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Jalal Fadili
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2020 – today
- 2024
[j63]Nathan Buskulic, Jalal Fadili, Yvain Quéau:
Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems. J. Math. Imaging Vis. 66(4): 584-605 (2024)- [j62]Camille Castera
, Hédy Attouch, Jalal Fadili, Peter Ochs:
Continuous Newton-like Methods Featuring Inertia and Variable Mass. SIAM J. Optim. 34(1): 251-277 (2024) - [c59]Nathan Buskulic, Yvain Quéau, Jalal Fadili:
Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems Trained with Gradient Descent. EUSIPCO 2024: 1806-1810 - [i38]Nathan Buskulic, Jalal Fadili, Yvain Quéau:
Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems trained with Gradient Descent. CoRR abs/2403.05395 (2024) - [i37]Michael Sucker, Jalal Fadili, Peter Ochs:
Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation. CoRR abs/2404.03290 (2024) - [i36]Jean-Jacques Godeme, Jalal Fadili, Claude Amra, Myriam Zerrad:
Stable Phase Retrieval with Mirror Descent. CoRR abs/2405.10754 (2024) - [i35]Jean-Jacques Godeme, Jalal Fadili:
Low Complexity Regularized Phase Retrieval. CoRR abs/2407.16413 (2024) - [i34]Mohamed-Jalal Fadili, Nicolas Forcadel, Rita Zantout:
Limits of non-local approximations to the Eikonal equation on manifolds. CoRR abs/2409.13269 (2024) - 2023
- [j61]Jalal Fadili, Abderrahim El Moataz, Loïc Simon, Julien Rabin, Yvain Quéau:
Guest Editorial JMIV Special Issue SSVM'21. J. Math. Imaging Vis. 65(1): 1-3 (2023) - [j60]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): 368-392 (2023) - [j59]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): 1106-1141 (2023) - [c58]William Piat, Jalal Fadili, Frédéric Jurie:
Exploring the Connection Between Neuron Coverage and Adversarial Robustness in DNN Classifiers. ICIP 2023: 745-749 - [c57]Nathan Buskulic, Yvain Quéau, Jalal Fadili:
Convergence Guarantees of Overparametrized Wide Deep Inverse Prior. SSVM 2023: 406-417 - [c56]Shida Wang, Jalal Fadili, Peter Ochs:
A Quasi-Newton Primal-Dual Algorithm with Line Search. SSVM 2023: 444-456 - [c55]Sidney Besnard, Frédéric Jurie, Jalal Fadili:
Simpinns: Simulation-Driven Physics-Informed Neural Networks for Enhanced Performance in Nonlinear Inverse Problems. WHISPERS 2023: 1-5 - [i33]Nathan Buskulic, Yvain Quéau, Jalal Fadili:
Convergence Guarantees of Overparametrized Wide Deep Inverse Prior. CoRR abs/2303.11265 (2023) - [i32]Jalal Fadili, Tran T. A. Nghia, Duy Nhat Phan:
Geometric characterizations for strong minima with applications to nuclear norm minimization problems. CoRR abs/2308.09224 (2023) - [i31]Nathan Buskulic, Jalal Fadili, Yvain Quéau:
Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems. CoRR abs/2309.12128 (2023) - [i30]Sidney Besnard, Frédéric Jurie, Mohamed-Jalal Fadili:
SimPINNs: Simulation-Driven Physics-Informed Neural Networks for Enhanced Performance in Nonlinear Inverse Problems. CoRR abs/2309.16729 (2023) - [i29]Adrien Weihs, Jalal Fadili, Matthew Thorpe:
Discrete-to-Continuum Rates of Convergence for $p$-Laplacian Regularization. CoRR abs/2310.12691 (2023) - 2022
- [j58]Mahesh Chandra Mukkamala, Jalal Fadili, Peter Ochs:
