Nicolas COUELLAN
- Institut de Mathématiques de Toulouse UMR5219 (IMT)
- Ecole Nationale de l'Aviation Civile (ENAC)
Présentation
See also my personal page
Publications
Publications
Wasserstein distance based semi-supervised manifold learning for GNSS multipath detectionGdR IASIS - Journée Méthodes d'apprentissage pour la navigation et le pistage, Audrey Giremus; Gael Pages, Jul 2025, Toulouse, France |
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Optimisation d'un ensemble de routes aériennes pour minimiser l'impact environnemental des traînées de condensation24ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, ROADEF, Feb 2023, Rennes, France |
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Multipath Parameters Estimation in Physically Based Synthetic Environment Using Robust Deep Neural Regression2023 International Technical Meeting of The Institute of Navigation, Jan 2023, Long Beach, United States. pp.808-822, ⟨10.33012/2023.18654⟩ |
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LRP-GUS: A Visual Based Data Reduction Algorithm for Neural NetworksICANN 2023: Artificial Neural Networks and Machine Learning, Sep 2023, Heraklion, Greece. pp.337-349, ⟨10.1007/978-3-031-44192-9_27⟩ |
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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’essais23ème Congrès Lambda-Mu 23 de maïtrise des risques et de sûreté de fonctionnement (2022), Oct 2022, Paris Saclay, France. pp.1-6 |
GNSS Multipath Detection using Embedded Deep CNN on Intel Neural Compute StickION 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⟩ |
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Probabilistic Robustness Estimates for Deep Neural NetworksICML workshop on Uncertainty and Robustness in Deep Learning, International Conference on Machine Learning (ICML), Jul 2020, Virtual Conference, United States |
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Convolutional Neural Network for Multipath Detection in GNSS ReceiversAIDA-AT 2020, 1st conference on Artificial Intelligence and Data Analytics in Air Transportation, Feb 2020, Singapore, Singapore. ⟨10.1109/AIDA-AT48540.2020.9049188⟩ |
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A statistical approach for tolerancing from design stage to measurements analysisCIRP 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⟩ |
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On the Use of Generative Adversarial Networks for Aircraft Trajectory Generation and Atypical Approach DetectionEIWAC 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⟩ |
Bi-level Stochastic Gradient for Large Scale Support Vector Machine12th EUROPT Workshop on Continuous Optimization, 2014, Perpignan, France |
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A Natural Formalism and a Multi-Agent Algorithm for Integrative Multidisciplinary Design Optimization (Workshop @ AAMAS 2013)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 |
An Adaptive Weighted Kernel Technique for Online Training with Imbalanced DataEURO 2012, 25th European Conference on Operational Research, 2012, Vinius, Lithuania |
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An Incremental Interior Point Method for On-line SVM LearningAFG’11: 15th Austrian-French-German Conference on Optimization, 2011, Toulouse, France |
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Affine scaling neural network training algorithm for prediction of tornadosIntelligent Engineering Systems Through Artificial Neural Networks, 1997, New York, France. pp. 213-218 |
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Training of supervised neural networks via a nonlinear primal-dual interior-point methodInternational Conference on Neural Networks (ICNN'97), Jun 1997, Houston, United States. ⟨10.1109/ICNN.1997.614210⟩ |
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Neural Network training via a primal-dual interior point method for nonlinear programmingWorld Congress on Neural Networks: 1994 International Neural Network Society Annual Meeting, 1994, Hillsdale, NJ, United States |
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On the Use of Generative Adversarial Networks for Aircraft Trajectory Generation and Atypical Approach DetectionSpringer. 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⟩ |
Interior Point Methods for Supervised Training of Artificial Neural Networks with Bounded WeightsPardalos 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⟩ |
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Neural Network Training via Quadratic ProgrammingBarr R.S., Helgason R.V., Kennington J.L. Interfaces in Computer Science and Operations Research, 7, Springer, 1997 |
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MIQCQP reformulation of the ReLU neural networks Lipschitz constant estimation problem2024 |
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Robust SVM Optimization in Banach spaces2022 |
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Canonical foliations of neural networks: application to robustness2022 |
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Using Wasserstein-2 regularization to ensure fair decisions with Neural-Network classifiers2019 |
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On the convergence of a stochastic approximation method for structured bi-level optimization2018 |
Report on CIMI Thematic Trimester: Machine Learning[Rapport de recherche] IRIT : Institut de Recherche en Informatique de Toulouse. 2016 |
ForewordOptimization Methods and Software, 39 (1), pp.1-3, 2024, Special Issue: Advances in Continuous Optimization, ⟨10.1080/10556788.2024.2353488⟩ |