Jalal Fadili

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 54

Top Venues

CoRR

J. Math. Imaging Vis.

SIAM J. Optim.

J. Optim. Theory Appl.

Publications

Jean-Jacques Godeme, Jalal Fadili, Claude Amra, Myriam Zerrad
Stable Phase Retrieval with Mirror Descent. CoRR (2024)
Camille Castera, Hédy Attouch, Jalal Fadili, Peter Ochs
Continuous Newton-like Methods Featuring Inertia and Variable Mass. SIAM J. Optim. 34 (1) (2024)
Nathan Buskulic, Jalal Fadili, Yvain Quéau
Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems trained with Gradient Descent. CoRR (2024)
Michael Sucker, Jalal Fadili, Peter Ochs
Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation. CoRR (2024)
Nathan Buskulic, Jalal Fadili, Yvain Quéau
Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems. J. Math. Imaging Vis. 66 (4) (2024)
Jean-Jacques Godeme, Jalal Fadili
Low Complexity Regularized Phase Retrieval. CoRR (2024)
Adrien Weihs, Jalal Fadili, Matthew Thorpe
Discrete-to-Continuum Rates of Convergence for $p$-Laplacian Regularization. CoRR (2023)
Shida Wang, Jalal Fadili, Peter Ochs
A Quasi-Newton Primal-Dual Algorithm with Line Search. SSVM (2023)
Sidney Besnard, Frédéric Jurie, Jalal Fadili
Simpinns: Simulation-Driven Physics-Informed Neural Networks for Enhanced Performance in Nonlinear Inverse Problems. WHISPERS (2023)
Nathan Buskulic, Yvain Quéau, Jalal Fadili
Convergence Guarantees of Overparametrized Wide Deep Inverse Prior. SSVM (2023)
Jean-Jacques Godeme, Jalal Fadili, Xavier Buet, Myriam Zerrad, Michel Lequime, Claude Amra
Provable Phase Retrieval with Mirror Descent. SIAM J. Imaging Sci. 16 (3) (2023)
Nathan Buskulic, Yvain Quéau, Jalal Fadili
Convergence Guarantees of Overparametrized Wide Deep Inverse Prior. CoRR (2023)
Jalal Fadili, Tran T. A. Nghia, Duy Nhat Phan
Geometric characterizations for strong minima with applications to nuclear norm minimization problems. CoRR (2023)
Nathan Buskulic, Jalal Fadili, Yvain Quéau
Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems. CoRR (2023)
Imad El Bouchairi, Abderrahim Elmoataz, Jalal Fadili
Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classification. SIAM J. Imaging Sci. 16 (1) (2023)
William Piat, Jalal Fadili, Frédéric Jurie
Exploring the Connection Between Neuron Coverage and Adversarial Robustness in DNN Classifiers. ICIP (2023)
Jalal Fadili, Abderrahim El Moataz, Loïc Simon, Julien Rabin, Yvain Quéau
Guest Editorial JMIV Special Issue SSVM'21. J. Math. Imaging Vis. 65 (1) (2023)
Hédy Attouch, Zaki Chbani, Jalal Fadili, Hassan Riahi
First-order optimization algorithms via inertial systems with Hessian driven damping. Math. Program. 193 (1) (2022)
Hédy Attouch, Zaki Chbani, Jalal Fadili, Hassan Riahi
Fast Convergence of Dynamical ADMM via Time Scaling of Damped Inertial Dynamics. J. Optim. Theory Appl. 193 (1) (2022)
Hédy Attouch, Jalal Fadili
From the Ravine Method to the Nesterov Method and Vice Versa: A Dynamical System Perspective. SIAM J. Optim. 32 (3) (2022)
Yanis Guimard, Ming Jiang, Zhenghao Zhu, Huanyuan Shan, Jalal Fadili, Jean-Luc Starck
Statistical and morphological component separation of foregrounds in convolved HI skymaps. SiPS (2022)
Jean-Jacques Godeme, Jalal Fadili, Xavier Buet, Myriam Zerrad, Michel Lequime, Claude Amra
Provable Phase Retrieval with Mirror Descent. CoRR (2022)
Mahesh Chandra Mukkamala, Jalal Fadili, Peter Ochs
Global convergence of model function based Bregman proximal minimization algorithms. J. Glob. Optim. 83 (4) (2022)
Hédy Attouch, Jalal Fadili
From the Ravine method to the Nesterov method and vice versa: a dynamical system perspective. CoRR (2022)
Jalal Fadili, Nicolas Forcadel, Thi Tuyen Nguyen