Global convergence of model function based Bregman proximal minimization algorithms. J. Glob. Optim. 83(4): 753-781 (2022) - [j57]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): 704-736 (2022) - [j56]Hédy Attouch, Zaki Chbani, Jalal Fadili, Hassan Riahi:
First-order optimization algorithms via inertial systems with Hessian driven damping. Math. Program. 193(1): 113-155 (2022) - [j55]Hédy Attouch, Jalal Fadili:
From the Ravine Method to the Nesterov Method and Vice Versa: A Dynamical System Perspective. SIAM J. Optim. 32(3): 2074-2101 (2022) - [c54]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: 1-6 - [i28]Hédy Attouch, Jalal Fadili:
From the Ravine method to the Nesterov method and vice versa: a dynamical system perspective. CoRR abs/2201.11643 (2022) - [i27]Jean-Jacques Godeme, Jalal Fadili, Xavier Buet, Myriam Zerrad, Michel Lequime, Claude Amra:
Provable Phase Retrieval with Mirror Descent. CoRR abs/2210.09248 (2022) - 2021
- [e1]Abderrahim Elmoataz, Jalal Fadili, Yvain Quéau, Julien Rabin, Loïc Simon:
Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Virtual Event, May 16-20, 2021, Proceedings. Lecture Notes in Computer Science 12679, Springer 2021, ISBN 978-3-030-75548-5 [contents] - [i26]Jalal Fadili, Nicolas Forcadel, Thi-Tuyen Nguyen:
Limits and consistency of non-local and graph approximations to the Eikonal equation. CoRR abs/2105.01977 (2021) - 2020
- [j54]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): 771-772 (2020) - [j53]Antonio Silveti-Falls, Cesare Molinari, Jalal Fadili:
Generalized Conditional Gradient with Augmented Lagrangian for Composite Minimization. SIAM J. Optim. 30(4): 2687-2725 (2020) - [j52]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): 3355-3381 (2020) - [c53]Kelvin Shuangjian Zhang, Gabriel Peyré, Jalal Fadili, Marcelo Pereyra:
Wasserstein Control of Mirror Langevin Monte Carlo. COLT 2020: 3814-3841 - [c52]Imad El Bouchairi, Abderrahim El Moataz, Jalal Fadili:
Discrete p-bilaplacian Operators on Graphs. ICISP 2020: 339-347 - [i25]José G. Gómez-García, Jalal Fadili, Christophe Chesneau:
Learning CHARME models with (deep) neural networks. CoRR abs/2002.03237 (2020) - [i24]Kelvin Shuangjian Zhang, Gabriel Peyré, Jalal Fadili, Marcelo Pereyra:
Wasserstein Control of Mirror Langevin Monte Carlo. CoRR abs/2002.04363 (2020) - [i23]Imad El Bouchairi, Jalal Fadili, Abderrahim Elmoataz:
Continuum limit of p-Laplacian evolution problems on graphs: Lq graphons and sparse graphs. CoRR abs/2010.08697 (2020) - [i22]Mahesh Chandra Mukkamala, Jalal Fadili, Peter Ochs:
Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms. CoRR abs/2012.13161 (2020)
2010 – 2019
- 2019
- [j51]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): 643-644 (2019) - [j50]Peter Ochs, Jalal Fadili, Thomas Brox:
Non-smooth Non-convex Bregman Minimization: Unification and New Algorithms. J. Optim. Theory Appl. 181(1): 244-278 (2019) - [j49]Cesare Molinari, Jingwei Liang, Jalal Fadili:
Convergence Rates of Forward-Douglas-Rachford Splitting Method. J. Optim. Theory Appl. 182(2): 606-639 (2019) - [j48]Duy Tung Luu, Jalal Fadili, Christophe Chesneau:
PAC-Bayesian risk bounds for group-analysis sparse regression by exponential weighting. J. Multivar. Anal. 171: 209-233 (2019) - [j47]Yosra Hafiene, Jalal Fadili, Abderrahim Elmoataz:
Continuum Limits of Nonlocal p-Laplacian Variational Problems on Graphs. SIAM J. Imaging Sci. 12(4): 1772-1807 (2019) - [j46]Stephen Becker, Jalal Fadili, Peter Ochs:
