Unsupervised Segmentation of Three-Dimensional Brain Images. - Su Ruan; Mohamed-Jalal Fadili; Daniel Bloyet; Jing-Hao Xue (ICPR, 2000)

Image Segmentation via Multiple Active Contour Models and Fuzzy Clustering with Biomedical Applications. - Sophie Schüpp; Abderrahim Elmoataz; Mohamed-Jalal Fadili; Paulette Herlin; Daniel Bloyet (ICPR, 2000)

Phantom-based performance evaluation: Application to brain segmentation from magnetic resonance images. - Bruno Moretti; Mohamed-Jalal Fadili; Su Ruan; Daniel Bloyet; Bernard Mazoyer (Medical Image Anal., 2000)

Brain Tissue Classification of Magnetic Resonance Images Using Partial Volume Modeling. - Su Ruan; Cyril Jaggi; Jing-Hao Xue; Mohamed-Jalal Fadili; Daniel Bloyet (IEEE Trans. Medical Imaging, 2000)

Wavelet methods for characterising mono- and poly-fractal noise structures in shortish time series: an application to functional MRI. - Mohamed-Jalal Fadili; Edward T. Bullmore; M. Brett (ICIP (2), 2001)

Segmentation of magnetic resonance images using fuzzy Markov random fields. - Su Ruan; Bruno Moretti; Jalal Fadili; Daniel Bloyet (ICIP (3), 2001)

Fast Statistical Level Sets Image Segmentation for Biomedical Applications. - Sophie Schüpp; Abderrahim Elmoataz; Mohamed-Jalal Fadili; Daniel Bloyet (Scale-Space, 2001)

On the number of clusters and the fuzziness index for unsupervised FCA application to BOLD fMRI time series. - Mohamed-Jalal Fadili; Su Ruan; Daniel Bloyet; Bernard Mazoyer (Medical Image Anal., 2001)

Fuzzy Markovian Segmentation in Application of Magnetic Resonance Images. - Su Ruan; Bruno Moretti; Jalal Fadili; Daniel Bloyet (Comput. Vis. Image Underst., 2002)

Wavelet-Generalized Least Squares: A New BLU Estimator of Linear Regression Models with 1/f Errors. - Mohamed-Jalal Fadili; Edward T. Bullmore (NeuroImage, 2002)

Overcoming Confounds of Stimulus Blocking: An Event-Related fMRI Design of Semantic Processing. - Lea K. Pilgrim; Mohamed-Jalal Fadili; Paul C. Fletcher; Lorraine K. Tyler (NeuroImage, 2002)

3d medical image segmentation approach based on multi-label front propagation. - Hua Li 003; Abderrahim Elmoataz; Jalal Fadili; Su Ruan; Barbara Romaniuk (ICIP, 2004)

Bayesian Denoising in the Wavelet-Domain Using an Analytical Approximate a-Stable Prior. - Larbi Boubchir; Mohamed-Jalal Fadili; Daniel Bloyet (ICPR (4), 2004)

A Multi-Label Front Propagation Approach for Object Segmentation. - Hua Li 003; Abderrahim Elmoataz; Mohamed-Jalal Fadili; Su Ruan (ICPR (1), 2004)

Penalized Partially Linear Models using Orthonormal Wavelet Bases with an Application to fMRI Time Series. - Mohamed-Jalal Fadili; Edward T. Bullmore (ISBI, 2004)

Dual Front Evolution Model and Its Application in Medical Imaging. - Hua Li 003; Abderrahim Elmoataz; Mohamed-Jalal Fadili; Su Ruan (MICCAI (1), 2004)

A comparative evaluation of wavelet-based methods for hypothesis testing of brain activation maps. - Mohamed-Jalal Fadili; Edward T. Bullmore (NeuroImage, 2004)

Non-convex onion-peeling using a shape hull algorithm. - Mohamed-Jalal Fadili; Mahmoud Melkemi; Abderrahim Elmoataz (Pattern Recognit. Lett., 2004)

Bayesian denoising based on the MAP estimation in wavelet-domain using Bessel K form prior. - Larbi Boubchir; Jalal Fadili (ICIP (1), 2005)

