Publications (45)
Approximation of Non-Decaying Signals From Shift-Invariant Subspaces
Ha Q. Nguyen, Michael Unser
Diverse M-Best Solutions by Dynamic Programming
Carsten Haubold, Virginie Uhlmann, Michael Unser +1
Self-Supervised Deep Active Accelerated MRI
Kyong Hwan Jin, Michael Unser, Kwang Moo Yi
Construction of Hilbert Transform Pairs of Wavelet Bases and Gabor-like Transforms
Kunal Narayan Chaudhury, Michael Unser
On the Besov Regularity of Periodic Lévy Noises
Julien Fageot, Michael Unser, John Paul Ward
Native Banach spaces for splines and variational inverse problems
Michael Unser, Julien Fageot
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning
Ulugbek S. Kamilov, Sundeep Rangan, Alyson K. Fletcher +1
Angular Accuracy of Steerable Feature Detectors
Zsuzsanna Püspöki, Arash Amini, Julien Fageot +2
A unified formulation of Gaussian vs. sparse stochastic processes - Part I: Continuous-domain theory
Michael Unser, Pouya D. Tafti, Qiyu Sun
Left-Inverses of Fractional Laplacian and Sparse Stochastic Processes
Qiyu Sun, Michael Unser
Continuous-Domain Solutions of Linear Inverse Problems with Tikhonov vs. Generalized TV Regularization
Harshit Gupta, Julien Fageot, Michael Unser
Decay properties of Riesz transforms and steerable wavelets
John Paul Ward, Kunal Narayan Chaudhury, Michael Unser
Scaling Limits of Solutions of SPDE Driven by Lévy White Noises
Julien Fageot, Michael Unser
A Learning Approach to Optical Tomography
Morteza H. Shoreh, Ulugbek S. Kamilov, Ioannis N. Papadopoulos +4
Operator-Like Wavelet Bases of $L_2(\mathbb{R}^d)$
Ildar Khalidov, Michael Unser, John Paul Ward
Gabor wavelet analysis and the fractional Hilbert transform
Kunal Narayan Chaudhury, Michael Unser
Direct Reconstruction of Saturated Samples in Band-Limited OFDM Signals
Kyong Hwan Jin, Gain Kim, Yusuf Leblebici +2
Fast Piecewise-Affine Motion Estimation Without Segmentation
Denis Fortun, Martin Storath, Dennis Rickert +2
On the Shiftability of Dual-Tree Complex Wavelet Transforms
Kunal Narayan Chaudhury, Michael Unser
A unified formulation of Gaussian vs. sparse stochastic processes - Part II: Discrete-domain theory
Michael Unser, Pouya D. Tafti, Arash Amini +1
Gaussian and Sparse Processes Are Limits of Generalized Poisson Processes
Julien Fageot, Virginie Uhlmann, Michael Unser
Assessment of learning tomography using Mie theory
JooWon Lim, Alexandre Goy, Morteza Hasani Shoreh +2
On the Hilbert transform of wavelets
Kunal Narayan Chaudhury, Michael Unser
On the Continuity of Characteristic Functionals and Sparse Stochastic Modeling
Julien Fageot, Arash Amini, Michael Unser
Learning Convex Regularizers for Optimal Bayesian Denoising
Ha Q. Nguyen, Emrah Bostan, Michael Unser
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction
Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen +2
Deep Convolutional Neural Network for Inverse Problems in Imaging
Kyong Hwan Jin, Michael T. McCann, Emmanuel Froustey +1
Back-propagating the light of field stars to probe telescope mirrors aberrations
Ferréol Soulez, Frédéric Courbin, Michael Unser
Proximity Operators for Phase Retrieval
Ferréol Soulez, Ãric Thiébaut, Antony Schutz +3
The n-term Approximation of Periodic Generalized Lévy Processes
Julien Fageot, Michael Unser, John Paul Ward
Multidimensional Lévy White Noises in Weighted Besov Spaces
Julien Fageot, Alireza Fallah, Michael Unser
Beyond Wiener's Lemma: Nuclear Convolution Algebras and the Inversion of Digital Filters
Julien Fageot, Michael Unser, John Paul Ward
A representer theorem for deep neural networks
Michael Unser
Fast adaptive elliptical filtering using box splines
Kunal Narayan Chaudhury, Arrate Munoz Barrutia, Michael Unser
Sparse Stochastic Processes and Discretization of Linear Inverse Problems
Emrah Bostan, Ulugbek S. Kamilov, Masih Nilchian +1
Splines are Universal Solutions of Linear Inverse Problems with Generalized-TV regularization
Michael Unser, Julien Fageot, John Paul Ward
On The Continuous Steering of the Scale of Tight Wavelet Frames
Zsuzsanna Püspöki, John Paul Ward, Daniel Sage +1
Compactly-Supported Smooth Interpolators for Shape Modeling with Varying Resolution
Daniel Schmitter, Julien Fageot, Anaïs Badoual +2
A Review of Convolutional Neural Networks for Inverse Problems in Imaging
Michael T. McCann, Kyong Hwan Jin, Michael Unser
Imaging thick samples with optical tomography
Alexandre Goy, Morteza H. Shoreh, JooWon Lim +2
Harmonic Singular Integrals and Steerable Wavelets in $L_2(\mathbb{R}^d)$
John Paul Ward, Michael Unser
Fast O(1) bilateral filtering using trigonometric range kernels
Kunal Narayan Chaudhury, Daniel Sage, Michael Unser
Periodic Splines and Gaussian Processes for the Resolution of Linear Inverse Problems
Anaïs Badoual, Julien Fageot, Michael Unser
Bayesian Estimation for Continuous-Time Sparse Stochastic Processes
Arash Amini, Ulugbek S. Kamilov, Emrah Bostan +1
Optimality of Operator-Like Wavelets for Representing Sparse AR(1) Processes
Pedram Pad, Michael Unser