Under Review

  1. S. Aziznejad, J. Campos, M. Unser, ”Measuring Complexity of Learning Schemes Using Hessian-Schatten Total Variation,” arXiv preprint arXiv:2112.06209, 2021.

Journal Papers

  1. I. Lloréns Jover, T. Debarre, S. Aziznejad, M. Unser, ”Coupled Splines for Sparse Curve Fitting,” IEEE Transactions on Image Processing, in press.

  2. S. Aziznejad*, T. Debarre*, M. Unser, ”Sparsest Univariate Learning Models Under Lipschitz Constraint,” IEEE Open Journal of Signal Processing, vol. 3, pp. 140-154, 2022. *Equal contribution.

  3. 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, pp. 36-48, 2022.

  4. S. Aziznejad, J. Fageot, ”Wavelet Compressibility of Compound Poisson Processes,” IEEE Transactions on Information Theory, vol. 68, no. 4, pp. 2752-2766, 2022.

  5. M. Unser, S. Aziznejad, ”Convex Optimization in Sums of Banach Spaces,” Applied and Computational Harmonic Analysis, vol. 56, pp. 1-25, 2022.

  6. 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, pp. 545-558, 2021.

  7. S. Aziznejad, M. Unser, ”Duality Mapping for Schatten Matrix Norms,” Numerical Functional Analysis and Optimization, vol. 42, no. 6, pp. 679-695, 2021.

  8. A. Goujon, S. Aziznejad, A. Naderi, M. Unser, ”Shortest Multi-Spline Bases for Generalized Sampling,” Journal of Computational and Applied Mathematics, vol. 395, paper no. 113610, 2021.

  9. S. Aziznejad, M. Unser, ”Multikernel Regression with Sparsity Constraint,” SIAM Journal on Mathematics of Data Science, vol. 3, no. 1, pp. 201-224, 2021.

  10. S. Aziznejad, J. Fageot, ”Wavelet Analysis of the Besov Regularity of Lévy White Noises,” Electronic Journal of Probability, vol. 25, paper no. 158, 2020.

  11. 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, pp. 295-309, 2020.

  12. 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, pp. 4688-4699, 2020.

  13. L. T. Dadi*, S. Aziznejad*, M. Unser, "Generating Sparse Stochastic Processes Using Matched Splines," IEEE Transactions on Signal Processing, vol. 68, pp. 4397-4406, 2020. *Equal contribution.

  14. J. Fageot, S. Aziznejad, M. Unser, V. Uhlmann, ”Support and Approximation Properties of Hermite Splines,” Journal of Computational and Applied Mathematics, vol. 368, paper no. 112503, 2020.

  15. T. Debarre, S. Aziznejad, M. Unser, ”Hybrid-Spline Dictionaries for Continuous Domain Inverse Problems,” IEEE Transactions on Signal Processing, vol. 67, no. 22, pp. 5824-5836, 2019.

Conference Proceedings

  1. 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.

  2. 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.

  3. 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.

  4. 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

  5. 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.

  6. 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

  1. 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)

  2. 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.

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