EM algorithm for sparse representation-based image inpainting. - Mohamed-Jalal Fadili; Jean-Luc Starck (ICIP (2), 2005)

Multivariate statistical modeling of images with the curvelet transform. - Larbi Boubchir; Jalal Fadili (ISSPA, 2005)

Fractional Gaussian noise, functional MRI and Alzheimer's disease. - Voichita Maxim; Levent Sendur; Jalal Fadili; John Suckling; Rebecca L. Gould; Robert J. Howard; Ed Bullmore (NeuroImage, 2005)

Analytical form for a Bayesian wavelet estimator of images using the Bessel K form densities. - Mohamed-Jalal Fadili; Larbi Boubchir (IEEE Trans. Image Process., 2005)

Penalized partially linear models using sparse representations with an application to fMRI time series. - Mohamed-Jalal Fadili; Ed Bullmore (IEEE Trans. Signal Process., 2005)

Wire Structure Pattern Extraction and Tracking From X-Ray Images of Composite Mechanisms. - David Tschumperlé; Jalal Fadili (CVPR (2), 2006)

Statistical Region-Based Active Contours with Exponential Family Observations. - François Lecellier; Stéphanie Jehan-Besson; Jalal Fadili; Gilles Aubert; Marinette Revenu (ICASSP (2), 2006)

Multi-Scale Variance Stabilizing Transform for Multi-Dimensional Poisson Count Image Denoising. - Bo Zhang 017; Mohamed-Jalal Fadili; Jean-Luc Starck (ICASSP (2), 2006)

Region-Based Active Contour with Noise and Shape Priors. - François Lecellier; Stéphanie Jehan-Besson; Jalal Fadili; Gilles Aubert; Marinette Revenu; Eric Saloux (ICIP, 2006)

A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior. - Larbi Boubchir; Mohamed-Jalal Fadili (Pattern Recognit. Lett., 2006)

Morphological Diversity and Sparsity in Blind Source Separation. - Jérôme Bobin; Yassir Moudden; Jalal Fadili; Jean-Luc Starck (ICA, 2007)

Morphological Diversity and Sparse Image Denoising. - Mohamed-Jalal Fadili; Jean-Luc Starck; Larbi Boubchir (ICASSP (1), 2007)

Fast Time-Space Tracking of Smoothly Moving Fine Structures in Image Sequences. - David Tschumperlé; Yohan Bentolila; Jean Martinot; Jalal Fadili (ICIP (6), 2007)

Multiscale Variance-Stabilizing Transform for Mixed-Poisson-Gaussian Processes and its Applications in Bioimaging. - Bo Zhang 017; Jalal Fadili; Jean-Luc Starck; Jean-Christophe Olivo-Marin (ICIP (6), 2007)

Reply to comments of A. Achim, E. Kuruoglu, A. Bezerianos and P. Tsakalides on "A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior". - Larbi Boubchir; Jalal Fadili (Pattern Recognit. Lett., 2007)

Sparsity and Morphological Diversity in Blind Source Separation. - Jérôme Bobin; Jean-Luc Starck; Jalal Fadili; Yassir Moudden (IEEE Trans. Image Process., 2007)

Morphological Component Analysis: An Adaptive Thresholding Strategy. - Jérôme Bobin; Jean-Luc Starck; Jalal Fadili; Yassir Moudden; David L. Donoho (IEEE Trans. Image Process., 2007)

The Undecimated Wavelet Decomposition and its Reconstruction. - Jean-Luc Starck; Jalal Fadili; Fionn Murtagh (IEEE Trans. Image Process., 2007)

Image deconvolution under poisson noise using sparse representations and proximal thresholding iteration. - François-Xavier Dupé; Mohamed-Jalal Fadili; Jean-Luc Starck (ICASSP, 2008)

Region-based active contours and sparse representations for texture segmentation. - François Lecellier; Jalal Fadili; Stéphanie Jehan-Besson; Marinette Revenu; Gilles Aubert (ICPR, 2008)

Deconvolution of confocal microscopy images using proximal iteration and sparse representations. - François-Xavier Dupé; Mohamed-Jalal Fadili; Jean-Luc Starck (ISBI, 2008)

Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal. - Bo Zhang 017; Mohamed-Jalal Fadili; Jean-Luc Starck (IEEE Trans. Image Process., 2008)

Sparsity and morphological diversity for hyperspectral data analysis. - Jérôme Bobin; Yassir Moudden; Jean-Luc Starck; Mohamed-Jalal Fadili (ICIP, 2009)

TV-regularized generation of planar images from omnicams. - Yannick Boursier; Laurent Jacques; Didier Raboud; Pascal Frossard; Mohamed-Jalal Fadili; Pierre Vandergheynst (ICIP, 2009)

Image deconvolution by stein block thresholding. - Christophe Chesneau; Mohamed-Jalal Fadili; Jean-Luc Starck (ICIP, 2009)

Monotone operator splitting for optimization problems in sparse recovery. - Mohamed-Jalal Fadili; Jean-Luc Starck (ICIP, 2009)

DeQuantizing Compressed Sensing with non-Gaussian constraints. - Laurent Jacques; David K. Hammond; Mohamed-Jalal Fadili (ICIP, 2009)

An overview of inverse problem regularization using sparsity. - Jean-Luc Starck; Mohamed-Jalal Fadili (ICIP, 2009)

Blind Source Separation with Spatio-SpectralSparsity Constraints - Application to Hyperspectral Data Analysis. - Yassir Moudden; Jérôme Bobin; Jean-Luc Starck; Jalal Fadili (ICA, 2009)

Multiplicative Noise Cleaning via a Variational Method Involving Curvelet Coefficients. - Sylvain Durand; Jalal Fadili; Mila Nikolova (SSVM, 2009)

Optimization of Divergences within the Exponential Family for Image Segmentation. - François Lecellier; Stéphanie Jehan-Besson; Jalal Fadili; Gilles Aubert; Marinette Revenu (SSVM, 2009)

Inpainting and Zooming Using Sparse Representations. - Mohamed-Jalal Fadili; Jean-Luc Starck; Fionn Murtagh (Comput. J., 2009)

Morphological Diversity and Sparsity for Multichannel Data Restoration. - Jérôme Bobin; Yassir Moudden; Jalal Fadili; Jean-Luc Starck (J. Math. Imaging Vis., 2009)

A Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations. - François-Xavier Dupé; Mohamed-Jalal Fadili; Jean-Luc Starck (IEEE Trans. Image Process., 2009)

Curvelets and Ridgelets. - Jalal Fadili; Jean-Luc Starck (Encyclopedia of Complexity and Systems Science, 2009)

Numerical Issues When Using Wavelets. - Jean-Luc Starck; Jalal Fadili (Encyclopedia of Complexity and Systems Science, 2009)

Sparse Image and Signal Processing - Wavelets, Curvelets, Morphological Diversity. - Jean-Luc Starck; Fionn Murtagh; Mohamed-Jalal Fadili (Cambridge University Press, 2010)

Une exploration des problèmes inverses par les représentations parcimonieuses et l'optimisation non lisse. (Exploring inverse problems with non-smooth optimization and sparse representations). - Mohamed-Jalal Fadili (2010)

MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting. - Mohamed-Jalal Fadili; Jean-Luc Starck; Michael Elad; David L. Donoho (Comput. Sci. Eng., 2010)

Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients. - Sylvain Durand; Jalal Fadili; Mila Nikolova (J. Math. Imaging Vis., 2010)

Region-Based Active Contours with Exponential Family Observations. - François Lecellier; Jalal Fadili; Stéphanie Jehan-Besson; Gilles Aubert; Marinette Revenu; Eric Saloux (J. Math. Imaging Vis., 2010)

Image Decomposition and Separation Using Sparse Representations: An Overview. - Mohamed-Jalal Fadili; Jean-Luc Starck; Jérôme Bobin; Yassir Moudden (Proc. IEEE, 2010)

Learning the Morphological Diversity. - Gabriel Peyré; Jalal Fadili; Jean-Luc Starck (SIAM J. Imaging Sci., 2010)

Group sparsity with overlapping partition functions. - Gabriel Peyré; Jalal Fadili (EUSIPCO, 2011)

