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).
|
Session Overview | |
Location: VG1.102 |
Date: Monday, 04/Sept/2023 | |
1:30pm - 3:30pm |
MS15 1: Experimental and Algorithmic Progress in Photoemission Orbital Imaging Location: VG1.102 Chair: Russell Luke Chair: Stefan Mathias Imaging valence and excited states of fullerenes in momentum space Imaging molecular wave functions with photoemission orbital tomography: An introduction Time-resolved photoemission orbital tomography of organic interfaces Exciton Photoemission Orbital Tomography: Probing the electron and the hole contributions |
4:00pm - 6:00pm |
MS15 2: Experimental and Algorithmic Progress in Photoemission Orbital Imaging Location: VG1.102 Chair: Russell Luke Chair: Stefan Mathias A minimalist approach to 3D photoemission orbital tomography: how many measurements are enough? Experimental progress towards time-resolved three-dimensional orbital tomography Element-Selective Structural Information by Hard X-ray Photoelectron Diffraction Imaging molecular wave functions with photoemission orbital tomography: Recent developments |
Date: Tuesday, 05/Sept/2023 | |
1:30pm - 3:30pm |
MS02 1: Advances in regularization for some classes of nonlinear inverse problems Location: VG1.102 Chair: Bernd Hofmann Chair: Robert Plato Deautoconvolution in the two-dimensional case Efficient minimization of variational functionals via semismooth* Newton methods Convergence Nestorov acceleration for linear ill-posed problems Analysis of the discrepancy principle for Tikhonov regularization under low order source conditions |
4:00pm - 6:00pm |
MS02 2: Advances in regularization for some classes of nonlinear inverse problems Location: VG1.102 Chair: Bernd Hofmann Chair: Robert Plato New results for variational regularization with oversmoothing penalty term in Banach spaces Iterative regularization methods for non-linear ill-posed operator equations in Banach spaces An Abstract Framework for Stochastic Elliptic Inverse Problems. |
Date: Wednesday, 06/Sept/2023 | |
9:00am - 11:00am |
MS01: Machine Learning for Inverse Problems in Medical Imaging Location: VG1.102 Chair: Christian Fiedler Chair: Jens Flemming Chances and limitations of machine learning approaches to inverse problems From Manual to Automatic: Streamlining MRI Marker Detection and Localization for Surgical Planning Approaches on Feature and Model Selection for high-dimensional data in Medical Research and Analysis Deceptive performance of artificial neural networks in semantic segmentation tasks on the example of lung delineation |
Date: Thursday, 07/Sept/2023 | |
1:30pm - 3:30pm |
MS37 1: Passive imaging in terrestrial and extra-terrestrial seismology Location: VG1.102 Chair: Florian Faucher Chair: Damien Fournier Source-free seismic imaging with reciprocity-gap misfit criterion. Improving our Understanding of Jupiter’s and Saturn’s Interior Structure Full-Waveform Inversion and Reverse-Time Migration in Earthquake and Exploration Seismology Passive seismic body waves imaging for the deep Earth. |
4:00pm - 6:00pm |
MS37 2: Passive imaging in terrestrial and extra-terrestrial seismology Location: VG1.102 Chair: Florian Faucher Chair: Damien Fournier Reduced order model approach for active and passive imaging with waves Three-dimensional random wave coupling along a boundary with scaling representative of Mars' crust, and an associated inverse problem Frequency-Difference Backprojection of Earthquakes Quantitative passive imaging in helioseismology |
Date: Friday, 08/Sept/2023 | |
1:30pm - 3:30pm |
MS09: Forward and inverse domain uncertainty quantification Location: VG1.102 Chair: Vesa Kaarnioja Chair: Claudia Schillings Isogeometric multilevel quadrature for forward and inverse random acoustic scattering Evolving surfaces driven by stochastic PDEs Multilevel domain UQ in computational electromagnetics Advantages of locality in random field representations for shape uncertainty quantification |