On Quasi-Newton Forward-Backward Splitting: Proximal Calculus and Convergence. SIAM J. Optim. 29(4): 2445-2481 (2019) - [c51]Jalal Fadili, Guillaume Garrigos, Jérôme Malick, Gabriel Peyré:
Model Consistency for Learning with Mirror-Stratifiable Regularizers. AISTATS 2019: 1236-1244 - 2018
- [j45]Jalal Fadili, Jérôme Malick, Gabriel Peyré:
Sensitivity Analysis for Mirror-Stratifiable Convex Functions. SIAM J. Optim. 28(4): 2975-3000 (2018) - [j44]Yosra Hafiene, Jalal Fadili, Abderrahim Elmoataz:
Nonlocal p-Laplacian Evolution Problems on Graphs. SIAM J. Numer. Anal. 56(2): 1064-1090 (2018) - [j43]Samuel Vaiter, Gabriel Peyré, Jalal Fadili:
Model Consistency of Partly Smooth Regularizers. IEEE Trans. Inf. Theory 64(3): 1725-1737 (2018) - [c50]Yosra Hafiene, Jalal Fadili, Abderrahim Elmoataz:
The Nonlocal p-Laplacian Evolution Problem on Graphs: The Continuum Limit. ICISP 2018: 370-377 - 2017
- [j42]Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl:
JMIV Special Issue Mathematics and Image Analysis. J. Math. Imaging Vis. 59(3): 371-372 (2017) - [j41]Jingwei Liang, Jalal Fadili, Gabriel Peyré:
Local Convergence Properties of Douglas-Rachford and Alternating Direction Method of Multipliers. J. Optim. Theory Appl. 172(3): 874-913 (2017) - [j40]Jingwei Liang, Jalal Fadili, Gabriel Peyré:
Activity Identification and Local Linear Convergence of Forward-Backward-type Methods. SIAM J. Optim. 27(1): 408-437 (2017) - [i21]Peter Ochs, Jalal Fadili, Thomas Brox:
Non-smooth Non-convex Bregman Minimization: Unification and new Algorithms. CoRR abs/1707.02278 (2017) - [i20]Jalal Fadili, Jérôme Malick, Gabriel Peyré:
Sensitivity Analysis for Mirror-Stratifiable Convex Functions. CoRR abs/1707.03194 (2017) - 2016
- [j39]Jingwei Liang, Jalal Fadili, Gabriel Peyré:
Convergence rates with inexact non-expansive operators. Math. Program. 159(1-2): 403-434 (2016) - [c49]Jingwei Liang, Jalal Fadili, Gabriel Peyré:
A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization. NIPS 2016: 4035-4043 - [c48]Kévin Degraux, Gabriel Peyré, Jalal Fadili, Laurent Jacques:
Sparse Support Recovery with Non-smooth Loss Functions. NIPS 2016: 4269-4277 - [i19]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, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang:
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR abs/1609.04167 (2016) - [i18]Kévin Degraux, Gabriel Peyré, Jalal Fadili, Laurent Jacques:
Sparse Support Recovery with Non-smooth Loss Functions. CoRR abs/1611.01030 (2016) - 2015
- [j38]Fabien Navarro, Christophe Chesneau, Jalal Fadili:
On Adaptive Wavelet Estimation of a Class of Weighted Densities. Commun. Stat. Simul. Comput. 44(8): 2137-2150 (2015) - [j37]Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl:
Guest Editorial: Mathematics and Image Analysis. J. Math. Imaging Vis. 52(3): 315-316 (2015) - [j36]Christophe Chesneau, Jalal Fadili, Bertrand Maillot:
Adaptive estimation of an additive regression function from weakly dependent data. J. Multivar. Anal. 133: 77-94 (2015) - [c47]Jingwei Liang, Jalal Fadili, Gabriel Peyré, D. Russell Luke:
Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness. SSVM 2015: 642-653 - 2014