Adaptive structured block sparsity via dyadic partitioning. - Gabriel Peyré; Jalal Fadili; Christophe Chesneau (EUSIPCO, 2011)

Data augmentation for galaxy density map reconstruction. - François-Xavier Dupé; Mohamed-Jalal Fadili; Jean-Luc Starck (ICIP, 2011)

Inverse problems with poisson noise: Primal and primal-dual splitting. - François-Xavier Dupé; Mohamed-Jalal Fadili; Jean-Luc Starck (ICIP, 2011)

Weighted fidelity in non-uniformly quantized compressed sensing. - Laurent Jacques; David K. Hammond; Mohamed-Jalal Fadili (ICIP, 2011)

Linear inverse problems with various noise models and mixed regularizations. - François-Xavier Dupé; Jalal Fadili; Jean-Luc Starck (VALUETOOLS, 2011)

Sharp Support Recovery from Noisy Random Measurements by L1 minimization - Charles Dossal; Marie-Line Chabanol; Gabriel Peyré; Jalal Fadili (CoRR, 2011)

The degrees of freedom of penalized l1 minimization - Charles Dossal; Maher Kachour; Jalal Fadili; Gabriel Peyré; Christophe Chesneau (CoRR, 2011)

3-D Data Denoising and Inpainting with the Low-Redundancy Fast Curvelet Transform. - Arnaud Woiselle; Jean-Luc Starck; Jalal Fadili (J. Math. Imaging Vis., 2011)

Introduction to the issue on Adaptive Sparse Representation of Data and Applications in Signal and Image Processing. - Jean-Luc Starck; Jalal Fadili; Michael Elad; Robert D. Nowak; Panagiotis Tsakalides (IEEE J. Sel. Top. Signal Process., 2011)

Activelets: Wavelets for sparse representation of hemodynamic responses. - Ildar Khalidov; Jalal Fadili; François Lazeyras; Dimitri Van De Ville; Michael Unser (Signal Process., 2011)

Total Variation Projection With First Order Schemes. - Jalal Fadili; Gabriel Peyré (IEEE Trans. Image Process., 2011)

Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine. - Laurent Jacques; David K. Hammond; Mohamed-Jalal Fadili (IEEE Trans. Inf. Theory, 2011)

Unbiased risk estimation for sparse analysis regularization. - Charles-Alban Deledalle; Samuel Vaiter; Gabriel Peyré; Jalal Fadili; Charles Dossal (ICIP, 2012)

Wasserstein active contours. - Gabriel Peyré; Jalal Fadili; Julien Rabin (ICIP, 2012)

A quasi-Newton proximal splitting method. - Stephen Becker; Mohamed-Jalal Fadili (NIPS, 2012)

Risk estimation for matrix recovery with spectral regularization - Charles-Alban Deledalle; Samuel Vaiter; Gabriel Peyré; Jalal Fadili; Charles Dossal (CoRR, 2012)

The degrees of freedom of the Group Lasso for a General Design - Samuel Vaiter; Charles-Alban Deledalle; Gabriel Peyré; Jalal Fadili; Charles Dossal (CoRR, 2012)

Adaptive Parameter Selection for Block Wavelet-Thresholding Deconvolution. - Fabien Navarro; Jalal Fadili; Christophe Chesneau (ALCOSP, 2013)

Model Selection with Piecewise Regular Gauges. - Samuel Vaiter; Mohammad Golbabaee; Jalal Fadili; Gabriel Peyré (CoRR, 2013)

Astronomical Image Denoising Using Dictionary Learning - Simon Beckouche; Jean-Luc Starck; Jalal Fadili (CoRR, 2013)

Stable Recovery with Analysis Decomposable Priors - Mohamed-Jalal Fadili; Gabriel Peyré; Samuel Vaiter; Charles-Alban Deledalle; Joseph Salmon (CoRR, 2013)

Robust Polyhedral Regularization - Samuel Vaiter; Gabriel Peyré; Jalal Fadili (CoRR, 2013)

A Generalized Forward-Backward Splitting. - Hugo Raguet; Jalal Fadili; Gabriel Peyré (SIAM J. Imaging Sci., 2013)