Limits and consistency of non-local and graph approximations to the Eikonal equation. CoRR (2021)
Imad El Bouchairi, Abderrahim El Moataz, Jalal Fadili
Discrete p-bilaplacian Operators on Graphs. ICISP (2020)
Kelvin Shuangjian Zhang, Gabriel Peyré, Jalal Fadili, Marcelo Pereyra
Wasserstein Control of Mirror Langevin Monte Carlo. COLT (2020)
Mahesh Chandra Mukkamala, Jalal Fadili, Peter Ochs
Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms. CoRR (2020)
Albert Cohen, Wolfgang Dahmen, Ronald A. DeVore, Jalal Fadili, Olga Mula, James A. Nichols
Optimal Reduced Model Algorithms for Data-Based State Estimation. SIAM J. Numer. Anal. 58 (6) (2020)
Imad El Bouchairi, Jalal Fadili, Abderrahim Elmoataz
graphons and sparse graphs. CoRR (2020)
José G. Gómez-García, Jalal Fadili, Christophe Chesneau
Learning CHARME models with (deep) neural networks. CoRR (2020)
Antonio Silveti-Falls, Cesare Molinari, Jalal Fadili
Generalized Conditional Gradient with Augmented Lagrangian for Composite Minimization. SIAM J. Optim. 30 (4) (2020)
Raymond H. Chan, Albert Cohen, Jalal Fadili, Alfred O. Hero III, Gabriele Steidl
Guest Editorial: Special Issue in Memory of Mila Nikolova. J. Math. Imaging Vis. 62 (6-7) (2020)
Kelvin Shuangjian Zhang, Gabriel Peyré, Jalal Fadili, Marcelo Pereyra
Wasserstein Control of Mirror Langevin Monte Carlo. CoRR (2020)
Yosra Hafiene, Jalal Fadili, Abderrahim Elmoataz
Continuum Limits of Nonlocal p-Laplacian Variational Problems on Graphs. SIAM J. Imaging Sci. 12 (4) (2019)
Jean-François Aujol, Jalal Fadili, Michael Hintermüller, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl
Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA). J. Math. Imaging Vis. 61 (5) (2019)
Duy Tung Luu, Jalal Fadili, Christophe Chesneau
PAC-Bayesian risk bounds for group-analysis sparse regression by exponential weighting. J. Multivar. Anal. 171 (2019)
Stephen Becker, Jalal Fadili, Peter Ochs
On Quasi-Newton Forward-Backward Splitting: Proximal Calculus and Convergence. SIAM J. Optim. 29 (4) (2019)
Jalal Fadili, Guillaume Garrigos, Jérôme Malick, Gabriel Peyré
Model Consistency for Learning with Mirror-Stratifiable Regularizers. AISTATS (2019)
Peter Ochs, Jalal Fadili, Thomas Brox
Non-smooth Non-convex Bregman Minimization: Unification and New Algorithms. J. Optim. Theory Appl. 181 (1) (2019)
Cesare Molinari, Jingwei Liang, Jalal Fadili
Convergence Rates of Forward-Douglas-Rachford Splitting Method. J. Optim. Theory Appl. 182 (2) (2019)
Jalal Fadili, Jérôme Malick, Gabriel Peyré
Sensitivity Analysis for Mirror-Stratifiable Convex Functions. SIAM J. Optim. 28 (4) (2018)
Samuel Vaiter, Gabriel Peyré, Jalal Fadili
Model Consistency of Partly Smooth Regularizers. IEEE Trans. Inf. Theory 64 (3) (2018)
Yosra Hafiene, Jalal Fadili, Abderrahim Elmoataz
Nonlocal p-Laplacian Evolution Problems on Graphs. SIAM J. Numer. Anal. 56 (2) (2018)
Yosra Hafiene, Jalal Fadili, Abderrahim Elmoataz
The Nonlocal p-Laplacian Evolution Problem on Graphs: The Continuum Limit. ICISP (2018)
Peter Ochs, Jalal Fadili, Thomas Brox
Non-smooth Non-convex Bregman Minimization: Unification and new Algorithms. CoRR (2017)
Jingwei Liang, Jalal Fadili, Gabriel Peyré
Local Convergence Properties of Douglas-Rachford and Alternating Direction Method of Multipliers. J. Optim. Theory Appl. 172 (3) (2017)
Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl
JMIV Special Issue Mathematics and Image Analysis. J. Math. Imaging Vis. 59 (3) (2017)
Jalal Fadili, Jérôme Malick, Gabriel Peyré
Sensitivity Analysis for Mirror-Stratifiable Convex Functions. CoRR (2017)
Jingwei Liang, Jalal Fadili, Gabriel Peyré
Activity Identification and Local Linear Convergence of Forward-Backward-type Methods. SIAM J. Optim. 27 (1) (2017)
