96 results on '"Jalal Fadili"'
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2. Exploring the Connection Between Neuron Coverage and Adversarial Robustness in DNN Classifiers.
3. A Quasi-Newton Primal-Dual Algorithm with Line Search.
4. Convergence Guarantees of Overparametrized Wide Deep Inverse Prior.
5. Statistical and morphological component separation of foregrounds in convolved HI skymaps.
6. Wasserstein Control of Mirror Langevin Monte Carlo.
7. Discrete p-bilaplacian Operators on Graphs.
8. Model Consistency for Learning with Mirror-Stratifiable Regularizers.
9. The Nonlocal p-Laplacian Evolution Problem on Graphs: The Continuum Limit.
10. Sparse Support Recovery with Non-smooth Loss Functions.
11. A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization.
12. Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness.
13. Guest Editorial JMIV Special Issue SSVM’21
14. Nonlocal Continuum Limits of p-Laplacian Problems on Graphs
15. Local Linear Convergence of Forward-Backward under Partial Smoothness.
16. On the convergence rates of proximal splitting algorithms.
17. Continuum limit of [[EQUATION]]-Laplacian evolution problems on graphs: [[EQUATION]]graphons and sparse graphs
18. Adaptive Parameter Selection for Block Wavelet-Thresholding Deconvolution.
19. A quasi-Newton proximal splitting method.
20. Unbiased risk estimation for sparse analysis regularization.
21. Wasserstein active contours.
22. Adaptive structured block sparsity via dyadic partitioning.
23. Group sparsity with overlapping partition functions.
24. Inverse problems with poisson noise: Primal and primal-dual splitting.
25. Data augmentation for galaxy density map reconstruction.
26. Weighted fidelity in non-uniformly quantized compressed sensing.
27. Linear inverse problems with various noise models and mixed regularizations.
28. Immediate and one-point roughness measurements using spectrally shaped light
29. TV-regularized generation of planar images from omnicams.
30. Monotone operator splitting for optimization problems in sparse recovery.
31. Image deconvolution by stein block thresholding.
32. DeQuantizing Compressed Sensing with non-Gaussian constraints.
33. An overview of inverse problem regularization using sparsity.
34. Sparsity and morphological diversity for hyperspectral data analysis.
35. Total variation projection with first order schemes.
36. Multiplicative Noise Cleaning via a Variational Method Involving Curvelet Coefficients.
37. Optimization of Divergences within the Exponential Family for Image Segmentation.
38. Blind Source Separation with Spatio-SpectralSparsity Constraints - Application to Hyperspectral Data Analysis.
39. Deconvolution of confocal microscopy images using proximal iteration and sparse representations.
40. Region-based active contours and sparse representations for texture segmentation.
41. Image deconvolution under poisson noise using sparse representations and proximal thresholding iteration.
42. Morphological Diversity and Sparsity in Blind Source Separation.
43. Morphological Diversity and Sparse Image Denoising.
44. Fast Time-Space Tracking of Smoothly Moving Fine Structures in Image Sequences.
45. Multiscale Variance-Stabilizing Transform for Mixed-Poisson-Gaussian Processes and its Applications in Bioimaging.
46. Wire Structure Pattern Extraction and Tracking From X-Ray Images of Composite Mechanisms.
47. Multi-Scale Variance Stabilizing Transform for Multi-Dimensional Poisson Count Image Denoising.
48. Statistical Region-Based Active Contours with Exponential Family Observations.
49. Region-Based Active Contour with Noise and Shape Priors.
50. Bayesian denoising based on the MAP estimation in wavelet-domain using Bessel K form prior.
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