Stabilizing Nonuniformly Quantized Compressed Sensing With Scalar Companders. - Laurent Jacques; David K. Hammond; Mohamed-Jalal Fadili (IEEE Trans. Inf. Theory, 2013)

Robust Sparse Analysis Regularization. - Samuel Vaiter; Gabriel Peyré; Charles Dossal; Jalal Fadili (IEEE Trans. Inf. Theory, 2013)

On the convergence rates of proximal splitting algorithms. - Jingwei Liang; Mohamed-Jalal Fadili; Gabriel Peyré (ICIP, 2014)

Local Linear Convergence of Forward-Backward under Partial Smoothness. - Jingwei Liang; Jalal Fadili; Gabriel Peyré (NIPS, 2014)

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). - Laurent Jacques; Christophe De Vleeschouwer; Yannick Boursier; Prasad Sudhakar; C. De Mol; Aleksandra Pizurica; Sandrine Anthoine; Pierre Vandergheynst; Pascal Frossard; Cagdas Bilen; Srdan Kitic; Nancy Bertin; et al. (CoRR, 2014)

The Degrees of Freedom of Partly Smooth Regularizers. - Samuel Vaiter; Charles-Alban Deledalle; Gabriel Peyré; Jalal Fadili; Charles Dossal (CoRR, 2014)

Partly Smooth Regularization of Inverse Problems. - Samuel Vaiter; Gabriel Peyré; Jalal Fadili (CoRR, 2014)

Low Complexity Regularization of Linear Inverse Problems. - Samuel Vaiter; Gabriel Peyré; Jalal Fadili (CoRR, 2014)

Guest Editorial - JMIV Special Issue Mathematics and Image Analysis. - Gabriel Peyré; Jalal Fadili; Jean-François Aujol; Laurent D. Cohen (J. Math. Imaging Vis., 2014)

Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection. - Charles-Alban Deledalle; Samuel Vaiter; Jalal Fadili; Gabriel Peyré (SIAM J. Imaging Sci., 2014)

Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness. - Jingwei Liang; Jalal Fadili; Gabriel Peyré; D. Russell Luke (SSVM, 2015)

On Adaptive Wavelet Estimation of a Class of Weighted Densities. - Fabien Navarro; Christophe Chesneau; Jalal Fadili (Commun. Stat. Simul. Comput., 2015)

Guest Editorial: Mathematics and Image Analysis. - Jalal Fadili; Gitta Kutyniok; Gabriel Peyré; Gerlind Plonka-Hoch; Gabriele Steidl (J. Math. Imaging Vis., 2015)

Adaptive estimation of an additive regression function from weakly dependent data. - Christophe Chesneau; Jalal Fadili; Bertrand Maillot (J. Multivar. Anal., 2015)

Sparse Support Recovery with Non-smooth Loss Functions. - Kévin Degraux; Gabriel Peyré; Jalal Fadili; Laurent Jacques (NIPS, 2016)

A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization. - Jingwei Liang; Jalal Fadili; Gabriel Peyré (NIPS, 2016)

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). - Vinayak Abrol; Olivier Absil; Pierre-Antoine Absil; Sandrine Anthoine; Philippe Antoine; Thomas Arildsen; Nancy Bertin; Folkert Bleichrodt; Jérôme Bobin; Anne Bol; Antoine Bonnefoy; Francesco Caltagirone; et al. (CoRR, 2016)

Convergence rates with inexact non-expansive operators. - Jingwei Liang; Jalal Fadili; Gabriel Peyré (Math. Program., 2016)

JMIV Special Issue Mathematics and Image Analysis. - Jalal Fadili; Gitta Kutyniok; Gabriel Peyré; Gerlind Plonka-Hoch; Gabriele Steidl (J. Math. Imaging Vis., 2017)

Local Convergence Properties of Douglas-Rachford and Alternating Direction Method of Multipliers. - Jingwei Liang; Jalal Fadili; Gabriel Peyré (J. Optim. Theory Appl., 2017)

