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Preprints


  1. A. Amini, R. Madani, M. Unser, "A Universal Formula for Generalized Cardinal B-Splines," Applied and Computational Harmonic Analysis, in press.
  2. M. Storath, A. Weinmann, M. Unser, "Jump-Penalized Least Absolute Values Estimation of Scalar or Circle-Valued Signals," Information and Inference: A Journal of the IMA, in press.
  3. M. Unser, J. Fageot, J.P. Ward, "Splines Are Universal Solutions of Linear Inverse Problems with Generalized-TV Regularization," SIAM Review, in press.
  4. C. Haubold, V. Uhlmann, M. Unser, F.A. Hamprecht, "Diverse M-Best Solutions by Dynamic Programming," Proceedings of the Thirty-Ninth German Conference on Pattern Recognition (GCPR'17), Basel BS, Swiss Confederation, September 13-15, 2017, in press.
  5. P. Pad, F. Salehi, E. Celis, P. Thiran, M. Unser, "Dictionary Learning Based on Sparse Distribution Tomography," Proceedings of the Thirty-Fourth International Conference on Machine Learning (ICML'17), Sydney, Commonwealth of Australia, August 6-11, 2017, in press.
  6. M. Unser, "Computational Bioimaging: How to Further Reduce Exposure and/or Increase Image Quality," Proceedings of the Thirty-Ninth Annual International Conference of the IEEE Engineering in Medicine and Biology Society, in conjunction with the biennial Conference of the French Society of Biological and Medical Engineering (EMBC'17), Jeju-do, Republic of Korea, July 11-15, 2017, in press.
  7. D. Sage, F. Soulez, "Computational Methods for High Resolution 3D Fluorescence Microscopy," The BioImage Analysis Community Conference "Workflows and Open Tools" (NEUBIAS2020'17), Lisbon, Portuguese Republic, February 12-17, 2017, in press.

 

Prepublications

  1. J. Fageot, V. Uhlmann, M. Unser, "Gaussian and Sparse Processes Are Limits of Generalized Poisson Processes," arXiv:1702.05003 [math.PR].
  2. J. Fageot, M. Unser, "Scaling Limits of Solutions of SPDE Driven by Lévy White Noises," arXiv:1610.06711 [math.PR].
  3. J. Fageot, M. Unser, J.P. Ward, "The n-Term Approximation of Periodic Generalized Lévy Processes," arXiv:1702.03335 [math.PR].
  4. H.Q. Nguyen, E. Bostan, M. Unser, "Learning Convex Regularizers for Optimal Bayesian Denoising," arXiv:1705.05591 [cs.LG]
  5. H.Q. Nguyen, M. Unser, "Approximation of Non-Decaying Signals from Shift-Invariant Subspaces," arXiv:1705.05601 [math.FA]