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: Wednesday, 06/Sept/2023 | |||||||||||||||||
| 9:00am - 11:00am |
CT01: Contributed talks Location: VG2.104 Chair: Philipp Ronald Mickan Some Inverse Problems for Parabolic Equations Inverse problems for hyperbolic conservation laws X-ray holographic imaging using intensity correlations |
CT02: Contributed talks Location: VG2.105 Chair: Roman Novikov Lipschitz Stability of Recovering the Conductivity from Internal Current Densities Geometric regularization in three-dimensional inverse obstacle scattering Phase retrieval and phaseless inverse scattering with background information Convergence analysis of optimization-by-continuation algorithms |
CT03: Contributed talks Location: VG2.107 Chair: Martin Halla The Foldy-Lax approximation of scattered field by many small inclusions near the resonating frequencies for Lam\`e system Microlocal Analysis of Multistatic Synthetic Aperture Radar Imaging An inverse problem for the Riemannian minimal surface equation |
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 |
MS05 1: Numerical meet statistical methods in inverse problems Location: VG2.102 Chair: Martin Hanke Chair: Markus Reiß Chair: Frank Werner Aggregation by the Linear Functional Strategy in Regularized Domain Adaptation The Henderson problem and the relative entropy functional Early stopping for $L^{2}$-boosting in high-dimensional linear models Early stopping for conjugate gradients in statistical inverse problems |
MS06 1: Inverse Acoustic and Electromagnetic Scattering Theory - 30 years later Location: VG0.110 Chair: Fioralba Cakoni Chair: Houssem Haddar Celebrating Colton and Kress Contributions Passive inverse obstacle scattering problems Target Signatures for Thin Surfaces Learning Dynamical Models and Model Components from Observations |
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 |
MS19 3: Theory and algorithms of super-resolution in imaging and inverse problems Location: VG3.103 Chair: Habib Ammari Chair: Ping Liu On Beurling-Selberg Approximations and the Stability of Super-Resolution A Parameter Identification Algorithm for Gaussian Mixture Models Super-localisation of a point-like emitter in a resonant environment : correction of the mirage effect Optimal super-resolution of close point sources and stability of Prony's method |
MS22 3: Imaging with Non-Linear Measurements: Tomography and Reconstruction from Phaseless or Folded Data Location: VG1.101 Chair: Matthias Beckmann Chair: Robert Beinert Chair: Michael Quellmalz Phase retrieval from time-frequency structured data Computational Imaging from Structured Noise Phase retrieval framework for direct reconstruction of the projected refractive index applied to ptychography and holography Zero-optics X-ray dark-field imaging using dual energies |
MS23 2: Recent developments in reconstruction methods for inverse scattering and electrical impedance tomography Location: VG1.103 Chair: Roland Griesmaier Chair: Nuutti Hyvönen Inverse medium scattering for a nonlinear Helmholtz equation Linearised inverse conductivity problem: reconstruction and Lipschitz stability for infinite-dimensional spaces of perturbations Optimizing electrode positions in electrical impedance tomography for head imaging Immersed boundary method for electrical impedance tomography in the frame of electrocardiography |
MS26 1: Trends and open problems in cryo electron microscopy Location: VG3.102 Chair: Carlos Esteve-Yague Chair: Johannes Schwab Joint Cryo-ET Alignment and Reconstruction with Neural Deformation Fields Manifold-based Point Cloud Deformations: Theory and Applications to Protein Conformation Processing Spectral decomposition of atomic structures in heterogeneous cryo-EM |
MS30 1: Inverse Problems on Graphs and Machine Learning Location: VG2.103 Chair: Emilia Lavie Kyllikki Blåsten Chair: Matti Lassas Chair: Jinpeng Lu Continuum limit for lattice Hamiltonians Quantum computing algorithms for inverse problems on graphs Inverse problems for the graph Laplacian Inverse problems on manifolds via graph-based semi-supervised learning |
