Journal Papers
-
L. Ambrosio, S. Aziznejad, C. Brena, M. Unser, ”Linear Inverse Problems with Hessian-Schatten Total Variation,” Calculus of Variatoins and Partial Differential Equations, vol. 63, 2024.
-
S. Aziznejad, J. Campos, M. Unser, ”Measuring Complexity of Learning Schemes Using Hessian-Schatten Total Variation,” SIAM Journal on Mathematics of Data Science, vol. 5, 2023.
-
I. Lloréns Jover, T. Debarre, S. Aziznejad, M. Unser, ”Coupled Splines for Sparse Curve Fitting,” IEEE Transactions on Image Processing, vol. 31, 2022.
-
S. Aziznejad*, T. Debarre*, M. Unser, ”Sparsest Univariate Learning Models Under Lipschitz Constraint,” IEEE Open Journal of Signal Processing, vol. 3, 2022. *Equal contribution.
-
J. Campos, S. Aziznejad, M. Unser, ”Learning Continuous and Piecewise-Linear Functions with Hessian Total-Variation Regularization,” IEEE Open Journal of Signal Processing, vol. 3, 2022.
-
S. Aziznejad, J. Fageot, ”Wavelet Compressibility
of Compound Poisson Processes,” IEEE Transactions on Information Theory, vol. 68, 2022.
-
M. Unser, S. Aziznejad, ”Convex Optimization in Sums of Banach Spaces,” Applied and Computational Harmonic Analysis, vol. 56, 2022.
-
T. Debarre, S. Aziznejad, M. Unser, ”Continuous-Domain Formulation of Inverse Problems for Composite Sparse-Plus-Smooth Signals,” IEEE Open Journal of Signal Processing, vol. 2, 2021.
-
S. Aziznejad, M. Unser, ”Duality Mapping for Schatten Matrix Norms,” Numerical Functional Analysis and Optimization, vol. 42, 2021.
-
A. Goujon, S. Aziznejad, A. Naderi, M. Unser, ”Shortest Multi-Spline Bases for Generalized Sampling,” Journal of Computational and Applied Mathematics, vol. 395, 2021.
-
S. Aziznejad, M. Unser, ”Multikernel Regression with Sparsity Constraint,” SIAM Journal on Mathematics of Data Science, vol. 3, 2021.
-
S. Aziznejad, J. Fageot, ”Wavelet Analysis of the Besov Regularity
of Lévy White Noises,” Electronic Journal of Probability, vol. 25, 2020.
-
P. Bohra, J. Campos, H. Gupta, S. Aziznejad, M. Unser, ”Learning Activation Functions in Deep (Spline) Neural Networks,” IEEE Open Journal of Signal Processing, vol. 1, 2020.
-
S. Aziznejad, H. Gupta, J. Campos, M. Unser, ”Deep Neural Networks with Trainable Activations and Controlled Lipschitz Constant,” IEEE Transactions on Signal Processing, vol. 68, 2020.
-
L. T. Dadi*, S. Aziznejad*, M. Unser, "Generating Sparse Stochastic Processes Using Matched Splines," IEEE Transactions on Signal Processing, vol. 68, 2020. *Equal contribution.
-
J. Fageot, S. Aziznejad, M. Unser, V. Uhlmann, ”Support and Approximation
Properties of Hermite Splines,” Journal of Computational and Applied Mathematics, vol. 368, 2020.
-
T. Debarre, S. Aziznejad, M. Unser, ”Hybrid-Spline Dictionaries for Continuous Domain Inverse Problems,” IEEE Transactions on Signal Processing, vol. 67, 2019.
Conference Proceedings
-
M. Pouria, S. Aziznejad, M. Unser, D. Sage ”Graphic: Graph-Based Hierarchical Clustering for Single-Molecule Localization Microscopy,” Proceedings of the Eighteenth IEEE International Symposium on Biomedical Imaging (ISBI'21), pp. 1892-1896, 2021.
-
S. Aziznejad, E. Soubies, M. Unser, ”Dictionary Learning with Statistical Sparsity in the Presence of Noise,” Proceedings of the Twenty-Eighth European Signal Processing Conference (EUSIPCO'20), pp. 2026-2029, 2020.
-
S. Aziznejad, A. Naderi, M. Unser, ”Optimal Spline Generators for Derivative
Sampling,” Proceedings of the Thirteenth International Conference on Sampling Theory and Applications (SampTA'19), pp. 1-4, 2019.
-
S. Aziznejad, M. Unser, ”Deep Spline Networks with Control of Lipschitz Regularity,”,
Proceedings of the Forty-Fourth IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'19), pp. 3242-3246, 2019. Best Student Paper Award
-
G. Delfi, S. Aziznejad, S. Amani, M. Babaie-Zadeh, C. Jutten, "A
generalization of weighted sparse decomposition to negative weights," Proceedings of the Twenty-Fifth European Signal Processing Conference (EUSIPCO'17), pp. 2146-2150, 2017.
-
E. Asadi, S. Aziznejad, M.H. Amerimehr, A. Amini, "A fast matrix
completion method for index coding," Proceedings of the Twenty-Fifth European Signal Processing Conference (EUSIPCO'17), pp. 2606-2610, 2017.
Conference Abstracts
-
S. Aziznejad, M. Unser, ”Multiple-Kernel Regression with Sparsity Constraints,”
Proceedings of the Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS'19), Toulouse, French Republic, July 1-4, 2019, paper no. 103. Oral Presentation (33 out of 149)
-
T. Debarre, S. Aziznejad, M. Unser, ”Sparse Dictionaries for Continuous-Domain
Inverse Problems,” Proceedings of the Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS'19), Toulouse, French Republic, July 1-4, 2019, paper no. 177.
Template designed by Plain Academic . Last updated August 2024.