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Upcoming
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Bregman Proximal Viewpoint on Neural OperatorsUnder review, 2024
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Relax and Penalize - a New Bilevel Approach to Mixed-Binary Hyperparameter OptimizationUnder review, 2023
International Conferences
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A Theoretically Grounded Extension of Universal Attacks from the Attacker's ViewpointEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2024
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Linear Modeling of the Adversarial Noise SpaceEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2024
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Approximation Error of Sobolev Regular Functions with tanh Neural Networks - Theoretical Impact on PINNsEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2024
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Bregman Neural NetworksInternational Conference on Machine Learning (ICML), 2022
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Unveiling Groups of Related Tasks in Multi-Tasks LearningInternational Conference on Pattern Recognition (ICPR), 2020
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Bilevel learning of the group Lasso structureConference on Neural Information Processing Systems (NeurIPS), 2018
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Bayesian-variational scheme to automatically select the regularization parameter in the L1-Potts modelInternational Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
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Non-linear Regression for Bivariate Sef-similarity Identification - Application to Anomaly Detection in Internet Traffic Based on a Joint Scaling Analysis of Packet and Byte CountsInternational Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
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Intrapartum Fetal Heart Rate Classification from Trajectory in Sparse SVM Feature SpaceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
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P-Leader Multifractal Analysis and Sparse SVM for Intrapartum Fetal Acidosis DetectionAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
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Multivariate Optimization for Multifractal-based Texture SegmentationInternational Conference on Image Processing (ICIP), 2015
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Hybrid Bayesian Variational Scheme to Handle Parameter Selection in Total Variation Signal DenoisingEuropean Signal Processing Conference (EUSIPCO), 2014
International Journals
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Sparse Support Vector Machine for Intrapartum Fetal Heart Rate ClassificationIEEE Journal of Biomedical and Health Informatics, 2017
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Bayesian selection for the l2-Potts model regularization parameter - 1D piecewise constant signal denoisingIEEE Transactions on Signal Processing, 2017
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On-the-fly Approximation of Multivariate Total Variation MinimizationIEEE Transactions on Signal Processing, 2016
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Non-Linear Wavelet Regression and Branch and Bound Optimization for the Full Identification of Bivariate Operator Fractional Brownian MotionIEEE Transactions on Signal Processing, 2016
Workshops and National Conferences
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A Bilevel Optimization Framework for Training Bregman Neural OperatorsWorkshop - Fondements Mathématiques de l'IA, 2024
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Bregman Neural Operators for Predicting Fluid DynamicsWorkshop - Machine Learning for Fluid Dynamics, 2024
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Bregman Fourier Neural OperatorsConférence sur l'Apprentissage Automatique (CAp), 2024
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Erreur d’approximation pour les fonctions Sobolev regulières avec des réseaux de reurones tanh - impact théorique sur les PINNsConférence sur l'Apprentissage Automatique (CAp), 2024
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Smooth optimization of orthogonal wavelet basisConférence sur l'Apprentissage Automatique (CAp), 2021
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Adversarial Dictionary LearningConférence sur l'Apprentissage Automatique (CAp), 2021
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Inferring the group Lasso structure via bilevel optimizationICML Workshop - Modern Trends in Nonconvex Optimization for Machine Learning, 2018
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Selection du parametre de regularisation dans le probleme L2-PottsColloque francophone de traitement du signal et des images (GRETSI), 2017
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Multifractal-based texture segmentation using variational procedureImage, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2016
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Variation totale multivariee pour la detection de changement du spectre multifractalColloque francophone de traitement du signal et des images (GRETSI), 2015
Thesis
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Optimization methods for the analysis of scale invariant processesPhD Thesis, 2016