Activity Identification and Local Linear Convergence of Forward-Backward-type Methods. - Jingwei Liang; Jalal Fadili; Gabriel Peyré (SIAM J. Optim., 2017)

The Nonlocal p-Laplacian Evolution Problem on Graphs: The Continuum Limit. - Yosra Hafiene; Jalal Fadili; Abderrahim Elmoataz (ICISP, 2018)

Sensitivity Analysis for Mirror-Stratifiable Convex Functions. - Jalal Fadili; Jérôme Malick; Gabriel Peyré (SIAM J. Optim., 2018)

Nonlocal p-Laplacian Evolution Problems on Graphs. - Yosra Hafiene; Jalal Fadili; Abderrahim Elmoataz (SIAM J. Numer. Anal., 2018)

Model Consistency of Partly Smooth Regularizers. - Samuel Vaiter; Gabriel Peyré; Jalal Fadili (IEEE Trans. Inf. Theory, 2018)

Model Consistency for Learning with Mirror-Stratifiable Regularizers. - Jalal Fadili; Guillaume Garrigos; Jérôme Malick; Gabriel Peyré (AISTATS, 2019)

Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA). - Jean-François Aujol; Jalal Fadili; Michael Hintermüller; Gabriel Peyré; Gerlind Plonka-Hoch; Gabriele Steidl (J. Math. Imaging Vis., 2019)

Convergence Rates of Forward-Douglas-Rachford Splitting Method. - Cesare Molinari; Jingwei Liang; Jalal Fadili (J. Optim. Theory Appl., 2019)

Non-smooth Non-convex Bregman Minimization: Unification and New Algorithms. - Peter Ochs; Jalal Fadili; Thomas Brox (J. Optim. Theory Appl., 2019)

PAC-Bayesian risk bounds for group-analysis sparse regression by exponential weighting. - Duy Tung Luu; Jalal Fadili; Christophe Chesneau (J. Multivar. Anal., 2019)

Continuum Limits of Nonlocal p-Laplacian Variational Problems on Graphs. - Yosra Hafiene; Jalal Fadili; Abderrahim Elmoataz (SIAM J. Imaging Sci., 2019)

On Quasi-Newton Forward-Backward Splitting: Proximal Calculus and Convergence. - Stephen Becker; Jalal Fadili; Peter Ochs (SIAM J. Optim., 2019)

Wasserstein Control of Mirror Langevin Monte Carlo. - Kelvin Shuangjian Zhang; Gabriel Peyré; Jalal Fadili; Marcelo Pereyra (COLT, 2020)

Discrete p-bilaplacian Operators on Graphs. - Imad El Bouchairi; Abderrahim El Moataz; Jalal Fadili (ICISP, 2020)

Learning CHARME models with (deep) neural networks. - José G. Gómez-García; Jalal Fadili; Christophe Chesneau (CoRR, 2020)

Continuum limit of p-Laplacian evolution problems on graphs: Lq graphons and sparse graphs. - Imad El Bouchairi; Jalal Fadili; Abderrahim Elmoataz (CoRR, 2020)

Guest Editorial: Special Issue in Memory of Mila Nikolova. - Raymond H. Chan; Albert Cohen 002; Jalal Fadili; Alfred O. Hero III; Gabriele Steidl (J. Math. Imaging Vis., 2020)

Generalized Conditional Gradient with Augmented Lagrangian for Composite Minimization. - Antonio Silveti-Falls; Cesare Molinari; Jalal Fadili (SIAM J. Optim., 2020)

Optimal Reduced Model Algorithms for Data-Based State Estimation. - Albert Cohen 002; Wolfgang Dahmen; Ronald A. DeVore; Jalal Fadili; Olga Mula; James A. Nichols (SIAM J. Numer. Anal., 2020)

Limits and consistency of non-local and graph approximations to the Eikonal equation. - Jalal Fadili; Nicolas Forcadel; Thi-Tuyen Nguyen (CoRR, 2021)

Statistical and morphological component separation of foregrounds in convolved HI skymaps. - Yanis Guimard; Ming Jiang; Zhenghao Zhu; Huanyuan Shan; Jalal Fadili; Jean-Luc Starck (SiPS, 2022)