MS32 1: Parameter identification in time dependent partial differential equations Location: VG1.104 Chair: Barbara Kaltenbacher Chair: William Rundell Spacetime finite element methods for inverse and control problems subject to the wave equation Mathematical challenges in Full Waveform inversion Optimality of pulse energy for photoacoustic tomography Bi-level iterative regularization for inverse problems in nonlinear PDEs |
MS33 1: Quantifying uncertainty for learned Bayesian models Location: VG1.105 Chair: Marta Malgorzata Betcke Chair: Martin Holler Equivariant Neural Networks for Indirect Measurements Bayesian MRI reconstruction with joint uncertainty estimation using diffusion priors Utilizing variational autoencoders in the Bayesian inverse problem of photoacoustic tomography Scalable Bayesian uncertainty quantification with learned convex regularisers |
MS45 2: Optimal Transport meets Inverse Problems Location: VG0.111 Chair: Marcello Carioni Chair: Jan-F. Pietschmann Chair: Matthias Schlottbom Inverse problems in imaging and information fusion via structured multimarginal optimal transport Wasserstein PDE G-CNN An Optimal Transport-based approach to Total-Variation regularization for the Diffusion MRI problem A game-based approach to learn interaction rules for systems of rational agents |
MS47 3: Scattering and spectral imaging: inverse problems and algorithms Location: VG3.101 Chair: Eric Todd Quinto Chair: Gael Rigaud Analytic and Deep learning-based Inversions in Circular Compton Scattering Tomography On a cylindrical scanning modality in three-dimensional Compton scatter tomography |
MS53: Uniqueness and stability in inverse problems for partial differential equations Location: VG3.104 Chair: Sonia Foschiatti Chair: Elisa Francini Chair: Eva Sincich Stability for the inverse problem of the determination on an inclusion in a Schrödinger type equation using Cauchy data. Refined instability estimates for two inverse problems Stability estimates for the inverse fractional conductivity problem Uniqueness and stability for anisotropic inverse problems. |
| 11:00am - 11:20am |
C5: Coffee Break Location: ZHG Foyer |
||||||||||||||||
| 11:20am - 12:10pm |
Pl 5: Plenary lecture Location: ZHG 011 Chair: Gunther Uhlmann Geometric inverse problems in 2D: a transport twistor perspective |
||||||||||||||||
| 12:15pm - 1:30pm |
P: Poster Session Location: ZHG Foyer Adaptive Method for Bayesian EEG/MEG Source Localization to Support Treatment of Focal Epilepsy Edge-Preserving Tomographic Reconstruction with Uncertain View Angles EIT reconstruction using virtual X-rays and machine learning Frequentist Ensemble Kalman Filter Investigation of the effects of Cowling approximation on adiabatic wave propagation in helioseismology Dual-grid parameter choice method for total variation regularised image deblurring Geodesic slice sampling on the sphere Gibbsian Polar Slice Sampling Hybrid knowledge and data-driven approaches for DOT reconstruction in medical imaging Inverse Level-Set Problems for Capturing Calving Fronts Microlocal analysis of inverse scattering problems Microlocal Analysis of Multistatic Synthetic Aperture Radar Imaging Revealing Functional Substructure of Retinal Ganglion Cell Receptive Fields Using Tomography-Based Stimulation Non-stationary hyperspectral unmixing with learnt regularization Reduced Order Methods for Linear Gaussian Bayesian Inverse Problems on separable Hilbert Spaces GAN-based motion correction in MRI Dynamic Computerized Tomography using Inexact Models and Data-driven Motion Detection Phase retrieval beyond the homogeneous object approximation in X-ray holographic imaging Reconstruction of active forces generated by actomyosin networks Reconstruction of the potential in a hyperbolic equation in dimension 3 Compensating motion and model inexactness in nano-CT Combining Non-Data-Adaptive Transforms For OCT Image Denoising By Iterative Basis Pursuit Iterated Arnoldi-Tikhonov method Measurement and analysis strategies for EUV pump-probe spectroscopic imaging |
||||||||||||||||
| 3:00pm - 5:30pm |
Exc: Excursions Location: Forum des Wissens |
||||||||||||||||
| 6:00pm - 10:00pm |
CD: Evening Talk with Dinner Location: Alte Mensa Chair: Thorsten Hohage Shaken, not Stirred! – James Bond in the Spotlight of Physics" |
||||||||||||||||
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 |
