Preprints

1. M. Unser, "A Unifying Representer Theorem for Inverse Problems and Machine Learning," Foundations of Computational Mathematics, in press.

Prepublications

1. S. Aziznejad, J. Fageot, "Wavelet Analysis of the Besov Regularity of Lévy White Noises," arXiv:1801.09245 [math.PR]
2. S. Aziznejad, J. Fageot, "Wavelet Compressibility of Compound Poisson Processes," arXiv:2003.11646 [cs.IT]
3. S. Aziznejad, M. Unser, "An L1 Representer Theorem for Multiple-Kernel Regression," arXiv:1811.00836 [cs.LG]
4. T. Debarre, Q. Denoyelle, M. Unser, J. Fageot, "Sparsest Continuous Piecewise-Linear Representation of Data," arXiv:2003.10112 [math.OC]
5. J. Fageot, T. Humeau, "Unified View on Lévy White Noises: General Integrability Conditions and Applications to Linear SPDE," arXiv:1708.02500 [math.PR]
6. J. Fageot, V. Uhlmann, Z. Püspöki, B. Beck, M. Unser, A. Depeursinge, "Principled Design and Implementation of Steerable Detectors," arXiv:1811.00863 [eess.IV]
7. H. Gupta, M.T. McCann, L. Donati, M. Unser, "CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM via Deep Adversarial Learning," bioRxiv 2020.03.20.001016
8. K.H. Jin, H. Gupta, J. Yerly, M. Stuber, M. Unser, "Time-Dependent Deep Image Prior for Dynamic MRI," arXiv:1910.01684 [eess.IV]
9. M. Unser, "A Unifying Representer Theorem for Inverse Problems and Machine Learning," arXiv:1903.00687 [math.OC]