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Preprints


  1. A. Badoual, M. Unser, A. Depeursinge, "Texture-Driven Parametric Snakes for Semi-Automatic Image Segmentation," Computer Vision and Image Understanding, in press.
  2. T. Debarre, J. Fageot, H. Gupta, M. Unser, "B-Spline-Based Exact Discretization of Continuous-Domain Inverse Problems with Generalized TV Regularization," IEEE Transactions on Information Theory, in press.
  3. Q. Denoyelle, V. Duval, G. Peyré, E. Soubies, "The Sliding Frank-Wolfe Algorithm and Its Application to Super-Resolution Microscopy," Inverse Problems, in press.
  4. J. Fageot, V. Uhlmann, M. Unser, "Gaussian and Sparse Processes Are Limits of Generalized Poisson Processes," Applied and Computational Harmonic Analysis, in press.
  5. J. Fageot, M. Unser, "Scaling Limits of Solutions of Linear Stochastic Differential Equations Driven by Lévy White Noises," Journal of Theoretical Probability, in press.
  6. J. Fageot, M. Unser, J.P. Ward, "The n-term Approximation of Periodic Generalized Lévy Processes," Journal of Theoretical Probability, in press.
  7. E. Soubies, F. Soulez, M.T. McCann, T.-a. Pham, L. Donati, T. Debarre, D. Sage, M. Unser, "Pocket Guide to Solve Inverse Problems with GlobalBioIm," Inverse Problems, in press.
  8. M. Unser, "A Representer Theorem for Deep Neural Networks," Journal of Machine Learning Research, in press.
  9. T. Debarre, S. Aziznejad, M. Unser, "Sparse Dictionaries for Continuous-Domain Inverse Problems," Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS'19), Toulouse, French Republic, July 1-4, 2019, in press.
  10. Q. Denoyelle, V. Duval, G. Peyré, E. Soubies, "The Sliding Frank-Wolfe Algorithm for the BLASSO," Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS'19), Toulouse, French Republic, July 1-4, 2019, in press.

 

Prepublications

  1. S. Aziznejad, J. Fageot, M. Unser, "Wavelet Analysis of the Besov Regularity of Lévy White Noises," arXiv:1801.09245 [math.PR]
  2. S. Aziznejad, M. Unser, "An L1 Representer Theorem for Multiple-Kernel Regression," arXiv:1811.00836 [cs.LG]
  3. J. Fageot, S. Aziznejad, M. Unser, V. Uhlmann, "Support and Approximation Properties of Hermite Splines," arXiv:1902.02565 [math.NA]
  4. J. Fageot, T. Humeau, "Unified View on Lévy White Noises: General Integrability Conditions and Applications to Linear SPDE," arXiv:1708.02500 [math.PR]
  5. J. Fageot, V. Uhlmann, Z. Püspöki, B. Beck, M. Unser, A. Depeursinge, "Principled Design and Implementation of Steerable Detectors," arXiv:1811.00863 [eess.IV]
  6. E. Soubies, F. Soulez, M.T. McCann, T.-a. Pham, L. Donati, T. Debarre, D. Sage, M. Unser, "Pocket Guide to Solve Inverse Problems with GlobalBioIm," arXiv:1812.07908 [cs.MS]
  7. M. Unser, "A Representer Theorem for Deep Neural Networks," arXiv:1802.09210 [stat.ML]
  8. M. Unser, "A Unifying Representer Theorem for Inverse Problems and Machine Learning," arXiv:1903.00687 [math.OC]