Hybrid bayesian variational scheme to handle parameter selection in total variation signal denoising. - Jordan Frécon; Nelly Pustelnik; Nicolas Dobigeon; Herwig Wendt; Patrice Abry (EUSIPCO, 2014)

P-leader multifractal analysis and sparse SVM for intrapartum fetal acidosis detection. - Roberto F. Leonarduzzi; Jirí Spilka; Jordan Frécon; Herwig Wendt; Nelly Pustelnik; Stéphane Jaffard; Patrice Abry; Muriel Doret (EMBC, 2015)

Intrapartum fetal heart rate classification from trajectory in Sparse SVM feature space. - Jirí Spilka; Jordan Frécon; Roberto F. Leonarduzzi; Nelly Pustelnik; Patrice Abry; Muriel Doret (EMBC, 2015)

Multivariate optimization for multifractal-based texture segmentation. - Jordan Frécon; Nelly Pustelnik; Herwig Wendt; Patrice Abry (ICIP, 2015)

Non-linear regression for bivariate self-similarity identification - application to anomaly detection in Internet traffic based on a joint scaling analysis of packet and byte counts. - Jordan Frécon; Romain Fontugne; Gustavo Didier; Nelly Pustelnik; Kensuke Fukuda; Patrice Abry (ICASSP, 2016)

Multifractal-based texture segmentation using variational procedure. - Jordan Frécon; Nelly Pustelnik; Herwig Wendt; Laurent Condat; Patrice Abry (IVMSP, 2016)

Bayesian selection for the regularization parameter in TVl0 denoising problems. - Jordan Frécon; Nelly Pustelnik; Nicolas Dobigeon; Herwig Wendt; Patrice Abry (CoRR, 2016)

Non-Linear Wavelet Regression and Branch & Bound Optimization for the Full Identification of Bivariate Operator Fractional Brownian Motion. - Jordan Frécon; Gustavo Didier; Nelly Pustelnik; Patrice Abry (IEEE Trans. Signal Process., 2016)

On-The-Fly Approximation of Multivariate Total Variation Minimization. - Jordan Frécon; Nelly Pustelnik; Patrice Abry; Laurent Condat (IEEE Trans. Signal Process., 2016)

Méthodes d'optimisation pour l'analyse de processus invariants d'échelle. (Optimization methods for the analysis of scale invariant processes). - Jordan Frécon (2016)

Bayesian-driven criterion to automatically select the regularization parameter in the ℓ1-Potts model. - Jordan Frécon; Nelly Pustelnik; Nicolas Dobigeon; Herwig Wendt; Patrice Abry (ICASSP, 2017)

Sparse Support Vector Machine for Intrapartum Fetal Heart Rate Classification. - Jirí Spilka; Jordan Frécon; Roberto F. Leonarduzzi; Nelly Pustelnik; Patrice Abry; Muriel Doret (IEEE J. Biomed. Health Informatics, 2017)

Bayesian Selection for the ℓ2-Potts Model Regularization Parameter: 1-D Piecewise Constant Signal Denoising. - Jordan Frécon; Nelly Pustelnik; Nicolas Dobigeon; Herwig Wendt; Patrice Abry (IEEE Trans. Signal Process., 2017)

Bilevel learning of the Group Lasso structure. - Jordan Frécon; Saverio Salzo; Massimiliano Pontil (NeurIPS, 2018)

Unveiling Groups of Related Tasks in Multi - Task Learning. - Jordan Frécon; Saverio Salzo; Massimiliano Pontil (ICPR, 2020)

Bregman Neural Networks. - Jordan Frécon; Gilles Gasso; Massimiliano Pontil; Saverio Salzo (ICML, 2022)

Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization. - Marianna De Santis; Jordan Frécon; Francesco Rinaldi; Saverio Salzo; Martin Schmidt 003 (CoRR, 2023)