- [j35]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): 203-204 (2014) - [j34]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): 2448-2487 (2014) - [c46]Jingwei Liang, Mohamed-Jalal Fadili, Gabriel Peyré:
On the convergence rates of proximal splitting algorithms. ICIP 2014: 4146-4150 - [c45]Jingwei Liang, Jalal Fadili, Gabriel Peyré:
Local Linear Convergence of Forward-Backward under Partial Smoothness. NIPS 2014: 1970-1978 - [i17]Samuel Vaiter, Charles-Alban Deledalle, Gabriel Peyré, Jalal Fadili, Charles Dossal:
The Degrees of Freedom of Partly Smooth Regularizers. CoRR abs/1404.5557 (2014) - [i16]Samuel Vaiter, Gabriel Peyré, Jalal Fadili:
Partly Smooth Regularization of Inverse Problems. CoRR abs/1405.1004 (2014) - [i15]Samuel Vaiter, Gabriel Peyré, Jalal Fadili:
Low Complexity Regularization of Linear Inverse Problems. CoRR abs/1407.1598 (2014) - [i14]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 abs/1410.0719 (2014) - 2013
- [j33]Hugo Raguet, Jalal Fadili, Gabriel Peyré:
A Generalized Forward-Backward Splitting. SIAM J. Imaging Sci. 6(3): 1199-1226 (2013) - [j32]Samuel Vaiter, Gabriel Peyré, Charles Dossal, Jalal Fadili:
Robust Sparse Analysis Regularization. IEEE Trans. Inf. Theory 59(4): 2001-2016 (2013) - [j31]Laurent Jacques, David K. Hammond, Mohamed-Jalal Fadili:
Stabilizing Nonuniformly Quantized Compressed Sensing With Scalar Companders. IEEE Trans. Inf. Theory 59(12): 7969-7984 (2013) - [c44]Fabien Navarro, Jalal Fadili, Christophe Chesneau:
Adaptive Parameter Selection for Block Wavelet-Thresholding Deconvolution. ALCOSP 2013: 495-499 - [i13]Simon Beckouche, Jean-Luc Starck, Jalal Fadili:
Astronomical Image Denoising Using Dictionary Learning. CoRR abs/1304.3573 (2013) - [i12]Mohamed-Jalal Fadili, Gabriel Peyré, Samuel Vaiter, Charles-Alban Deledalle, Joseph Salmon:
Stable Recovery with Analysis Decomposable Priors. CoRR abs/1304.4407 (2013) - [i11]Samuel Vaiter, Gabriel Peyré, Jalal Fadili:
Robust Polyhedral Regularization. CoRR abs/1304.6033 (2013) - [i10]Samuel Vaiter, Mohammad Golbabaee, Jalal Fadili, Gabriel Peyré:
Model Selection with Piecewise Regular Gauges. CoRR abs/1307.2342 (2013) - 2012
- [c43]Gabriel Peyré, Jalal Fadili, Julien Rabin:
Wasserstein active contours. ICIP 2012: 2541-2544 - [c42]Charles-Alban Deledalle, Samuel Vaiter, Gabriel Peyré, Jalal Fadili, Charles Dossal:
Unbiased risk estimation for sparse analysis regularization. ICIP 2012: 3053-3056 - [c41]Stephen Becker, Mohamed-Jalal Fadili:
A quasi-Newton proximal splitting method. NIPS 2012: 2627-2635 - [i9]Charles-Alban Deledalle, Samuel Vaiter, Gabriel Peyré, Jalal Fadili, Charles Dossal:
Risk estimation for matrix recovery with spectral regularization. CoRR abs/1205.1482 (2012) - [i8]Laurent Jacques, David K. Hammond, Mohamed-Jalal Fadili:
Stabilizing Nonuniformly Quantized Compressed Sensing with Scalar Companders. CoRR abs/1206.6003 (2012) - [i7]Samuel Vaiter, Charles-Alban Deledalle, Gabriel Peyré, Jalal Fadili, Charles Dossal:
The degrees of freedom of the Group Lasso for a General Design. CoRR abs/1212.6478 (2012) - 2011
- [j30]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): 121-139 (2011) - [j29]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): 893-895 (2011) - [j28]Ildar Khalidov, Jalal Fadili, François Lazeyras, Dimitri Van De Ville, Michael Unser:
