On the Regularized Functional Regression

Sergei Pereverzyev

Inverse learning in Hilbert scales

Abhishake Abhishake

Stability and Generalization for Stochastic Gradient Methods

Yiming Ying

Causality and Consistency in Bayesian Inference Paradigms

Klaus Mosegaard

Efficient Bayesian computation for low-photon imaging problems

Savvas Melidonis, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Konstantinos C. Zygalakis

Advancements of $\alpha$-stable priors for Bayesian inverse problems

Neil Chada, Lassi Roininen, Tomas Soto, Jarkko Suuronen

Edge preserving Random Tree Besov Priors

Hanne Kekkonen, Matti Lassas, Eero Saksman, Samuli Siltanen

CUQIpy - Computational Uncertainty Quantification for Inverse problems in Python

Jakob Sauer Jørgensen, Amal Alghamdi, Nicolai Riis

No planet is an island: what we can learn from how Saturn interacts with its surroundings

Janosz Walker Dewberry

Inversion methods in asteroseismology

Daniel Roy Reese

Internal structure of giant planets from gravity data

Florian Debras, Gilles Chabrier

Accurate asteroseismic surface rotation rates for evolved red giants

Felix Ahlborn, Earl P. Bellinger, Saskia Hekker, Sarbani Basu, Daria Mokrytska

Mode identification in rapidly-rotating stars: paving the way to inverse methods

Giovanni M Mirouh

Progress in Asteroseismology: Where We Stand and Where We'll Go

Earl Bellinger

Helioseismic inversions for active latitudes

Samarth Ganesh Kashyap, Laurent Gizon

Probing solar turbulent viscosity with inertial modes

Jordan Philidet, Laurent Gizon

Lipschitz Stability of Recovering the Conductivity from Internal Current Densities

Lingyun Qiu, Siqin Zheng

Geometric regularization in three-dimensional inverse obstacle scattering

Jannik Rönsch, Henrik Schumacher, Max Wardetzky, Thorsten Hohage

Phase retrieval and phaseless inverse scattering with background information

Thorsten Hohage, Roman Novikov, Vladimir Sivkin

Convergence analysis of optimization-by-continuation algorithms

Ignace Loris

Quaternary image decomposition with cross-correlation-based multi-parameter selection

Laura Girometti, Martin Huska, Alessandro Lanza, Serena Morigi

Heuristic parameter choice from local minimum points of the quasioptimality function for the class of regularization methods

Uno Hämarik, Toomas Raus

Choice of the regularization parameter in case of over- or underestimated noise level of data

Toomas Raus

Multi-Penalty TV Regularisation for Image Denoising: A Study

Kemal Raik

On Adaptive confidence Ellipsoids for sparse high dimensional linear models

Xiaoyang Xie

Sparsity-promoting hierarchical Bayesian inverse problems and uncertainty quantification

Jan Glaubitz

Recursive Update of Linearization Model Error for Conductivity Reconstruction from ICDI

Puyuan Mi, Yiqiu Dong, Bangti Jin

Fractional graph Laplacian for image reconstruction

Stefano Aleotti, Alessandro Buccini, Marco Donatelli

Joint Born Inversion of Acoustic and Electromagnetic Wave fields

Anne V. de Wit, Tristan van Leeuwen, Felix Lucka, Dirk J. Verschuur, Koen W.A. van Dongen

Imaging of Gravity Dam-Foundation contact by a shape optimization method using non-destructive seismic waves

Mohamed Aziz Boukraa, Lorenzo Audibert, Marcella Bonazzoli, Houssem Haddar, Denis Vautrin

Structure inversions for sound speed differences in solar-like stars

Lynn Buchele, Earl Bellinger, Sarbani Basu, Saskia Hekker

Detection of geophysical structures using optical flow methodologies for potential data

Jose Antonio Ramoz León, Emilia Fregoso Becerra, Abel Palafox González