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Upcoming

  1. 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
    Under review, 2024
  2. Linear Modeling of the Adversarial Noise Space
    J. Patracone, L. Anquetil, Y. Liu, G. Gasso and S. Canu
    Under review, 2024
  3. Bregman Proximal Viewpoint on Neural Operators
    A.-R. Mezidi, J. Patracone, S. Salzo, A. Habrard, M. Pontil, R. Emonet and M. Sebban
    Under review, 2024
  4. 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
    Under review, 2024
  5. Relax and Penalize - a New Bilevel Approach to Mixed-Binary Hyperparameter Optimization
    M. De Santis, J. Frecon, F. Rinaldi, S. Salzo and M. Schmidt
    Under review, 2023

International Journals

  1. 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

  2. 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

  3. On-the-fly Approximation of Multivariate Total Variation Minimization
    J. Frecon, N. Pustelnik, P. Abry, and L. Condat
    IEEE Transactions on Signal Processing, 2016

  4. 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

International Conferences

  1. Bregman Neural Networks
    J. Frecon, G. Gasso, M. Pontil and S. Salzo
    International Conference on Machine Learning (ICML), 2022

  2. Unveiling Groups of Related Tasks in Multi-Tasks Learning
    J. Frecon, S. Salzo, and M. Pontil
    International Conference on Pattern Recognition (ICPR), 2020

  3. Bilevel learning of the group Lasso structure
    J. Frecon, S. Salzo, and M. Pontil
    Conference on Neural Information Processing Systems (NeurIPS), 2018

  4. 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

  5. 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

  6. 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

  7. 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

  8. Multivariate Optimization for Multifractal-based Texture Segmentation
    J. Frecon, N. Pustelnik, H. Wendt and P. Abry
    International Conference on Image Processing (ICIP), 2015

  9. 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

Workshops and National Conferences

  1. 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

  2. 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

  3. Smooth optimization of orthogonal wavelet basis
    J. Frecon, R. Grazzi, S. Salzo and M. Pontil
    Conférence sur l'Apprentissage Automatique (CAp), 2021

  4. Adversarial Dictionary Learning
    J. Frecon, L. Anquetil, G. Gasso and S. Canu
    Conférence sur l'Apprentissage Automatique (CAp), 2021

  5. 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

  6. 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

  7. 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

  8. 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

Thesis

  1. Optimization methods for the analysis of scale invariant processes
    J. Frecon
    PhD Thesis, 2016