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Nicolas COUELLAN
9
Documents
Identifiants chercheurs
- nicolas-couellan
- Arxiv : couellan_n_1
- IdRef : 231851022
- 0000-0003-3775-1468
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 interpretationAnnals of Mathematics and Artificial Intelligence, inPress, ⟨10.1007/s10472-024-09931-z⟩
Article dans une revue
hal-04447192v1
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The coupling effect of Lipschitz regularization in neural networksSN 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 NetworksNeural Networks, 2021, 142, pp.138-147. ⟨10.1016/j.neunet.2021.04.037⟩
Article dans une revue
hal-03213024v1
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Feature uncertainty bounds for explicit feature maps and large robust nonlinear SVM classifiersAnnals 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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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⟩
Communication dans un congrès
hal-02359943v1
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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
Communication dans un congrès
hal-02572277v2
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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⟩
Communication dans un congrès
hal-02267170v1
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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⟩
Chapitre d'ouvrage
hal-03644195v1
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Canonical foliations of neural networks: application to robustness2022
Pré-publication, Document de travail
hal-03593479v2
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