Nicolas COUELLAN

47
Documents
Affiliations actuelles
  • Institut de Mathématiques de Toulouse UMR5219 (IMT)
  • Ecole Nationale de l'Aviation Civile (ENAC)

Présentation

See also my personal page

Publications

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Publications

Image document

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-04370997 v1
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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-04701803 v1
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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-03900872 v2
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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-04447192 v1
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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-04701811 v2
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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-04636001 v1
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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-03641028 v1
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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-03213024 v1
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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-02090498 v1

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-02442568 v1
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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-01718729 v1
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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-01354857 v1

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-01921969 v1
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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-01387802 v1

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 hal-01354854 v1

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-00965828 v1

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-00965822 v1

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-00955704 v1

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-01922713 v1

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-01354862 v1
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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-04218733 v1
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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-04611943 v1
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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-04099716 v1
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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-03820777 v1
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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-02359943 v1
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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-02976044 v1

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-02964023 v1
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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-02572277 v2
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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-02267170 v1

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-01923085 v1
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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-03792676 v1

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-01923087 v1

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-01923089 v1

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-01922705 v1

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-01922685 v1

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-01922751 v1

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-03644195 v1

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-01922663 v1

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-01922634 v1

Report on CIMI Thematic Trimester: Machine Learning

Stergos Afantenos , Nicolas Couellan , Aurélien Garivier , Sébastien Gerchinovitz , Jean-Michel Loubes et al.
[Rapport de recherche] IRIT : Institut de Recherche en Informatique de Toulouse. 2016
Rapport (rapport de recherche) hal-03155046 v1

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-04672621 v1