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 |
| Date: Friday, 08/Sept/2023 | ||||||||||||||
| 9:00am - 9:50am |
Pl 9: Plenary lecture Location: ZHG 011 Chair: Matti Lassas Inverse problems for wave equations |
|||||||||||||
| 9:50am - 10:40am |
Pl 10: Plenary lecture Location: ZHG 011 Chair: William Rundell On inverse problems for piezoelectric equations |
|||||||||||||
| 10:40am - 11:10am |
C8: Coffee Break Location: ZHG Foyer |
|||||||||||||
| 11:10am - 12:00pm |
Pl 11: Plenary lecture Location: ZHG 011 Chair: Lauri Oksanen Reconstruction of spacetime structures in general relativity and Lorentzian geometry |
|||||||||||||
| 12:00pm - 1:30pm |
LB4: Lunch Break Location: Mensa |
|||||||||||||
| 1:30pm - 3:30pm |
CT10: Contributed talks Location: VG3.102 Chair: Gerlind Plonka Exact Parameter Identification in PET Pharmacokinetic Modeling Using the Irreversible Two Tissue Compartment Model Regularized Maximum Likelihood Estimation for the Random Coefficients Model Adaptive estimation of $\alpha-$generalized random fields for statistical linear inverse problems with repeated measurements The Range of Projection Pair Operators |
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 |
CT12: Contributed talks Location: VG2.104 Chair: Frank Werner Designing an algorithm for low-dose Poisson phase retrieval ADMM methods for Phase Retrieval and Ptychography Phase retrieval in the wild: In situ optimized reconstruction for X-ray in-line holography |
MS06 4: Inverse Acoustic and Electromagnetic Scattering Theory - 30 years later Location: VG3.103 Chair: Fioralba Cakoni Chair: Houssem Haddar Nonlinear integral equations for 3D inverse acoustic and electromagnetic scattering Inverse scattering in a partially embedded waveguide Revisiting the Hybrid method for the inverse scattering transmission problem Single Mode Multi-frequency Factorization Method for the Inverse Source Problem in Acoustic Waveguides |
MS07 1: Regularization for Learning from Limited Data: From Theory to Medical Applications Location: VG1.101 Chair: Markus Holzleitner Chair: Sergei Pereverzyev Chair: Werner Zellinger Regularized Radon - Nikodym differentiation and some of its applications Explicit error rate results in the context of domain generalization Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation Convex regularization in statistical inverse learning problems |
MS08 1: Integral Operators in Potential Theory and Applications Location: VG2.102 Chair: Doosung Choi Chair: Mikyoung Lim Chair: Stephen Shipman On the identification of small anomaly via MUSIC algorithm without background information Construction of inclusions with vanishing generalized polarization tensors by imperfect interfaces Spectral theory of surface plasmons in the nonlocal hydrodynamic Drude model Numerical computation of Laplacian eigenvalues based on the layer potential formulation |
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 |
MS10 3: Optimization in Inverse Scattering: from Acoustics to X-rays Location: VG1.103 Chair: Radu Ioan Bot Chair: Russell Luke Automated tight Lyapunov analysis for first-order methods Learned SVD for limited data inversion in PAT and X-ray CT Multiscale hierarchical decomposition methods for ill-posed problems Scalable moment relaxations for graph-structured problems with values in a manifold: An optimal transport approach |
MS13 1: Stochastic iterative methods for inverse problems Location: VG0.111 Chair: Tim Jahn Beating the Saturation of the Stochastic Gradient Descent for Linear Inverse Problems Early stopping of untrained convolutional networks Stochastic mirror descent method for linear ill-posed problems in Banach spaces Early stopping for spectral filter estimators regularized by projection |
MS31 1: Inverse Problems in Elastic Media Location: VG3.104 Chair: Andrea Aspri Chair: Ekaterina Sherina Hybrid Inverse Problems for Nonlinear Elasticity Quantitative reconstruction of viscoelastic media with attenuation model uncertainty. An Intensity-based Inversion Method for Quasi-Static Optical Coherence Elastography On the identification of cavities and inclusions in linear elasticity with a phase-field approach |
MS41 1: Geomathematics Location: VG3.101 Chair: Joonas Ilmavirta Geodesic X-ray tomography on manifolds of low regularity Invariance of the elastic wave equation in the context of Finsler geometry Geometrization of inverse problems in seismology Reconstruction of anisotropic stiffness tensors using algebraic geometry |
MS46 2: Inverse problems for nonlinear equations Location: VG1.104 Chair: Lauri Oksanen Chair: Teemu Kristian Tyni Inverse source problems for nonlinear equations Inverse problem for the minimal surface equation and nonlinear CGO calculus in dimension 2 Inverse scattering problems for semi-linear wave equations on manifolds Determining a Lorentzian metric from the source-to-solution map for the relativistic Boltzmann equation Determining Lorentzian manifold from non-linear wave observation at a single point |
