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 |
| Date: Thursday, 07/Sept/2023 | ||||||||||||||||
| 9:00am - 9:50am |
Pl 6: Plenary lecture Location: ZHG 011 Chair: Fioralba Cakoni Correlation-based imaging and inverse problems in helioseismology |
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| 9:50am - 10:40am |
Pl 7: Plenary lecture Location: ZHG 011 Chair: Elena Beretta Always-Scattering, Non-Scattering, and Inverse Scattering |
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| 10:40am - 11:10am |
C6: Coffee Break Location: ZHG Foyer |
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| 11:10am - 12:00pm |
Pl 8: Plenary lecture Location: ZHG 011 Chair: Axel Munk High-dimensional non-linear Bayesian inverse problems |
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| 12:00pm - 1:30pm |
LB3: Lunch Break Location: Mensa |
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| 1:30pm - 3:30pm |
CT04: Contributed talks Location: VG2.104 Chair: Christian Aarset Weighted sparsity regularization for estimating the source term in the potential equation Lipschitz stability for inverse source problems of waves on Lorentzian manifolds Logarithmic stability and instability estimates for random inverse source problems Combined EEG/MEG source analysis for reconstructing the epileptogenic zone in focal epilepsy |
CT05: Contributed talks Location: VG2.105 Chair: Tram Nguyen Quaternary image decomposition with cross-correlation-based multi-parameter selection Heuristic parameter choice from local minimum points of the quasioptimality function for the class of regularization methods Choice of the regularization parameter in case of over- or underestimated noise level of data Multi-Penalty TV Regularisation for Image Denoising: A Study |
CT06: Contributed talks Location: VG2.107 Chair: Milad Karimi $L^1$-data fitting for Inverse Problems with subexponentially-tailed data Globally Convergent Convexification Method for Coefficient Inverse Problems for Three Equations On modeling and regularization of piezoelectric inverse problems using all-at-once and reduced approaches Solution of the fractional order differential equation for Laplace transform of a boundary functional of a semi-Markov process using inverse Laplace transform |
MS05 2: Numerical meet statistical methods in inverse problems Location: VG2.102 Chair: Martin Hanke Chair: Markus Reiß Chair: Frank Werner Utilising Monte Carlo method for light transport in the inverse problem of quantitative photoacoustic tomography Discretisation-adaptive regularisation via frame decompositions Operator Learning Meets Inverse Problems UNLIMITED: The UNiversal Lepskii-Inspired MInimax Tuning mEthoD |
MS06 2: Inverse Acoustic and Electromagnetic Scattering Theory - 30 years later Location: VG3.103 Chair: Fioralba Cakoni Chair: Houssem Haddar Nonlinearity parameter imaging in the frequency domain The Lippmann-Schwinger Lanczos algorithm for inverse scattering. Analysis of topological derivative for qualitative defect imaging using elastic waves |
MS10 1: Optimization in Inverse Scattering: from Acoustics to X-rays Location: VG1.103 Chair: Radu Ioan Bot Chair: Russell Luke Numerical Linear Algebra Networks for Solving Linear Inverse Problems Regularization by Randomization: The Case of Partially Separable Optimization Fast convex optimization via closed-loop time scaling of gradient dynamics Fast Optimistic Gradient Descent Ascent method in continuous and discrete time |
MS16 1: Wave propagation and quantitative tomography Location: VG0.111 Chair: Leonidas Mindrinos Chair: Leopold Veselka Phase-contrast THz-CT for non-destructive testing Diffraction tomography for a generalized incident beam wave Bias-free localizations in cryo-single molecule localization microscopy Uncertainty-aware blob detection in astronomical imaging |
MS20 1: Recent advances in inverse problems for elliptic and hyperbolic equations Location: VG3.104 Chair: Ru-Yu Lai Determining a nonlinear hyperbolic system with unknown sources and nonlinearity Uniqueness in an inverse problem of fractional elasticity Calderon problem for elliptic systems via complex ray transform Asymptotics Applied to Small Volume Inverse Shape Problems |
MS24 1: Learned Regularization for Solving Inverse Problems Location: VG1.101 Chair: Johannes Hertrich Chair: Sebastian Neumayer The Power of Patches for Training Normalizing Flows Trust your source: quantifying source condition elements for variational regularisation methods Plug-and-Play image reconstruction is a convergent regularization method Provably Convergent Plug-and-Play Quasi-Newton Methods |
MS26 2: Trends and open problems in cryo electron microscopy Location: VG3.102 Chair: Carlos Esteve-Yague Chair: Johannes Schwab High Dimensional Covariance Estimation in Cryo-EM Bayesian random tomography Advancements and New Questions in Analysing the Geometry of Molecular Conformations in Cryo-EM Optimal transport: a promising tool for cryo-electron microscopy |
MS30 2: Inverse Problems on Graphs and Machine Learning Location: VG2.103 Chair: Emilia Lavie Kyllikki Blåsten Chair: Matti Lassas Chair: Jinpeng Lu Deep Invertible Approximation of Topologically Rich Maps between Manifolds Some inverse problems on graphs with internal functionals Imaging water supply pipes using pressure waves Recontructing Interactions from Dynamics |
MS32 2: Parameter identification in time dependent partial differential equations Location: VG1.104 Chair: Barbara Kaltenbacher Chair: William Rundell On the identification of cavities in a nonlinear diffusion-reaction model arising from cardiac electrophysiology Identification of the electric potential of the time-fractional Schrödinger équation by boundary measurement The Recovery of Coefficients in Wave Equations from Time-trace Data |
