Automatic Differentiation of Fixed-Point Algorithms for Structured Non-smooth Optimization

Peter Ochs

Learning data-driven priors for image reconstruction: From bilevel optimisation to neural network-based unrolled schemes

Kostas Papafitsoros, Andreas Kofler, Fabian Altekrüger, Fatima Antarou Ba, Christoph Kolbitsch, Evangelos Papoutsellis, David Schote, Clemens Sirotenko, Felix Zimmermann

Learned proximal operators in accelerated unfolded methods with pseudodifferential operators

Andrea Sebastiani, Tatiana Alessandra Bubba, Luca Ratti, Subhadip Mukherjee

Masked and Unmasked Principles for Automatic Parameter Selection in Variational Image Restoration for Poisson Noise Corruption

Francesca Bevilacqua, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari

Efficient adversarial regularization for inverse problems

Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb

Data Driven Gradient Flows

Jan-F. Pietschmann, Matthias Schlottbom

The quadratic Wasserstein metric for inverse data matching

Björn Engquist, Kui Ren, Yunan Yang

Quadratic regularization of optimal transport problems

Dirk Lorenz, Hinrich Mahler, Paul Manns, Christian Meyer

Inverse problems in imaging and information fusion via structured multimarginal optimal transport

Johan Karlsson, Yongxin Chen, Filip Elvander, Isabel Haasler, Axel Ringh

Wasserstein PDE G-CNN

Olga Mula, Daan Bon

An Optimal Transport-based approach to Total-Variation regularization for the Diffusion MRI problem

Rodolfo Assereto, Kristian Bredies, Marion I. Menzel, Emanuele Naldi, Claudio Verdun

A game-based approach to learn interaction rules for systems of rational agents

Mauro Bonafini, Massimo Fornasier, Bernhard Schmitzer

Phase-contrast THz-CT for non-destructive testing

Simon Hubmer, Ronny Ramlau

Diffraction tomography for a generalized incident beam wave

Noemi Naujoks

Bias-free localizations in cryo-single molecule localization microscopy

Fabian Hinterer

Uncertainty-aware blob detection in astronomical imaging

Fabian Parzer, Prashin Jethwa, Alina Boecker, Mayte Alfaro-Cuello, Otmar Scherzer, Glenn van de Ven

Source Reconstruction from Partial Boundary Data in Radiative Transport

Kamran Sadiq

Solving Cauchy problems using semi-discretization techniques and BIE

Leonidas Mindrinos

Quantitative Parameter Reconstruction from Optical Coherence Tomographic Data

Leopold Veselka, Wofgang Drexler, Peter Elbau, Lisa Krainz

Augmented total variation regularization in imaging inverse problems

Nicholas E. Protonotarios, Carola-Bibiane Schönlieb, Nikolaos Dikaios, Antonios Charalambopoulos

Beating the Saturation of the Stochastic Gradient Descent for Linear Inverse Problems

Bangti Jin, Zehui Zhou, Jun Zou

Early stopping of untrained convolutional networks

Tim Jahn, Bangti Jin

Stochastic mirror descent method for linear ill-posed problems in Banach spaces

Qinian Jin

Early stopping for spectral filter estimators regularized by projection

Alain Celisse, Samy Clementz

From inexact optimization to learning via gradient concentration

Bernhard Stankewitz, Nicole Mücke, Lorenzo Rosasco

Principal component analysis in infinite dimensions

Martin Wahl

Learning Linear Operators

Nicole Mücke

SGD for select inverse problems in Banach spaces

Zeljko Kereta, Bangti Jin