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  1. A. Amini, R. Madani, M. Unser, "A Universal Formula for Generalized Cardinal B-Splines," Applied and Computational Harmonic Analysis, in press.
  2. A. Badoual, P. Novara, L. Romani, D. Schmitter, M. Unser, "A Non-Stationary Subdivision Scheme for the Construction of Deformable Models with Sphere-Like Topology," Graphical Models, in press.
  3. H. Deschout, I. Platzman, D. Sage, L. Feletti, J.P. Spatz, A. Radenovic, "Investigating Focal Adhesion Substructures by Localization Microscopy and Expectation Maximization of a Gaussian Mixture," Biophysical Journal, in press.
  4. D. Schmitter, M. Unser, "Landmark-Based Shape Encoding and Sparse-Dictionary Learning in the Continuous Domain," IEEE Transactions on Image Processing, in press.
  5. V. Uhlmann, C. Haubold, F.A. Hamprecht, M. Unser, "DiversePathsJ: Diverse Shortest Paths for Bioimage Analysis," Bioinformatics, in press.
  6. M. Unser, J. Fageot, J.P. Ward, "Splines Are Universal Solutions of Linear Inverse Problems with Generalized-TV Regularization," SIAM Review, in press.
  7. 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.



  1. J. Fageot, T. Humeau, "Unified View on Lévy White Noises: General Integrability Conditions and Applications to Linear SPDE," arXiv:1708.02500 [math.PR]
  2. J. Fageot, V. Uhlmann, M. Unser, "Gaussian and Sparse Processes Are Limits of Generalized Poisson Processes," arXiv:1702.05003 [math.PR].
  3. J. Fageot, M. Unser, "Scaling Limits of Solutions of SPDE Driven by Lévy White Noises," arXiv:1610.06711 [math.PR].
  4. J. Fageot, M. Unser, J.P. Ward, "The n-Term Approximation of Periodic Generalized Lévy Processes," arXiv:1702.03335 [math.PR].
  5. H. Gupta, K.H. Jin, H.Q. Nguyen, M.T. McCann, M. Unser, "CNN-Based Projected Gradient Descent for Consistent Image Reconstruction," arXiv:1709.01809 [cs.CV]
  6. H.Q. Nguyen, E. Bostan, M. Unser, "Learning Convex Regularizers for Optimal Bayesian Denoising," arXiv:1705.05591 [cs.LG]
  7. D. Schmitter, J. Fageot, A. Badoual, P. Garcia-Amorena, M. Unser, "Compactly-Supported Smooth Interpolators for Shape Modeling with Varying Resolution," arXiv:1710.03617 [math.FA]