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17

Introduction to Nonlinear Spectral Analysis

10 June 2025 by Leon Bungert and Yury Korolev

Spectral Theory, Analysis of PDEs

Introduction to Nonlinear Spectral Analysis

10 June 2025 by Leon Bungert and Yury Korolev

Spectral Theory, Analysis of PDEs

Introduction to Nonlinear Spectral Analysis

10 June 2025 by Leon Bungert and Yury Korolev

Spectral Theory, Analysis of PDEs

Analysis of mean-field models arising from self-attention dynamics in transformer architectures with layer normalization

28 April 2025 by Martin Burger and others

Analysis of PDEs

Fast Inexact Bilevel Optimization for Analytical Deep Image Priors

11 March 2025 by Mohammad Sadegh Salehi and others

Optimization and Control, Numerical Analysis

A sparse optimization approach to infinite infimal convolution regularization

15 December 2024 by Kristian Bredies and others

Optimization and Control

A Lipschitz spaces view of infinitely wide shallow neural networks

18 October 2024 by Francesca Bartolucci and others

Functional Analysis, Machine Learning

Unsupervised Learning of the Total Variation Flow

22 April 2024 by Tamara Grossmann and others

Computer Vision and Pattern Recognition, Machine Learning

Inverse Problems with Learned Forward Operators

18 March 2024 by Simon Arridge and others at

University of Oulu

Numerical Analysis, Machine Learning

Eigenvalue Problems in \mathrm{L}^\infty: Optimality Conditions, Duality, and Relations with Optimal Transport

28 June 2022 by Leon Bungert and Yury Korolev

Analysis of PDEs, Optimization and Control

Two-layer neural networks with values in a Banach space

13 May 2022 by Yury Korolev

Machine Learning, Numerical Analysis

Gaussian random fields on non-separable Banach spaces

9 March 2022 by Yury Korolev and others

Probability, Functional Analysis

Image reconstruction in light-sheet microscopy: spatially varying deconvolution and mixed noise

8 August 2021 by Bogdan Toader and others

Numerical Analysis, Computer Vision and Pattern Recognition

Data driven reconstruction using frames and Riesz bases

9 March 2021 by Andrea Aspri and others

Numerical Analysis

Deeply Learned Spectral Total Variation Decomposition

21 October 2020 by Tamara Grossmann and others

Computer Vision and Pattern Recognition, Machine Learning

Variational regularisation for inverse problems with imperfect forward operators and general noise models

12 October 2020 by Leon Bungert and others

Numerical Analysis, Optimization and Control

Structural analysis of an L-infinity variational problem and relations to distance functions

13 July 2020 by Leon Bungert and others

Analysis of PDEs, Spectral Theory

Data driven regularization by projection

16 April 2020 by Andrea Aspri and others

Numerical Analysis

Total Variation Regularisation with Spatially Variable Lipschitz Constraints

5 December 2019 by Martin Burger and others

Numerical Analysis

A total variation based regularizer promoting piecewise-Lipschitz reconstructions

12 March 2019 by Martin Burger and others

Numerical Analysis, Computer Vision and Pattern Recognition

Convergence rates and structure of solutions of inverse problems with imperfect forward models

20 November 2018 by Martin Burger and others

Numerical Analysis

Image reconstruction with imperfect forward models and applications in deblurring

7 August 2017 by Yury Korolev and Jan Lellmann

Numerical Analysis, Computer Vision and Pattern Recognition

Diffusion tensor imaging with deterministic error bounds

26 January 2016 by Artur Gorokh and others

Computer Vision and Pattern Recognition, Numerical Analysis

Topics

Numerical Analysis Computer Vision and Pattern Recognition Machine Learning Optimization and Control Image and Video Processing Analysis of PDEs Spectral Theory Functional Analysis Probability