MS50 1: Mathematics and Magnetic Resonance Imaging Location: VG1.105 Chair: Kristian Bredies Chair: Christian Clason Chair: Martin Uecker Deep learning MR image reconstruction and task-based evaluation Learning Fourier sampling schemes for MRI by density optimization Acceleration strategies for Magnetic Resonance Spin Tomography in Time-Domain (MR‐STAT) reconstructions Learning Spatio-Temporal Regularization Parameter-Maps for Total Variation-Minimization Reconstruction in Dynamic Cardiac MRI |
MS59 1: Advanced Reconstruction and Phase Retrieval in Nano X-ray Tomography Location: VG2.103 Chair: Tim Salditt Chair: Anne Wald Resolution of reconstruction from discrete Radon transform data Deep Learning for Reconstruction in Nano CT Learned post-processing approaches for nano-CT reconstruction X-ray phase and dark-field retrieval from propagation-based images, via the Fokker-Planck Equation |
| 3:30pm - 4:00pm |
C9: Coffee Break Location: ZHG Foyer |
|||||||||||||
| 4:00pm - 6:00pm |
CT13: Contributed talks Location: VG2.105 Chair: Martin Halla Joint Born Inversion of Acoustic and Electromagnetic Wave fields Imaging of Gravity Dam-Foundation contact by a shape optimization method using non-destructive seismic waves Structure inversions for sound speed differences in solar-like stars Detection of geophysical structures using optical flow methodologies for potential data |
CT14: Contributed talks Location: VG2.106 Chair: Housen Li On accuracy and existence of approximate decoders for ill-posed inverse problems Inverse problems and deep learning in epidemiology and social processes Approximation with neural networks in Sobolev setting |
MS07 2: Regularization for Learning from Limited Data: From Theory to Medical Applications Location: VG1.101 Chair: Markus Holzleitner Chair: Sergei Pereverzyev Chair: Werner Zellinger Imbalanced data sets in a magnetic resonance imaging case study of preterm neonates: a strategy for identifying informative variables On Approximation for Multi-Source Domain Adaptation in the Space of Copulas Learning segmentation on unlabeled MRI data using labeled CT data Parameter choice in distance-regularized domain adaptation |
MS08 2: Integral Operators in Potential Theory and Applications Location: VG2.102 Chair: Doosung Choi Chair: Mikyoung Lim Chair: Stephen Shipman Recovering an elastic inclusion using the shape derivative of the elastic moment tensors Some aspects of the spectrum of the Neumann-Poincaré operator Spectrum of the Neumann-Poincaré operator on thin domains |
MS10 4: Optimization in Inverse Scattering: from Acoustics to X-rays Location: VG1.103 Chair: Radu Ioan Bot Chair: Russell Luke Phase retrieval from overexposed PSFs: theory and practice Tensor-free algorithms for lifted quadratic and bilinear inverse problems Implicit regularization via re-parametrization |
MS13 2: Stochastic iterative methods for inverse problems Location: VG0.111 Chair: Tim Jahn From inexact optimization to learning via gradient concentration Principal component analysis in infinite dimensions Learning Linear Operators SGD for select inverse problems in Banach spaces |
MS31 2: Inverse Problems in Elastic Media Location: VG3.104 Chair: Andrea Aspri Chair: Ekaterina Sherina An inverse problem for the porous medium equation Comparison of variational formulations for the direct solution of an inverse problem in linear elasticity |
MS41 2: Geomathematics Location: VG3.101 Chair: Joonas Ilmavirta Inverse scattering: Regularized Lanczos method for the Lippmann-Schwinger equation Travel Time Tomography in Transversely Isotropic Elasticity via Microlocal Analysis An inverse source problem for the elasto-gravitational equations |
MS46 3: Inverse problems for nonlinear equations Location: VG1.104 Chair: Lauri Oksanen Chair: Teemu Kristian Tyni |
MS50 2: Mathematics and Magnetic Resonance Imaging Location: VG1.105 Chair: Kristian Bredies Chair: Christian Clason Chair: Martin Uecker MRI Pulse Design via discrete-valued optimal control Null Space Networks for undersampled Fourier data Deep Learning Approaches for Non-Linear Inverse Problems in MRI Reconstruction Mathematical Methods in Parallel MRI |
MS59 2: Advanced Reconstruction and Phase Retrieval in Nano X-ray Tomography Location: VG2.103 Chair: Tim Salditt Chair: Anne Wald Multi-stage Deep Learning Artifact Reduction for Computed Tomography Deep learning for phase retrieval from Fresnel diffraction patterns Time resolved and multi-resolution tomographic reconstruction strategies in practice. Tomographic Reconstruction in X-ray Near-field Diffractive Imaging: from Laboratory $\mu$CT to Synchrotron Nano-Imaging |
|||
Contact and Legal Notice · Contact Address:  Privacy Statement · Conference: AIP 2023 |
Conference Software: ConfTool Pro 2.8.101+TC © 2001–2024 by Dr. H. Weinreich, Hamburg, Germany |
