Couellan,Wenjuan Wang 2018 Pré-publication, Document de travail hal-01932372v1

Rapport (1)

Report on CIMI Thematic Trimester: Machine Learning Stergos Afantenos,Nicolas Couellan,Aurélien Garivier,Sébastien Gerchinovitz,Jean-Michel Loubeset al. [Rapport de recherche] IRIT : Institut de Recherche en Informatique de Toulouse. 2016 Rapport (rapport de recherche) hal-03155046v1

Logiciel (1)

Time dependent contrails avoidance at network scale Céline Demouge,Marcel Mongeau,Nicolas Couellan,Daniel Delahaye 2023, ⟨swh:1:dir:f9c3f5c69fe7f5700c5f66f480b534efd372149f⟩ Logiciel hal-04532626v1

N°spécial de revue/special issue (1)

Foreword Giancarlo Bigi,Sonia Cafieri,Nicolas Couëllan,Sophie Jan,Frédéric Messine Optimization Methods and Software, 39 (1), pp.1-3, 2024, Special Issue: Advances in Continuous Optimization, ⟨10.1080/10556788.2024.2353488⟩ N°spécial de revue/special issue hal-04672621v1