11th Applied Inverse Problems Conference
September 4 - 8, 2023 | Göttingen, Germany
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview | |
Location: VG1.108 |
Date: Monday, 04/Sept/2023 | |
1:30pm - 3:30pm |
MS43 1: Inverse Problems in radiation protection and nuclear safety Location: VG1.108 Chair: Lorenz Kuger Chair: Samuli Siltanen Passive Gamma Emission Tomography (PGET) of spent nuclear fuel Bayesian modelling and inference for radiation source localisation Image reconstruction for Passive Gamma Emission Tomography of spent nuclear fuel Exact inversion of an integral transform arising in passive detection of gamma-ray sources with a Compton camera |
4:00pm - 6:00pm |
MS43 2: Inverse Problems in radiation protection and nuclear safety Location: VG1.108 Chair: Lorenz Kuger Chair: Samuli Siltanen Gamma spectrum analysis in nuclear decommissioning Practical gamma ray imaging with monolithic scintillation detector Compton cameras Machine Learning Techniques applied to Compton Cameras |
Date: Tuesday, 05/Sept/2023 | |
1:30pm - 3:30pm |
MS28 1: Modelling and optimisation in non-Euclidean settings for inverse problems Location: VG1.108 Chair: Luca Calatroni Chair: Claudio Estatico Chair: Dirk Lorenz A lifted Bregman formulation for the inversion of deep neural networks A Bregman-Kaczmarz method for nonlinear systems of equations Regularization in non-Euclidean spaces meets numerical linear algebra |
4:00pm - 6:00pm |
MS28 2: Modelling and optimisation in non-Euclidean settings for inverse problems Location: VG1.108 Chair: Luca Calatroni Chair: Claudio Estatico Chair: Dirk Lorenz Gradient descent-based algorithms for inverse problems in variable exponent Lebesgue spaces Multiscale hierarchical decomposition methods for images corrupted by multiplicative noise Proximal point algorithm in spaces with semidefinite inner product Asymptotic linear convergence of fully-corrective generalized conditional gradient methods |
Date: Wednesday, 06/Sept/2023 | |
9:00am - 11:00am |
MS11: Defying the Curse of Dimensionality – Theory and Algorithms for Large Dimensional Bayesian Inversion Location: VG1.108 Chair: Rafael Flock Chair: Yiqiu Dong Efficient high-dimensional Bayesian multi-fidelity inverse analysis for expensive legacy solvers Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks Coupled Parameter and Data Dimension Reduction for Bayesian Inference Certified Coordinate Selection for large-dimensional Bayesian Inversion |
Date: Thursday, 07/Sept/2023 | |
1:30pm - 3:30pm |
MS51 1: Analysis, numerical computation, and uncertainty quantification for stochastic PDE-based inverse problems Location: VG1.108 Chair: Mirza Karamehmedovic Chair: Faouzi Triki Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems Fourier method for inverse source problem using correlation of passive measurements Feynman's inverse problem - an inverse problem for water waves Inference in Stochastic Differential Equations using the Laplace Appromixation |
4:00pm - 6:00pm |
MS51 2: Analysis, numerical computation, and uncertainty quantification for stochastic PDE-based inverse problems Location: VG1.108 Chair: Mirza Karamehmedovic Chair: Faouzi Triki Spectral properties of radiation for the Helmholtz equation with a random coefficient Optimization under uncertainty for the Helmholtz equation with application to photonic nanojets configuration Posterior consistency for Bayesian inverse Problems with piecewise constant inclusions On uncertainty quantification for nonlinear inverse problems |
Date: Friday, 08/Sept/2023 | |
1:30pm - 3:30pm |
CT11: Contributed talks Location: VG1.108 Chair: Housen Li Extension and convergence of sixth order Jarratt-type method Optimal design for aeroacoustics with correlation data Source separation for Electron Paramagnetic Resonance Imaging |
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