Kévin Degraux, Gabriel Peyré, Jalal Fadili, Laurent Jacques
Sparse Support Recovery with Non-smooth Loss Functions. CoRR (2016)
Jingwei Liang, Jalal Fadili, Gabriel Peyré
Convergence rates with inexact non-expansive operators. Math. Program. 159 (1-2) (2016)
Jingwei Liang, Jalal Fadili, Gabriel Peyré
A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization. NIPS (2016)
Kévin Degraux, Gabriel Peyré, Jalal Fadili, Laurent Jacques
Sparse Support Recovery with Non-smooth Loss Functions. NIPS (2016)
Christophe Chesneau, Jalal Fadili, Bertrand Maillot
Adaptive estimation of an additive regression function from weakly dependent data. J. Multivar. Anal. 133 (2015)
Jingwei Liang, Jalal Fadili, Gabriel Peyré, D. Russell Luke
Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness. SSVM (2015)
Fabien Navarro, Christophe Chesneau, Jalal Fadili
On Adaptive Wavelet Estimation of a Class of Weighted Densities. Commun. Stat. Simul. Comput. 44 (8) (2015)
Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl
Guest Editorial: Mathematics and Image Analysis. J. Math. Imaging Vis. 52 (3) (2015)
Jingwei Liang, Jalal Fadili, Gabriel Peyré
Local Linear Convergence of Forward-Backward under Partial Smoothness. NIPS (2014)
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, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR (2014)
Charles-Alban Deledalle, Samuel Vaiter, Jalal Fadili, Gabriel Peyré
Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection. SIAM J. Imaging Sci. 7 (4) (2014)
Samuel Vaiter, Charles-Alban Deledalle, Gabriel Peyré, Jalal Fadili, Charles Dossal
The Degrees of Freedom of Partly Smooth Regularizers. CoRR (2014)
Gabriel Peyré, Jalal Fadili, Jean-François Aujol, Laurent D. Cohen
Guest Editorial - JMIV Special Issue Mathematics and Image Analysis. J. Math. Imaging Vis. 48 (2) (2014)
Samuel Vaiter, Gabriel Peyré, Jalal Fadili
Low Complexity Regularization of Linear Inverse Problems. CoRR (2014)
Samuel Vaiter, Gabriel Peyré, Jalal Fadili
Partly Smooth Regularization of Inverse Problems. CoRR (2014)
Samuel Vaiter, Mohammad Golbabaee, Jalal Fadili, Gabriel Peyré
Model Selection with Piecewise Regular Gauges. CoRR (2013)
Fabien Navarro, Jalal Fadili, Christophe Chesneau
Adaptive Parameter Selection for Block Wavelet-Thresholding Deconvolution. ALCOSP (2013)
Samuel Vaiter, Gabriel Peyré, Charles Dossal, Jalal Fadili
Robust Sparse Analysis Regularization. IEEE Trans. Inf. Theory 59 (4) (2013)
Samuel Vaiter, Gabriel Peyré, Jalal Fadili
Robust Polyhedral Regularization CoRR (2013)
Hugo Raguet, Jalal Fadili, Gabriel Peyré
A Generalized Forward-Backward Splitting. SIAM J. Imaging Sci. 6 (3) (2013)
Simon Beckouche, Jean-Luc Starck, Jalal Fadili
Astronomical Image Denoising Using Dictionary Learning CoRR (2013)
Samuel Vaiter, Charles-Alban Deledalle, Gabriel Peyré, Jalal Fadili, Charles Dossal
The degrees of freedom of the Group Lasso for a General Design CoRR (2012)
Charles-Alban Deledalle, Samuel Vaiter, Gabriel Peyré, Jalal Fadili, Charles Dossal
Unbiased risk estimation for sparse analysis regularization. ICIP (2012)
Charles-Alban Deledalle, Samuel Vaiter, Gabriel Peyré, Jalal Fadili, Charles Dossal
Risk estimation for matrix recovery with spectral regularization CoRR (2012)
Gabriel Peyré, Jalal Fadili, Julien Rabin
Wasserstein active contours. ICIP (2012)
François-Xavier Dupé, Jalal Fadili, Jean-Luc Starck
Linear inverse problems with various noise models and mixed regularizations. VALUETOOLS (2011)
Jean-Luc Starck, Jalal Fadili, Michael Elad, Robert D. Nowak, Panagiotis Tsakalides
Introduction to the issue on Adaptive Sparse Representation of Data and Applications in Signal and Image Processing. IEEE J. Sel. Top. Signal Process. 5 (5) (2011)