Global convergence of model function based Bregman proximal minimization algorithms. - Mahesh Chandra Mukkamala; Jalal Fadili; Peter Ochs (J. Glob. Optim., 2022)

Fast Convergence of Dynamical ADMM via Time Scaling of Damped Inertial Dynamics. - Hédy Attouch; Zaki Chbani; Jalal Fadili; Hassan Riahi (J. Optim. Theory Appl., 2022)

First-order optimization algorithms via inertial systems with Hessian driven damping. - Hédy Attouch; Zaki Chbani; Jalal Fadili; Hassan Riahi (Math. Program., 2022)

From the Ravine Method to the Nesterov Method and Vice Versa: A Dynamical System Perspective. - Hédy Attouch; Jalal Fadili (SIAM J. Optim., 2022)

Exploring the Connection Between Neuron Coverage and Adversarial Robustness in DNN Classifiers. - William Piat; Jalal Fadili; Frédéric Jurie (ICIP, 2023)

Convergence Guarantees of Overparametrized Wide Deep Inverse Prior. - Nathan Buskulic; Yvain Quéau; Jalal Fadili (SSVM, 2023)

A Quasi-Newton Primal-Dual Algorithm with Line Search. - Shida Wang; Jalal Fadili; Peter Ochs (SSVM, 2023)

Simpinns: Simulation-Driven Physics-Informed Neural Networks for Enhanced Performance in Nonlinear Inverse Problems. - Sidney Besnard; Frédéric Jurie; Jalal Fadili (WHISPERS, 2023)

Geometric characterizations for strong minima with applications to nuclear norm minimization problems. - Jalal Fadili; Tran Thai An Nghia; Duy Nhat Phan (CoRR, 2023)

Discrete-to-Continuum Rates of Convergence for $p$-Laplacian Regularization. - Adrien Weihs; Jalal Fadili; Matthew Thorpe (CoRR, 2023)

Guest Editorial JMIV Special Issue SSVM'21. - Jalal Fadili; Abderrahim El Moataz; Loïc Simon; Julien Rabin; Yvain Quéau (J. Math. Imaging Vis., 2023)

Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classification. - Imad El Bouchairi; Abderrahim Elmoataz; Jalal Fadili (SIAM J. Imaging Sci., 2023)

Provable Phase Retrieval with Mirror Descent. - Jean-Jacques Godeme; Jalal Fadili; Xavier Buet; Myriam Zerrad; Michel Lequime; Claude Amra (SIAM J. Imaging Sci., 2023)

Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems Trained with Gradient Descent. - Nathan Buskulic; Yvain Quéau; Jalal Fadili (EUSIPCO, 2024)

Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation. - Michael Sucker; Jalal Fadili; Peter Ochs (CoRR, 2024)

Stable Phase Retrieval with Mirror Descent. - Jean-Jacques Godeme; Jalal Fadili; Claude Amra; Myriam Zerrad (CoRR, 2024)

Low Complexity Regularized Phase Retrieval. - Jean-Jacques Godeme; Jalal Fadili (CoRR, 2024)

Limits of non-local approximations to the Eikonal equation on manifolds. - Mohamed-Jalal Fadili; Nicolas Forcadel; Rita Zantout (CoRR, 2024)

Generalized Fast Krasnoselskii-Mann Method with Preconditioners. - Radu Ioan Bot; Enis Chenchene; Jalal Fadili (CoRR, 2024)

Continuous Newton-like Methods Featuring Inertia and Variable Mass. - Camille Castera; Hédy Attouch; Jalal Fadili; Peter Ochs (SIAM J. Optim., 2024)

Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems. - Nathan Buskulic; Jalal Fadili; Yvain Quéau (J. Math. Imaging Vis., 2024)

Quasi-Newton Methods for Monotone Inclusions: Efficient Resolvent Calculus and Primal-Dual Algorithms. - Shida Wang; Jalal Fadili; Peter Ochs (SIAM J. Imaging Sci., 2025)

Solution Uniqueness of Convex Optimization Problems via the Radial Cone. - Jalal Fadili; Tran Thai An Nghia; Duy Nhat Phan (J. Optim. Theory Appl., 2025)