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Nicolas COUELLAN

41
Documents
Identifiants chercheurs

Présentation

See also my [personal page](https://perso.math.univ-toulouse.fr/couellan/)

Publications

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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, In press, ⟨10.1007/s10472-024-09931-z⟩
Article dans une revue hal-04447192v1
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A novel image representation of GNSS correlation for deep learning multipath detection

Antoine Blais , Nicolas Couellan , Evgenii Munin
Article dans une revue hal-03641028v1
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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-02090498v1
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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-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
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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-01718729v1
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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-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 hal-01354854v1
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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-01387802v1

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

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

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
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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-04099716v1
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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-04218733v1
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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-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
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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-02572277v2
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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-02359943v1
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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-02976044v1
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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-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
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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
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

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

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

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

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