Unique continuation for the momentum ray transform

Joonas Ilmavirta, Pu-Zhao Kow, Suman Kumar Sahoo

The linearized Calderon problem for polyharmonic operators

Suman Kumar Sahoo, Mikko Salo

The star transform and its links to various areas of mathematics

Gaik Ambartsoumian, Mohammad Javad Latifi

Linearized Calderon problem for biharmonic operator with partial data

Divyansh Agrawal, Ravi Shankar Jaiswal, Suman Kumar Sahoo

Inversion of the momenta X-ray transform of symmetric tensor fields in the plane

Kamran Sadiq

Simultaneous recovery of attenuation and source density in SPECT and multibang regularisation

Sean Holman

Inversion of a restricted transverse ray transform on symmetric $m$-tensor fields in $\mathbb{R}^3$

Rohit Kumar Mishra, Chandni Thakkar

Inverse problems, unique continuation and the fractional Laplacian

Jesse Railo

Gradient Methods for Blind Ptychography

Oleh Melnyk

Inversion of the Modulo Radon Transform via Orthogonal Matching Pursuit

Matthias Beckmann

Phaseless sampling of the short-time Fourier transform

Lukas Liehr

Phase Retrieval in Optical Diffraction Tomography

Robert Beinert, Michael Quellmalz

Uniqueness theory for 3D phase retrieval and unwrapping

Albert Fannjiang

Interaction Models in Ptychography

Benedikt Diederichs

Tackling noise in multiple dimensions via hysteresis modulo sampling

Dorian Florescu, Ayush Bhandari

Multi-window STFT phase retrieval

Martin Rathmair

Phase retrieval from time-frequency structured data

Rima Alaifari

Computational Imaging from Structured Noise

Ayush Bhandari

Phase retrieval framework for direct reconstruction of the projected refractive index applied to ptychography and holography

Johannes Hagemann, Felix Wittwer, Christian G. Schroer

Zero-optics X-ray dark-field imaging using dual energies

Jannis N. Ahlers, Konstantin M. Pavlov, Marcus J. Kitchen, Kaye S. Morgan

The Power of Patches for Training Normalizing Flows

Fabian Altekrüger, Alexander Denker, Paul Hagemann, Johannes Hertrich, Peter Maass, Gabriele Steidl

Trust your source: quantifying source condition elements for variational regularisation methods

Martin Benning, Tatiana Bubba, Luca Ratti, Danilo Riccio

Plug-and-Play image reconstruction is a convergent regularization method

Andrea Ebner, Markus Haltmeier

Provably Convergent Plug-and-Play Quasi-Newton Methods

Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb

Learning Sparsifying Regularisers

Sebastian Neumayer

Shared Prior Learning of Energy-Based Models for Image Reconstruction

Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland

Gradient Step and Proximal denoisers for convergent plug-and-play image restoration.

Samuel Hurault, Arthur Leclaire, Nicolas Papadakis

Regularized Radon - Nikodym differentiation and some of its applications

Duc Hoan Nguyen, Sergei Pereverzyev, Werner Zellinger

Explicit error rate results in the context of domain generalization

Markus Holzleitner

Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation

Marius-Constantin Dinu

Convex regularization in statistical inverse learning problems

Luca Ratti, Tatiana A. Bubba, Martin Burger, Tapio Helin

Imbalanced data sets in a magnetic resonance imaging case study of preterm neonates: a strategy for identifying informative variables

Sergiy Pereverzyev Jr.

On Approximation for Multi-Source Domain Adaptation in the Space of Copulas

Priyanka Roy, Bernhard Moser, Werner Zellinger, Susanne Saminger-Platz

Learning segmentation on unlabeled MRI data using labeled CT data

Leon Frischauf

Parameter choice in distance-regularized domain adaptation

Werner Zellinger, Sergei V. Pereverzyev