Activelets: Wavelets for sparse representation of hemodynamic responses. Signal Process. 91(12): 2810-2821 (2011) - [j27]Jalal Fadili, Gabriel Peyré:
Total Variation Projection With First Order Schemes. IEEE Trans. Image Process. 20(3): 657-669 (2011) - [j26]Laurent Jacques, David K. Hammond, Mohamed-Jalal Fadili:
Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine. IEEE Trans. Inf. Theory 57(1): 559-571 (2011) - [c40]Gabriel Peyré, Jalal Fadili:
Group sparsity with overlapping partition functions. EUSIPCO 2011: 303-307 - [c39]Gabriel Peyré, Jalal Fadili, Christophe Chesneau:
Adaptive structured block sparsity via dyadic partitioning. EUSIPCO 2011: 1455-1459 - [c38]François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck:
Data augmentation for galaxy density map reconstruction. ICIP 2011: 1301-1304 - [c37]François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck:
Inverse problems with poisson noise: Primal and primal-dual splitting. ICIP 2011: 1901-1904 - [c36]Laurent Jacques, David K. Hammond, Mohamed-Jalal Fadili:
Weighted fidelity in non-uniformly quantized compressed sensing. ICIP 2011: 1921-1924 - [c35]François-Xavier Dupé, Jalal Fadili, Jean-Luc Starck:
Linear inverse problems with various noise models and mixed regularizations. VALUETOOLS 2011: 621-626 - [i6]Charles Dossal, Marie-Line Chabanol, Gabriel Peyré, Jalal Fadili:
Sharp Support Recovery from Noisy Random Measurements by L1 minimization. CoRR abs/1101.1577 (2011) - [i5]Samuel Vaiter, Gabriel Peyré, Charles Dossal, Jalal Fadili:
Robust Sparse Analysis Regularization. CoRR abs/1109.6222 (2011) - [i4]Charles Dossal, Maher Kachour, Jalal Fadili, Gabriel Peyré, Christophe Chesneau:
The degrees of freedom of penalized l1 minimization. CoRR abs/1111.1162 (2011) - 2010
- [b2]Jean-Luc Starck, Fionn Murtagh, Mohamed-Jalal Fadili:
Sparse Image and Signal Processing - Wavelets, Curvelets, Morphological Diversity. Cambridge University Press 2010, ISBN 978-0-521-11913-9, pp. I-XVII, 1-316 - [b1]Mohamed-Jalal Fadili:
Une exploration des problèmes inverses par les représentations parcimonieuses et l'optimisation non lisse. (Exploring inverse problems with non-smooth optimization and sparse representations). University of Caen Normandy, France, 2010 - [j25]Mohamed-Jalal Fadili, Jean-Luc Starck, Michael Elad, David L. Donoho:
MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting. Comput. Sci. Eng. 12(1): 44-63 (2010) - [j24]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): 28-45 (2010) - [j23]Sylvain Durand, Jalal Fadili, Mila Nikolova:
Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients. J. Math. Imaging Vis. 36(3): 201-226 (2010) - [j22]Mohamed-Jalal Fadili, Jean-Luc Starck, Jérôme Bobin, Yassir Moudden:
Image Decomposition and Separation Using Sparse Representations: An Overview. Proc. IEEE 98(6): 983-994 (2010) - [j21]Gabriel Peyré, Jalal Fadili, Jean-Luc Starck:
Learning the Morphological Diversity. SIAM J. Imaging Sci. 3(3): 646-669 (2010)
2000 – 2009
- 2009
- [j20]Mohamed-Jalal Fadili, Jean-Luc Starck, Fionn Murtagh:
Inpainting and Zooming Using Sparse Representations. Comput. J. 52(1): 64-79 (2009) - [j19]Jérôme Bobin, Yassir Moudden, Jalal Fadili, Jean-Luc Starck:
Morphological Diversity and Sparsity for Multichannel Data Restoration. J. Math. Imaging Vis. 33(2): 149-168 (2009) - [j18]François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck:
A Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations. IEEE Trans. Image Process. 18(2): 310-321 (2009) - [c34]Yannick Boursier, Laurent Jacques, Didier Raboud, Pascal Frossard, Mohamed-Jalal Fadili, Pierre Vandergheynst:
TV-regularized generation of planar images from omnicams. ICIP 2009: 1161-1164 - [c33]Mohamed-Jalal Fadili, Gabriel Peyré:
Total variation projection with first order schemes. ICIP 2009: 1325-1328 - [c32]Christophe Chesneau, Mohamed-Jalal Fadili, Jean-Luc Starck:
Image deconvolution by stein block thresholding. ICIP 2009: 1329-1332 - [c31]Jean-Luc Starck, Mohamed-Jalal Fadili:
An overview of inverse problem regularization using sparsity. ICIP 2009: 1453-1456 - [c30]Mohamed-Jalal Fadili, Jean-Luc Starck:
Monotone operator splitting for optimization problems in sparse recovery. ICIP 2009: 1461-1464 - [c29]Laurent Jacques, David K. Hammond, Mohamed-Jalal Fadili:
DeQuantizing Compressed Sensing with non-Gaussian constraints. ICIP 2009: 1465-1468 - [c28]Jérôme Bobin, Yassir Moudden, Jean-Luc Starck, Mohamed-Jalal Fadili:
Sparsity and morphological diversity for hyperspectral data analysis. ICIP 2009: 1481-1484 - [c27]Yassir Moudden, Jérôme Bobin, Jean-Luc Starck, Jalal Fadili:
Blind Source Separation with Spatio-SpectralSparsity Constraints - Application to Hyperspectral Data Analysis. ICA 2009: 523-531 - [c26]François Lecellier, Stéphanie Jehan-Besson, Jalal Fadili, Gilles Aubert, Marinette Revenu:
Optimization of Divergences within the Exponential Family for Image Segmentation. SSVM 2009: 137-149 - [c25]Sylvain Durand, Jalal Fadili, Mila Nikolova:
Multiplicative Noise Cleaning via a Variational Method Involving Curvelet Coefficients. SSVM 2009: 282-294 - [r2]Jalal Fadili, Jean-Luc Starck:
Curvelets and Ridgelets. Encyclopedia of Complexity and Systems Science 2009: 1718-1738 - [r1]Jean-Luc Starck, Jalal Fadili:
Numerical Issues When Using Wavelets. Encyclopedia of Complexity and Systems Science 2009: 6352-6368 - [i3]Laurent Jacques, David K. Hammond, Jalal Fadili:
Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine. CoRR abs/0902.2367 (2009) - 2008
- [j17]Bo Zhang, Mohamed-Jalal Fadili, Jean-Luc Starck:
Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal. IEEE Trans. Image Process. 17(7): 1093-1108 (2008) - [c24]François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck:
Image deconvolution under poisson noise using sparse representations and proximal thresholding iteration. ICASSP 2008: 761-764 - [c23]François Lecellier, Jalal Fadili, Stéphanie Jehan-Besson, Marinette Revenu, Gilles Aubert:
Region-based active contours and sparse representations for texture segmentation. ICPR 2008: 1-4 - [c22]François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck:
Deconvolution of confocal microscopy images using proximal iteration and sparse representations. ISBI 2008: 736-739 - [i2]François Lecellier, Stéphanie Jehan-Besson, Jalal Fadili, Gilles Aubert, Marinette Revenu:
Statistical region-based active contours with exponential family observations. CoRR abs/0805.3217 (2008) - [i1]François Lecellier, Stéphanie Jehan-Besson, Jalal Fadili, Gilles Aubert, Marinette Revenu, Eric Saloux:
Region-based active contour with noise and shape priors. CoRR abs/0805.3218 (2008) - 2007
