2025

1. Using Signatures and Koopman operators to learn non-linear dynamics

   S. Chrétien, B. Gao, J. Patracone, and O. Alata

   International Conference on Geometric Science of Information (GSI), 2025
   Article Page
2. Tukey-Median of Means-Gradients for Langevin Dynamics - a Robust Approach to Fitting Machine Learning Models

   S. Chrétien, B. Gao, J. Patracone, A.-R. Mezidi and O. Alata

   preprint, 2025
   Article Page
3. Apprentissage incrémental de l'opérateur de Koopman pour systèmes non-autonomes via prédiction conforme

   B. Gao, J. Patracone, O. Alata, and S. Chrétien

   Colloque francophone de traitement du signal et des images (GRETSI), 2025
   Article Page
4. Conformal Online Learning of Deep Koopman Linear Embeddings

   B. Gao, J. Patracone, O. Alata, and S. Chrétien

   Conference on Neural Information Processing Systems (NeurIPS), 2025
   Article Page
5. When to Learn - Conformal Scores as Online Update Criteria

   B. Gao, J. Patracone, O. Alata, and S. Chrétien

   COLT Workshop - Predictions and Uncertainty, 2025
   Article Page
6. A Bregman Proximal Viewpoint on Neural Operators

   A.-R. Mezidi, J. Patracone, S. Salzo, A. Habrard, M. Pontil, R. Emonet and M. Sebban

   International Conference on Machine Learning (ICML), 2025
   Article Page
7. Douglas-Rachford Splitting for Hybrid Differentiable Models

   A.-R. Mezidi, J. Patracone and A. Habrard

   EurIPS Workshop - Differentiable Systems and Scientific Machine Learning (DiffSys), 2025
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8. Relax and Penalize - a New Bilevel Approach to Mixed-Binary Hyperparameter Optimization

   S. Venturini, M. De Santis, J. Patracone, F. Rinaldi, S. Salzo, and M. Schmidt

   Transactions on Machine Learning Research (TMLR), 2025
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2024

1. Erreur d’approximation pour les fonctions Sobolev regulières avec des réseaux de neurones tanh - impact théorique sur les PINNs

   B. Girault, R. Emonet, A. Habrard, J. Patracone and M. Sebban

   Conférence sur l'Apprentissage Automatique (CAp), 2024
   Article Page
2. Approximation Error of Sobolev Regular Functions with tanh Neural Networks - Theoretical Impact on PINNs

   B. Girault, R. Emonet, A. Habrard, J. Patracone and M. Sebban

   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2024
   Article Page
3. Bregman Fourier Neural Operators

   A.-R. Mezidi, R. Emonet, J. Patracone, A. Habrard, M. Pontil, S. Salzo and M. Sebban

   Conférence sur l'Apprentissage Automatique (CAp), 2024
   Article Page
4. Bregman Neural Operators for Predicting Fluid Dynamics

   A.-R. Mezidi, R. Emonet, J. Patracone, A. Habrard, S. Salzo and M. Sebban

   Workshop - Machine Learning for Fluid Dynamics, 2024
   Article Page
5. A Bilevel Optimization Framework for Training Bregman Neural Operators

   A.-R. Mezidi, R. Emonet, J. Patracone, A. Habrard, S. Salzo and M. Sebban

   Workshop - Fondements Mathématiques de l'IA, 2024
   Article Page
6. Linear Modeling of the Adversarial Noise Space

   J. Patracone, L. Anquetil, Y. Liu, G. Gasso and S. Canu

   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2024
   Article Page
7. A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint

   J. Patracone, P. Viallard, E. Morvant, G. Gasso, A. Habrard and S. Canu

   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2024
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2022

1. Bregman Neural Networks

   J. Frecon, G. Gasso, M. Pontil and S. Salzo

   International Conference on Machine Learning (ICML), 2022
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2021

1. Adversarial Dictionary Learning

   J. Frecon, L. Anquetil, G. Gasso and S. Canu

   Conférence sur l'Apprentissage Automatique (CAp), 2021
   Article Page
2. Smooth optimization of orthogonal wavelet basis

