Michael Unser

Michael Unser

École Polytechnique Fédérale de Lausanne

H-index: 113

Europe-Switzerland

About Michael Unser

Michael Unser, With an exceptional h-index of 113 and a recent h-index of 62 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of image processing, wavelets, splines, biomedical imaging, inverse problems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Learning weakly convex regularizers for convergent image-reconstruction algorithms

CRR: Convex Ridge Regularizer

On the number of regions of piecewise linear neural networks

On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks

Learning a Convex Patch-Based Synthesis Model via Deep Equilibrium

Improving Lipschitz-constrained neural networks by learning activation functions

Sensitivity-Aware Density Estimation in Multiple Dimensions

Linear inverse problems with Hessian–Schatten total variation

Michael Unser Information

University

Position

Professor Biomedical Imaging Group (EPFL) Switzerland

Citations(all)

64869

Citations(since 2020)

19168

Cited By

54062

hIndex(all)

113

hIndex(since 2020)

62

i10Index(all)

496

i10Index(since 2020)

257

Email

University Profile Page

École Polytechnique Fédérale de Lausanne

Google Scholar

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Michael Unser Skills & Research Interests

image processing

wavelets

splines

biomedical imaging

inverse problems

Top articles of Michael Unser

Title

Journal

Author(s)

Publication Date

Learning weakly convex regularizers for convergent image-reconstruction algorithms

SIAM Journal on Imaging Sciences

Alexis Goujon

Sebastian Neumayer

Michael Unser

2024/3/31

CRR: Convex Ridge Regularizer

Astrophysics Source Code Library

Alexis Goujon

Sebastian Neumayer

Pakshal Bohra

Stanislas Ducotterd

Michael Unser

2024/1

On the number of regions of piecewise linear neural networks

Journal of Computational and Applied Mathematics

Alexis Goujon

Arian Etemadi

Michael Unser

2024/5/15

On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks

Journal of Machine Learning Research

Sebastian Neumayer

Lénaïc Chizat

Michael Unser

2024

Learning a Convex Patch-Based Synthesis Model via Deep Equilibrium

Stanislas Ducotterd

Sebastian Neumayer

Michael Unser

2024/4/14

Improving Lipschitz-constrained neural networks by learning activation functions

Journal of Machine Learning Research

Stanislas Ducotterd

Alexis Goujon

Pakshal Bohra

Dimitris Perdios

Sebastian Neumayer

...

2024

Sensitivity-Aware Density Estimation in Multiple Dimensions

IEEE Transactions on Pattern Analysis and Machine Intelligence

Aleix Boquet-Pujadas

Pol del Aguila Pla

Michael Unser

2024/4/12

Linear inverse problems with Hessian–Schatten total variation

Calculus of Variations and Partial Differential Equations

Luigi Ambrosio

Shayan Aziznejad

Camillo Brena

Michael Unser

2024/1

Complex-Order Scale-Invariant Operators and Self-Similar Processes

Applied and Computational Harmonic Analysis

Arash Amini

Julien Fageot

Michael Unser

2024/4/4

Self-Supervised Isotropic Superresolution Fetal Brain MRI

Kay Lächler

Hélène Lajous

Michael Unser

Meritxell Bach Cuadra

Pol Del Aguila Pla

2023/4/18

Data for:" A Neural-Network-Based Convex Regularizer for Inverse Problems"

Alexis Goujon

Sebastian Neumayer

Pakshal Bohra

Stanislas Ducotterd

Michaël Unser

2023

Modulation Spaces and the Curse of Dimensionality

Rahul Parhi

Michael Unser

2023/7/10

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods

IEEE Transactions on Signal Processing

Pakshal Bohra

Pol del Aguila Pla

Jean-François Giovannelli

Michael Unser

2023/6/1

Distributional Extension and Invertibility of the -Plane Transform and Its Dual

arXiv preprint arXiv:2310.01233

Rahul Parhi

Michael Unser

2023/10/2

Boosting Weakly Convex Ridge Regularizers with Spatial Adaptivity

Sebastian Neumayer

Mehrsa Pourya

Alexis Goujon

Michael Unser

2023/11/3

Ridges, neural networks, and the Radon transform

Journal of Machine Learning Research

Michael Unser

2023

Delaunay-triangulation-based learning with Hessian total-variation regularization

IEEE Open Journal of Signal Processing

Mehrsa Pourya

Alexis Goujon

Michael Unser

2023/2/28

A Mini-Batch Quasi-Newton Proximal Method for Constrained Total-Variation Nonlinear Image Reconstruction

arXiv preprint arXiv:2307.02043

Tao Hong

Thanh-an Pham

Irad Yavneh

Michael Unser

2023/7/5

The sparsity of cycle spinning for wavelet-based solutions of linear inverse problems

IEEE Signal Processing Letters

Rahul Parhi

Michael Unser

2023/5/12

Explicit representations for Banach subspaces of Lizorkin distributions

Analysis and Applications

Sebastian Neumayer

Michael Unser

2023/9/1

See List of Professors in Michael Unser University(École Polytechnique Fédérale de Lausanne)

Co-Authors

H-index: 103
Demetri Psaltis

Demetri Psaltis

École Polytechnique Fédérale de Lausanne

H-index: 63
Dimitri Van De Ville

Dimitri Van De Ville

École Polytechnique Fédérale de Lausanne

H-index: 51
Akram Aldroubi

Akram Aldroubi

Vanderbilt University

H-index: 40
Mathews Jacob

Mathews Jacob

University of Iowa

H-index: 32
Jan Kybic

Jan Kybic

Ceské vysoké ucení technické v Praze

H-index: 30
Ulugbek S. Kamilov

Ulugbek S. Kamilov

Washington University in St. Louis

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