- [j16]Larbi Boubchir, Jalal Fadili:
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". Pattern Recognit. Lett. 28(13): 1848-1851 (2007) - [j15]Jean-Luc Starck, Jalal Fadili, Fionn Murtagh:
The Undecimated Wavelet Decomposition and its Reconstruction. IEEE Trans. Image Process. 16(2): 297-309 (2007) - [j14]Jérôme Bobin, Jean-Luc Starck, Jalal Fadili, Yassir Moudden:
Sparsity and Morphological Diversity in Blind Source Separation. IEEE Trans. Image Process. 16(11): 2662-2674 (2007) - [j13]Jérôme Bobin, Jean-Luc Starck, Jalal Fadili, Yassir Moudden, David L. Donoho:
Morphological Component Analysis: An Adaptive Thresholding Strategy. IEEE Trans. Image Process. 16(11): 2675-2681 (2007) - [c21]Jérôme Bobin, Yassir Moudden, Jalal Fadili, Jean-Luc Starck:
Morphological Diversity and Sparsity in Blind Source Separation. ICA 2007: 349-356 - [c20]Mohamed-Jalal Fadili, Jean-Luc Starck, Larbi Boubchir:
Morphological Diversity and Sparse Image Denoising. ICASSP (1) 2007: 589-592 - [c19]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: 233-236 - [c18]David Tschumperlé, Yohan Bentolila, Jean Martinot, Jalal Fadili:
Fast Time-Space Tracking of Smoothly Moving Fine Structures in Image Sequences. ICIP (6) 2007: 317-320 - 2006
- [j12]Larbi Boubchir, Mohamed-Jalal Fadili:
A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior. Pattern Recognit. Lett. 27(12): 1370-1382 (2006) - [c17]David Tschumperlé, Jalal Fadili:
Wire Structure Pattern Extraction and Tracking From X-Ray Images of Composite Mechanisms. CVPR (2) 2006: 2461-2466 - [c16]Bo Zhang, Mohamed-Jalal Fadili, Jean-Luc Starck:
Multi-Scale Variance Stabilizing Transform for Multi-Dimensional Poisson Count Image Denoising. ICASSP (2) 2006: 81-84 - [c15]François Lecellier, Stéphanie Jehan-Besson, Jalal Fadili, Gilles Aubert, Marinette Revenu:
Statistical Region-Based Active Contours with Exponential Family Observations. ICASSP (2) 2006: 113-116 - [c14]François Lecellier, Stéphanie Jehan-Besson, Jalal Fadili, Gilles Aubert, Marinette Revenu, Eric Saloux:
Region-Based Active Contour with Noise and Shape Priors. ICIP 2006: 1649-1652 - 2005
- [j11]Voichita Maxim, Levent Sendur, Jalal Fadili, John Suckling, Rebecca L. Gould, Robert J. Howard, Ed Bullmore:
Fractional Gaussian noise, functional MRI and Alzheimer's disease. NeuroImage 25(1): 141-158 (2005) - [j10]Mohamed-Jalal Fadili, Larbi Boubchir:
Analytical form for a Bayesian wavelet estimator of images using the Bessel K form densities. IEEE Trans. Image Process. 14(2): 231-240 (2005) - [j9]Mohamed-Jalal Fadili, Ed Bullmore:
Penalized partially linear models using sparse representations with an application to fMRI time series. IEEE Trans. Signal Process. 53(9): 3436-3448 (2005) - [c13]Mohamed-Jalal Fadili, Jean-Luc Starck:
EM algorithm for sparse representation-based image inpainting. ICIP (2) 2005: 61-64 - [c12]Larbi Boubchir, Jalal Fadili:
Bayesian denoising based on the MAP estimation in wavelet-domain using Bessel K form prior. ICIP (1) 2005: 113-116 - [c11]Larbi Boubchir, Jalal Fadili:
Multivariate statistical modeling of images with the curvelet transform. ISSPA 2005: 747-750 - 2004
- [j8]Mohamed-Jalal Fadili, Edward T. Bullmore:
