Mohamed-Jalal Fadili
Orcid: 0000-0002-8165-7578
According to our database1,
Mohamed-Jalal Fadili
authored at least 142 papers
between 2000 and 2024.
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Bibliography
2024
SIAM J. Optim., March, 2024
Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems trained with Gradient Descent.
CoRR, 2024
2023
Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classification.
SIAM J. Imaging Sci., March, 2023
CoRR, 2023
Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems.
CoRR, 2023
Geometric characterizations for strong minima with applications to nuclear norm minimization problems.
CoRR, 2023
Simpinns: Simulation-Driven Physics-Informed Neural Networks for Enhanced Performance in Nonlinear Inverse Problems.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
Exploring the Connection Between Neuron Coverage and Adversarial Robustness in DNN Classifiers.
Proceedings of the IEEE International Conference on Image Processing, 2023
2022
From the Ravine Method to the Nesterov Method and Vice Versa: A Dynamical System Perspective.
SIAM J. Optim., September, 2022
First-order optimization algorithms via inertial systems with Hessian driven damping.
Math. Program., 2022
J. Optim. Theory Appl., 2022
J. Glob. Optim., 2022
Statistical and morphological component separation of foregrounds in convolved HI skymaps.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2022
2021
Limits and consistency of non-local and graph approximations to the Eikonal equation.
CoRR, 2021
2020
SIAM J. Numer. Anal., 2020
Generalized Conditional Gradient with Augmented Lagrangian for Composite Minimization.
SIAM J. Optim., 2020
J. Math. Imaging Vis., 2020
Continuum limit of p-Laplacian evolution problems on graphs: L<sup>q</sup> graphons and sparse graphs.
CoRR, 2020
Proceedings of the Image and Signal Processing - 9th International Conference, 2020
Proceedings of the Conference on Learning Theory, 2020
2019
SIAM J. Optim., 2019
SIAM J. Imaging Sci., 2019
PAC-Bayesian risk bounds for group-analysis sparse regression by exponential weighting.
J. Multivar. Anal., 2019
J. Optim. Theory Appl., 2019
J. Optim. Theory Appl., 2019
J. Math. Imaging Vis., 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Proceedings of the Image and Signal Processing - 8th International Conference, 2018
2017
Activity Identification and Local Linear Convergence of Forward-Backward-type Methods.
SIAM J. Optim., 2017
Local Convergence Properties of Douglas-Rachford and Alternating Direction Method of Multipliers.
J. Optim. Theory Appl., 2017
2016
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).
CoRR, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
2015
J. Multivar. Anal., 2015
Commun. Stat. Simul. Comput., 2015
Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015
2014
Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection.
SIAM J. Imaging Sci., 2014
J. Math. Imaging Vis., 2014
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
IEEE Trans. Inf. Theory, 2013
Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013
2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
2011
Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine.
IEEE Trans. Inf. Theory, 2011
IEEE Trans. Image Process., 2011
Signal Process., 2011
Introduction to the issue on Adaptive Sparse Representation of Data and Applications in Signal and Image Processing.
IEEE J. Sel. Top. Signal Process., 2011
J. Math. Imaging Vis., 2011
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools Communications, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Proceedings of the 19th European Signal Processing Conference, 2011
Proceedings of the 19th European Signal Processing Conference, 2011
2010
Proc. IEEE, 2010
J. Math. Imaging Vis., 2010
J. Math. Imaging Vis., 2010
Comput. Sci. Eng., 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).
, 2010
Cambridge University Press, ISBN: 978-0-521-11913-9, 2010
2009
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009
A Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations.
IEEE Trans. Image Process., 2009
J. Math. Imaging Vis., 2009
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009
Multiplicative Noise Cleaning via a Variational Method Involving Curvelet Coefficients.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009
Blind Source Separation with Spatio-SpectralSparsity Constraints - Application to Hyperspectral Data Analysis.
Proceedings of the Independent Component Analysis and Signal Separation, 2009
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the International Conference on Image Processing, 2009
2008
IEEE Trans. Image Process., 2008
Deconvolution of confocal microscopy images using proximal iteration and sparse representations.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Image deconvolution under poisson noise using sparse representations and proximal thresholding iteration.
Proceedings of the IEEE International Conference on Acoustics, 2008
2007
IEEE Trans. Image Process., 2007
IEEE Trans. Image Process., 2007
IEEE Trans. Image Process., 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".
Pattern Recognit. Lett., 2007
Multiscale Variance-Stabilizing Transform for Mixed-Poisson-Gaussian Processes and its Applications in Bioimaging.
Proceedings of the International Conference on Image Processing, 2007
Proceedings of the International Conference on Image Processing, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
Proceedings of the Independent Component Analysis and Signal Separation, 2007
2006
A closed-form nonparametric Bayesian estimator in the wavelet domain of images using an approximate alpha-stable prior.
Pattern Recognit. Lett., 2006
Proceedings of the International Conference on Image Processing, 2006
Multi-Scale Variance Stabilizing Transform for Multi-Dimensional Poisson Count Image Denoising.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Wire Structure Pattern Extraction and Tracking From X-Ray Images of Composite Mechanisms.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006
2005
Penalized partially linear models using sparse representations with an application to fMRI time series.
IEEE Trans. Signal Process., 2005
Analytical form for a Bayesian wavelet estimator of images using the Bessel K form densities.
IEEE Trans. Image Process., 2005
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005
Proceedings of the 2005 International Conference on Image Processing, 2005
Bayesian denoising based on the MAP estimation in wavelet-domain using Bessel K form prior.
Proceedings of the 2005 International Conference on Image Processing, 2005
2004
A comparative evaluation of wavelet-based methods for hypothesis testing of brain activation maps.
NeuroImage, 2004
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
Penalized Partially Linear Models using Orthonormal Wavelet Bases with an Application to fMRI Time Series.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Bayesian Denoising in the Wavelet-Domain Using an Analytical Approximate a-Stable Prior.
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Proceedings of the 2004 International Conference on Image Processing, 2004
2002
Wavelet-Generalized Least Squares: A New BLU Estimator of Linear Regression Models with 1/f Errors.
NeuroImage, 2002
Comput. Vis. Image Underst., 2002
2001
On the number of clusters and the fuzziness index for unsupervised FCA application to BOLD fMRI time series.
Medical Image Anal., 2001
Proceedings of the Scale-Space and Morphology in Computer Vision, 2001
Proceedings of the 2001 International Conference on Image Processing, 2001
Wavelet methods for characterising mono- and poly-fractal noise structures in shortish time series: an application to functional MRI.
Proceedings of the 2001 International Conference on Image Processing, 2001
2000
Brain Tissue Classification of Magnetic Resonance Images Using Partial Volume Modeling.
IEEE Trans. Medical Imaging, 2000
Phantom-based performance evaluation: Application to brain segmentation from magnetic resonance images.
Medical Image Anal., 2000
Image Segmentation via Multiple Active Contour Models and Fuzzy Clustering with Biomedical Applications.
Proceedings of the 15th International Conference on Pattern Recognition, 2000
Proceedings of the 15th International Conference on Pattern Recognition, 2000