Generalized multivariate exponential power prior for wavelet-based multichannel image restoration. - Yosra Marnissi; Amel Benazza-Benyahia; Emilie Chouzenoux; Jean-Christophe Pesquet (ICIP, 2013)

Majorize-Minimize adapted metropolis-hastings algorithm. Application to multichannel image recovery. - Yosra Marnissi; Amel Benazza-Benyahia; Emilie Chouzenoux; Jean-Christophe Pesquet (EUSIPCO, 2014)

Matrix Completion with Convex Constraints for Data Gathering in Wireless Sensor Networks. - Mohamed Ali Moussa; Yosra Marnissi; Yacine Ghamri-Doudane (GLOBECOM, 2016)

Fast variational Bayesian signal recovery in the presence of Poisson-Gaussian noise. - Yosra Marnissi; Yuling Zheng; Jean-Christophe Pesquet (ICASSP, 2016)

A primal-dual algorithm for data gathering based on matrix completion for Wireless Sensor Networks. - Mohamed Ali Moussa; Yosra Marnissi; Yacine Ghamri-Doudane (ICC, 2016)

An auxiliary variable method for Langevin based MCMC algorithms. - Yosra Marnissi; Emilie Chouzenoux; Jean-Christophe Pesquet; Amel Benazza-Benyahia (SSP, 2016)

A Variational Bayesian Approach for Restoring Data Corrupted with Non-Gaussian Noise. - Yosra Marnissi; Yuling Zheng; Emilie Chouzenoux; Jean-Christophe Pesquet (CoRR, 2016)

A Variational Bayesian Approach for Image Restoration - Application to Image Deblurring With Poisson-Gaussian Noise. - Yosra Marnissi; Yuling Zheng; Emilie Chouzenoux; Jean-Christophe Pesquet (IEEE Trans. Computational Imaging, 2017)

Bayesian methods for inverse problems in signal and image processing. (Méthodes bayésiennes pour la résolution des problèmes inverses de grande dimension en traitement du signal et des images). - Yosra Marnissi (2017)

An Auxiliary Variable Method for Markov Chain Monte Carlo Algorithms in High Dimension. - Yosra Marnissi; Emilie Chouzenoux; Amel Benazza-Benyahia; Jean-Christophe Pesquet (Entropy, 2018)

A Data Augmentation Approach for Sampling Gaussian Models in High Dimension. - Yosra Marnissi; Dany Abboud; Emilie Chouzenoux; Jean-Christophe Pesquet; Mohamed El Badaoui; Amel Benazza-Benyahia (EUSIPCO, 2019)

Majorize-Minimize Adapted Metropolis-Hastings Algorithm. - Yosra Marnissi; Emilie Chouzenoux; Amel Benazza-Benyahia; Jean-Christophe Pesquet (IEEE Trans. Signal Process., 2020)

A differentiable short-time Fourier transform with respect to the window length. - Maxime Leiber; Axel Barrau; Yosra Marnissi; Dany Abboud (EUSIPCO, 2022)

Unsupervised Gear Monitoring using Deep Convolutional Auto-Encoders and K-Means : Application to Gotix Dataset. - Hind Kanj; Amani Raad; Dany Abboud; Yosra Marnissi (ICCAD, 2022)

Robust Spectral Peaks Detection in Vibration and Acoustic Signals. - Yasmine Hawwari; Jérôme Antoni; Hugo André; Yosra Marnissi; Dany Abboud; Mohamed El Badaoui (IEEE Trans. Instrum. Meas., 2022)

Differentiable Adaptive Short-Time Fourier Transform with Respect to the Window Length. - Maxime Leiber; Yosra Marnissi; Axel Barrau; Mohamed El Badaoui (ICASSP, 2023)

Differentiable short-time Fourier transform with respect to the hop length. - Maxime Leiber; Yosra Marnissi; Axel Barrau; Mohamed El Badaoui (SSP, 2023)

Blind Identification of Mechanical Systems with Modulated Periodic Input Signals. - Nacer Yousfi; Karim Abed-Meraim; Mohamed El Badaoui; Yosra Marnissi (EUSIPCO, 2024)

Neural Network-Based Symbolic Regression for Empirical Modeling of the Behavior of a Planetary Gearbox. - Nacer Yousfi; Karim Abed-Meraim; Yosra Marnissi; Maxime Leiber; Mohamed El Badaoui (ICASSP, 2024)

A Unified View of FANOVA: A Comprehensive Bayesian Framework for Component Selection and Estimation. - Yosra Marnissi; Maxime Leiber (ICML, 2024)

Learnable Adaptive Time-Frequency Representation via Differentiable Short-Time Fourier Transform. - Maxime Leiber; Yosra Marnissi; Axel Barrau; Sylvain Meignen; Laurent Massoulié (CoRR, 2025)