Nicolas COUELLAN

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

Documents

Affiliations actuelles

Institut de Mathématiques de Toulouse UMR5219 (IMT)
Ecole Nationale de l'Aviation Civile (ENAC)

Identifiants chercheurs

Présentation

Publications

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

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-04636001v2

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

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

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

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

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

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

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

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

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

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 Noël et 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

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