   J. Frecon, R. Grazzi, S. Salzo and M. Pontil

   Conférence sur l'Apprentissage Automatique (CAp), 2021
   Article Page

2020

1. Unveiling Groups of Related Tasks in Multi-Tasks Learning

   J. Frecon, S. Salzo, and M. Pontil

   International Conference on Pattern Recognition (ICPR), 2020
   Article Page

2018

1. Inferring the group Lasso structure via bilevel optimization

   J. Frecon, S. Salzo, and M. Pontil

   ICML Workshop - Modern Trends in Nonconvex Optimization for Machine Learning, 2018
   Article Page
2. Bilevel learning of the group Lasso structure

   J. Frecon, S. Salzo, and M. Pontil

   Conference on Neural Information Processing Systems (NeurIPS), 2018
   Article Page

2017

1. Bayesian selection for the l2-Potts model regularization parameter - 1D piecewise constant signal denoising

   J. Frecon, N. Pustelnik, N. Dobigeon, H. Wendt and P. Abry

   IEEE Transactions on Signal Processing, 2017
   Article Page
2. Selection du parametre de regularisation dans le probleme L2-Potts

   J. Frecon, N. Pustelnik, N. Dobigeon, H. Wendt and P. Abry

   Colloque francophone de traitement du signal et des images (GRETSI), 2017
   Article Page
3. Bayesian-variational scheme to automatically select the regularization parameter in the L1-Potts model

   J. Frecon, N. Pustelnik, N. Dobigeon, H. Wendt and P. Abry

   International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
   Article Page
4. Sparse Support Vector Machine for Intrapartum Fetal Heart Rate Classification

   J. Spilka, J. Frecon, R.F. Leonarduzzi, N. Pustelnik, P. Abry, and M. Doret

   IEEE Journal of Biomedical and Health Informatics, 2017
   Article Page

2016

1. Non-Linear Wavelet Regression and Branch and Bound Optimization for the Full Identification of Bivariate Operator Fractional Brownian Motion

   J. Frecon, G. Didier, N. Pustelnik and P. Abry

   IEEE Transactions on Signal Processing, 2016
   Article Page
2. On-the-fly Approximation of Multivariate Total Variation Minimization

   J. Frecon, N. Pustelnik, P. Abry, and L. Condat

   IEEE Transactions on Signal Processing, 2016
   Article Page
3. Multifractal-based texture segmentation using variational procedure

   J. Frecon, N. Pustelnik, H. Wendt, L. Condat and P. Abry

   Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2016
   Article Page
4. 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 Counts

   J. Frecon, R. Fontugne, G. Didier, N. Pustelnik, K. Fukuda and P. Abry

   International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
   Article Page
5. Optimization methods for the analysis of scale invariant processes

   J. Frecon

   PhD Thesis, 2016
   Article Page

2015

1. Variation totale multivariee pour la detection de changement du spectre multifractal

   J. Frecon, N. Pustelnik, H. Wendt and P. Abry

   Colloque francophone de traitement du signal et des images (GRETSI), 2015
   Article Page
2. Multivariate Optimization for Multifractal-based Texture Segmentation

   J. Frecon, N. Pustelnik, H. Wendt and P. Abry

   International Conference on Image Processing (ICIP), 2015
   Article Page
3. P-Leader Multifractal Analysis and Sparse SVM for Intrapartum Fetal Acidosis Detection

   R.F. Leonarduzzi, J. Spilka, J. Frecon, H. Wendt, N. Pustelnik, S. Jaffard, P. Abry and M. Doret

   Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
   Article Page
4. Intrapartum Fetal Heart Rate Classification from Trajectory in Sparse SVM Feature Space

   J. Spilka, J. Frecon, R.F. Leonarduzzi, N. Pustelnik, P. Abry and M. Doret

   Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
   Article Page

2014

1. Hybrid Bayesian Variational Scheme to Handle Parameter Selection in Total Variation Signal Denoising

   J. Frecon, N. Pustelnik, N. Dobigeon, H. Wendt and P. Abry

   European Signal Processing Conference (EUSIPCO), 2014
   Article Page