On the determination of a coefficient in a space-fractional equation with operators of Abel type

Barbara Kaltenbacher, William Rundell

Nonlocality Helps

Gunther Uhlmann

Fractional p-Calderón problems

Philipp Zimmermann

Uniqueness in an inverse problem for the anisotropic fractional conductivity equation

Giovanni Covi

The Calderón problem for directionally antilocal operators

María Ángeles García-Ferrero

An Inverse Problem for Nonlinear Fractional Magnetic Schrodinger Equation

Ru-Yu Lai

Properties of solutions for anisotropic viscoelastic systems

Maarten de Hoop, Masato Kimura, Ching-Lung Lin, Gen Nakamura

Fractional anisotropic Calderon problem on Riemannian manifolds

Katya Krupchyk

Inverse Problems for Subdiffusion from Observation at an Unknown Terminal Time

Bangti Jin

UCP and counterexamples to UCP involving generalized ray transforms

Venky Krishnan

An inverse problem related to fractional wave equation

Pu-Zhao Kow

Nonlinear impedance boundary conditions in inverse obstacle scattering

Leonie Fink

Far field operator splitting and completion for inhomogeneous medium scattering

Lisa Schätzle

Uniqueness, error bounds and global convergence for an inverse Robin transmission problem with a finite number of electrodes

Andrej Brojatsch

Subspace surrogate methods for Electrical Impedance Tomography

Antti Oskari Autio, Antti Hannukainen

Inverse medium scattering for a nonlinear Helmholtz equation

Roland Griesmaier

Linearised inverse conductivity problem: reconstruction and Lipschitz stability for infinite-dimensional spaces of perturbations

Henrik Garde, Nuutti Hyvönen

Optimizing electrode positions in electrical impedance tomography for head imaging

Ruma Rani Maity, Nuutti Hyvönen, Antti Hannukainen, Anton Vavilov

Immersed boundary method for electrical impedance tomography in the frame of electrocardiography

Jérémi Dardé, Niami Nasr, Lisl Weynans

Numerical Linear Algebra Networks for Solving Linear Inverse Problems

Otmar Scherzer

Regularization by Randomization: The Case of Partially Separable Optimization

Russell Luke

Fast convex optimization via closed-loop time scaling of gradient dynamics

Hedy Attouch, Radu Ioan Bot, Dang-Khoa Nguyen

Fast Optimistic Gradient Descent Ascent method in continuous and discrete time

Radu Ioan Bot, Ernö Robert Csetnek, Dang-Khoa Nguyen

PAC-Bayesian Learning of Optimization Algorithms

Peter Ochs

Accelerated Griffin-Lim algorithm: A fast and provably convergent numerical method for phase retrieval

Rossen Nenov, Dang-Khoa Nguyen, Radu Ioan Bot, Peter Balazs

Audio Inpainting

Peter Balazs, Georg Tauböck, Shristi Rajbamshi, Nicki Holighaus

Damage detection by guided ultrasonic waves and uncertainty quantification

Dirk Lorenz, Nanda Kishore Bellam Muralidhar, Carmen Gräßle, Natalie Rauter, Andrey Mikhaylenko, Rolf Lammering

Automated tight Lyapunov analysis for first-order methods

Manu Upadhyaya, Sebastian Banert, Adrien Taylor, Pontus Giselsson

Learned SVD for limited data inversion in PAT and X-ray CT

Markus Haltmeier, Johannes Schwab, Stephan Antholzer

Multiscale hierarchical decomposition methods for ill-posed problems

Tobias Wolf, Elena Resmerita, Stefan Kindermann

Scalable moment relaxations for graph-structured problems with values in a manifold: An optimal transport approach

Robin Kenis, Emanuel Laude, Panagiotis Patrinos

Phase retrieval from overexposed PSFs: theory and practice

Oleg Alexandrovich Soloviev

Tensor-free algorithms for lifted quadratic and bilinear inverse problems

Robert Beinert, Kristian Bredies

Implicit regularization via re-parametrization

Cesare Molinari