A comparative evaluation of wavelet-based methods for hypothesis testing of brain activation maps. NeuroImage 23(3): 1112-1128 (2004) - [j7]Mohamed-Jalal Fadili, Mahmoud Melkemi, Abderrahim Elmoataz:
Non-convex onion-peeling using a shape hull algorithm. Pattern Recognit. Lett. 25(14): 1577-1585 (2004) - [c10]Hua Li, Abderrahim Elmoataz, Jalal Fadili, Su Ruan, Barbara Romaniuk:
3d medical image segmentation approach based on multi-label front propagation. ICIP 2004: 2925-2928 - [c9]Hua Li, Abderrahim Elmoataz, Mohamed-Jalal Fadili, Su Ruan:
A Multi-Label Front Propagation Approach for Object Segmentation. ICPR (1) 2004: 600-603 - [c8]Larbi Boubchir, Mohamed-Jalal Fadili, Daniel Bloyet:
Bayesian Denoising in the Wavelet-Domain Using an Analytical Approximate a-Stable Prior. ICPR (4) 2004: 889-892 - [c7]Mohamed-Jalal Fadili, Edward T. Bullmore:
Penalized Partially Linear Models using Orthonormal Wavelet Bases with an Application to fMRI Time Series. ISBI 2004: 1171-1174 - [c6]Hua Li, Abderrahim Elmoataz, Mohamed-Jalal Fadili, Su Ruan:
Dual Front Evolution Model and Its Application in Medical Imaging. MICCAI (1) 2004: 103-110 - 2002
- [j6]Su Ruan, Bruno Moretti, Jalal Fadili, Daniel Bloyet:
Fuzzy Markovian Segmentation in Application of Magnetic Resonance Images. Comput. Vis. Image Underst. 85(1): 54-69 (2002) - [j5]Mohamed-Jalal Fadili, Edward T. Bullmore:
Wavelet-Generalized Least Squares: A New BLU Estimator of Linear Regression Models with 1/f Errors. NeuroImage 15(1): 217-232 (2002) - [j4]Lea K. Pilgrim, Mohamed-Jalal Fadili, Paul C. Fletcher, Lorraine K. Tyler:
Overcoming Confounds of Stimulus Blocking: An Event-Related fMRI Design of Semantic Processing. NeuroImage 16(3): 713-723 (2002) - 2001
- [j3]Mohamed-Jalal Fadili, Su Ruan, Daniel Bloyet, Bernard Mazoyer:
On the number of clusters and the fuzziness index for unsupervised FCA application to BOLD fMRI time series. Medical Image Anal. 5(1): 55-67 (2001) - [c5]Mohamed-Jalal Fadili, Edward T. Bullmore, M. Brett:
Wavelet methods for characterising mono- and poly-fractal noise structures in shortish time series: an application to functional MRI. ICIP (2) 2001: 225-228 - [c4]Su Ruan, Bruno Moretti, Jalal Fadili, Daniel Bloyet:
Segmentation of magnetic resonance images using fuzzy Markov random fields. ICIP (3) 2001: 1051-1054 - [c3]Sophie Schüpp, Abderrahim Elmoataz, Mohamed-Jalal Fadili, Daniel Bloyet:
Fast Statistical Level Sets Image Segmentation for Biomedical Applications. Scale-Space 2001: 380-388 - 2000
- [j2]Bruno Moretti, Mohamed-Jalal Fadili, Su Ruan, Daniel Bloyet, Bernard Mazoyer:
Phantom-based performance evaluation: Application to brain segmentation from magnetic resonance images. Medical Image Anal. 4(4): 303-316 (2000) - [j1]Su Ruan, Cyril Jaggi, Jing-Hao Xue, Mohamed-Jalal Fadili, Daniel Bloyet:
Brain Tissue Classification of Magnetic Resonance Images Using Partial Volume Modeling. IEEE Trans. Medical Imaging 19(12): 1179-1187 (2000) - [c2]Sophie Schüpp, Abderrahim Elmoataz, Mohamed-Jalal Fadili, Paulette Herlin, Daniel Bloyet:
Image Segmentation via Multiple Active Contour Models and Fuzzy Clustering with Biomedical Applications. ICPR 2000: 1622-1625 - [c1]Su Ruan, Mohamed-Jalal Fadili, Daniel Bloyet, Jing-Hao Xue:
Unsupervised Segmentation of Three-Dimensional Brain Images. ICPR 2000: 3409-3412
Coauthor Index
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