Passive Gamma Emission Tomography (PGET) of spent nuclear fuel

Riina Virta, Tatiana A. Bubba, Mikael Moring, Samuli Siltanen, Tapani Honkamaa, Peter Dendooven

Bayesian modelling and inference for radiation source localisation

Cécilia Tarpau, Ming Fang, Yoann Altmann, Angela Di Fulvio, Marcelo Pereyra, Konstantinos Zygalakis

Image reconstruction for Passive Gamma Emission Tomography of spent nuclear fuel

Peter Dendooven, Riina Virta, Tatiana A. Bubba, Mikael Moring, Samuli Siltanen, Tapani Honkamaa

Exact inversion of an integral transform arising in passive detection of gamma-ray sources with a Compton camera

Fatma Terzioglu

Gamma spectrum analysis in nuclear decommissioning

Michelle Bruch, Lorenz Kuger, Martin Burger

Practical gamma ray imaging with monolithic scintillation detector Compton cameras

Lorenz Kuger, Martin Burger

Machine Learning Techniques applied to Compton Cameras

Sibylle Petrak, Karsten Hölzer

A lifted Bregman formulation for the inversion of deep neural networks

Xiaoyu Wang, Martin Benning

A Bregman-Kaczmarz method for nonlinear systems of equations

Maximilian Winkler

Regularization in non-Euclidean spaces meets numerical linear algebra

Claudio Estatico, Brigida Bonino, Luca Calatroni, Fabio Di Benedetto, Marta Lazzaretti, Flavia Lenti

Gradient descent-based algorithms for inverse problems in variable exponent Lebesgue spaces

Marta Lazzaretti, Zeljko Kereta, Luca Calatroni, Claudio Estatico

Multiscale hierarchical decomposition methods for images corrupted by multiplicative noise

Joel Barnett, Wen Li, Elena Resmerita, Luminita Vese

Proximal point algorithm in spaces with semidefinite inner product

Emanuele Naldi, Enis Chenchene, Dirk A. Lorenz, Jannis Marquardt

Asymptotic linear convergence of fully-corrective generalized conditional gradient methods

Kristian Bredies, Marcello Carioni, Silvio Fanzon, Daniel Walter

Efficient high-dimensional Bayesian multi-fidelity inverse analysis for expensive legacy solvers

Jonas Nitzler, Wolfgang A. Wall, Phaedon-Stelios Koutsourelakis

Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks

Julianne Chung, Matthias Chung, Babak Afkham

Coupled Parameter and Data Dimension Reduction for Bayesian Inference

Qiao Chen, Elise Arnaud, Ricardo Baptista, Olivier Zahm

Certified Coordinate Selection for large-dimensional Bayesian Inversion

Rafael Flock, Yiqiu Dong, Olivier Zahm, Felipe Uribe

Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems

Derick Nganyu Tanyu, Jianfeng Ning, Tom Freudenberg, Nick Heilenkötter, Andreas Rademacher, Uwe Iben, Peter Maass

Fourier method for inverse source problem using correlation of passive measurements

Kristoffer Linder-Steinlein, Mirza Karamehmedović, Faouzi Triki

Feynman's inverse problem - an inverse problem for water waves

Adrian Kirkeby, Mirza Karamehmedović

Inference in Stochastic Differential Equations using the Laplace Appromixation

Uffe Høgsbro Thygesen

Spectral properties of radiation for the Helmholtz equation with a random coefficient

Mirza Karamehmedovic, Kristoffer Linder-Steinlein

Optimization under uncertainty for the Helmholtz equation with application to photonic nanojets configuration

Amal Alghamdi, Peng Chen, Mirza Karamehmedovic

Posterior consistency for Bayesian inverse Problems with piecewise constant inclusions

Babak Maboudi Afkham., Kim Knudsen, Aksel Rasmussen, Tanja Tarvainen

On uncertainty quantification for nonlinear inverse problems

Kui Ren

Extension and convergence of sixth order Jarratt-type method

Suma Panathale Bheemaiah

Optimal design for aeroacoustics with correlation data

Christian Aarset, Thorsten Hohage

Source separation for Electron Paramagnetic Resonance Imaging

Mehdi Boussâa, Rémy Abergel, Sylvain Durand, Yves Frapart