Gabriel Peyré, Jalal Fadili, Christophe Chesneau
Adaptive structured block sparsity via dyadic partitioning. EUSIPCO (2011)
Gabriel Peyré, Jalal Fadili
Group sparsity with overlapping partition functions. EUSIPCO (2011)
Samuel Vaiter, Gabriel Peyré, Charles Dossal, Jalal Fadili
Robust Sparse Analysis Regularization CoRR (2011)
Charles Dossal, Maher Kachour, Jalal Fadili, Gabriel Peyré, Christophe Chesneau
The degrees of freedom of penalized l1 minimization CoRR (2011)
Jalal Fadili, Gabriel Peyré
Total Variation Projection With First Order Schemes. IEEE Trans. Image Process. 20 (3) (2011)
Charles Dossal, Marie-Line Chabanol, Gabriel Peyré, Jalal Fadili
Sharp Support Recovery from Noisy Random Measurements by L1 minimization CoRR (2011)
Ildar Khalidov, Jalal Fadili, François Lazeyras, Dimitri Van De Ville, Michael Unser
Activelets: Wavelets for sparse representation of hemodynamic responses. Signal Process. 91 (12) (2011)
Arnaud Woiselle, Jean-Luc Starck, Jalal Fadili
3-D Data Denoising and Inpainting with the Low-Redundancy Fast Curvelet Transform. J. Math. Imaging Vis. 39 (2) (2011)
Sylvain Durand, Jalal Fadili, Mila Nikolova
Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients. J. Math. Imaging Vis. 36 (3) (2010)
Gabriel Peyré, Jalal Fadili, Jean-Luc Starck
Learning the Morphological Diversity. SIAM J. Imaging Sci. 3 (3) (2010)
François Lecellier, Jalal Fadili, Stéphanie Jehan-Besson, Gilles Aubert, Marinette Revenu, Eric Saloux
Region-Based Active Contours with Exponential Family Observations. J. Math. Imaging Vis. 36 (1) (2010)
Laurent Jacques, David K. Hammond, Jalal Fadili
Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine CoRR (2009)
Yassir Moudden, Jérôme Bobin, Jean-Luc Starck, Jalal Fadili
Blind Source Separation with Spatio-SpectralSparsity Constraints - Application to Hyperspectral Data Analysis. ICA (2009)
François Lecellier, Stéphanie Jehan-Besson, Jalal Fadili, Gilles Aubert, Marinette Revenu
Optimization of Divergences within the Exponential Family for Image Segmentation. SSVM (2009)
Sylvain Durand, Jalal Fadili, Mila Nikolova
Multiplicative Noise Cleaning via a Variational Method Involving Curvelet Coefficients. SSVM (2009)
Jérôme Bobin, Yassir Moudden, Jalal Fadili, Jean-Luc Starck
Morphological Diversity and Sparsity for Multichannel Data Restoration. J. Math. Imaging Vis. 33 (2) (2009)
François Lecellier, Stéphanie Jehan-Besson, Jalal Fadili, Gilles Aubert, Marinette Revenu
Statistical region-based active contours with exponential family observations CoRR (2008)
François Lecellier, Stéphanie Jehan-Besson, Jalal Fadili, Gilles Aubert, Marinette Revenu, Eric Saloux
Region-based active contour with noise and shape priors CoRR (2008)
François Lecellier, Jalal Fadili, Stéphanie Jehan-Besson, Marinette Revenu, Gilles Aubert
Region-based active contours and sparse representations for texture segmentation. ICPR (2008)
David Tschumperlé, Yohan Bentolila, Jean Martinot, Jalal Fadili
Fast Time-Space Tracking of Smoothly Moving Fine Structures in Image Sequences. ICIP (6) (2007)
Bo Zhang, Jalal Fadili, Jean-Luc Starck, Jean-Christophe Olivo-Marin
Multiscale Variance-Stabilizing Transform for Mixed-Poisson-Gaussian Processes and its Applications in Bioimaging. ICIP (6) (2007)
Jean-Luc Starck, Jalal Fadili, Fionn Murtagh
The Undecimated Wavelet Decomposition and its Reconstruction. IEEE Trans. Image Process. 16 (2) (2007)
Jérôme Bobin, Jean-Luc Starck, Jalal Fadili, Yassir Moudden
Sparsity and Morphological Diversity in Blind Source Separation. IEEE Trans. Image Process. 16 (11) (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jalal Fadili