MS33 2: Quantifying uncertainty for learned Bayesian models Location: VG1.105 Chair: Marta Malgorzata Betcke Chair: Martin Holler Calibration-Based Probabilistic Error Bounds for Inverse Problems in Imaging Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging How to sample from a posterior like you sample from a prior Uncertainty Quantification for Computed Tomography via the Linearised Deep Image Prior |
MS36 1: Advances in limited-data X-ray tomography Location: VG3.101 Chair: Jakob Sauer Jørgensen Chair: Samuli Siltanen Learned proximal operators meets unrolling: a deeply learned regularisation for limited angle tomography A new variational appraoch for limited data reconstructions in x-ray tomography Material Decomposition Techniques for Spectral Computed Tomography Bayesian approach to limited-data CT reconstruction for inspection of subsea pipes |
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. |
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 |
| 3:30pm - 4:00pm |
C7: Coffee Break Location: ZHG Foyer |
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| 4:00pm - 6:00pm |
CT07: Contributed talks Location: VG1.105 Chair: Christian Aarset Accelerating MCMC for imaging science by using an implicit Langevin algorithm Quasi-Monte Carlo methods for Bayesian optimal experimental design problems governed by PDEs Maximum marginal likelihood estimation of regularisation parameters in Plug & Play Bayesian estimation: Application to non-blind and semi-blind image deconvolution Choosing observations to mitigate model error in Bayesian inverse problems |
CT08: Contributed talks Location: VG2.105 Chair: Stephan F Huckemann On Adaptive confidence Ellipsoids for sparse high dimensional linear models Sparsity-promoting hierarchical Bayesian inverse problems and uncertainty quantification Recursive Update of Linearization Model Error for Conductivity Reconstruction from ICDI Fractional graph Laplacian for image reconstruction |
CT09: Contributed talks Location: VG2.107 Chair: Tram Nguyen Diffraction Tomography: Elastic parameters reconstructions Photoacoustic and Ultrasonic Tomography for Breast Imaging One-step estimation of spectral optical parameters in quantitative photoacoustic tomography Stable reconstruction of anisotropic conductivity in magneto-acoustic tomography with magnetic induction |
MS05 3: Numerical meet statistical methods in inverse problems Location: VG2.102 Chair: Martin Hanke Chair: Markus Reiß Chair: Frank Werner Bayesian hypothesis testing in statistical inverse problems Predictive risk regularization for Gaussian and Poisson inverse problems Reconstruction of active forces in actomyosin droplets Learning Linear Operators |
MS06 3: Inverse Acoustic and Electromagnetic Scattering Theory - 30 years later Location: VG3.103 Chair: Fioralba Cakoni Chair: Houssem Haddar The direct and inverse scattering problem of obliquely incident electromagnetic waves by an inhomogeneous infinitely long cylinder Transmission Eigenvalues for a Conductive Boundary Generalized Sampling method |
MS10 2: Optimization in Inverse Scattering: from Acoustics to X-rays Location: VG1.103 Chair: Radu Ioan Bot Chair: Russell Luke PAC-Bayesian Learning of Optimization Algorithms Accelerated Griffin-Lim algorithm: A fast and provably convergent numerical method for phase retrieval Audio Inpainting Damage detection by guided ultrasonic waves and uncertainty quantification |
MS16 2: Wave propagation and quantitative tomography Location: VG0.111 Chair: Leonidas Mindrinos Chair: Leopold Veselka Source Reconstruction from Partial Boundary Data in Radiative Transport Solving Cauchy problems using semi-discretization techniques and BIE Quantitative Parameter Reconstruction from Optical Coherence Tomographic Data Augmented total variation regularization in imaging inverse problems |
MS20 2: Recent advances in inverse problems for elliptic and hyperbolic equations Location: VG3.104 Chair: Ru-Yu Lai Fixed angle inverse scattering for velocity Inverse Problems for Some Nonlinear Schrodinger Equations |
MS24 2: Learned Regularization for Solving Inverse Problems Location: VG1.101 Chair: Johannes Hertrich Chair: Sebastian Neumayer Learning Sparsifying Regularisers Shared Prior Learning of Energy-Based Models for Image Reconstruction Gradient Step and Proximal denoisers for convergent plug-and-play image restoration. |
MS26 3: Trends and open problems in cryo electron microscopy Location: VG3.102 Chair: Carlos Esteve-Yague Chair: Johannes Schwab Stochastic optimization for high-resolution refinement in cryo-EM Fast Principal Component Analysis for Cryo-EM Images Reconstructing Molecular Flexibility in Cryogenic Electron Microscopy |
MS30 3: Inverse Problems on Graphs and Machine Learning Location: VG2.103 Chair: Emilia Lavie Kyllikki Blåsten Chair: Matti Lassas Chair: Jinpeng Lu Learned Solvers for Forward and Backward Image Flow Schemes |
MS36 2: Advances in limited-data X-ray tomography Location: VG3.101 Chair: Jakob Sauer Jørgensen Chair: Samuli Siltanen Approaches to the Helsinki Tomography Challenge 2022 Directional regularization with the Core Imaging Library for limited-angle CT in the Helsinki Tomography Challenge 2022 VAEs with structured image covariance as priors to inverse imaging problems Limited-Angle Tomography Reconstruction via Deep Learning on Synthetic Data |
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 |
MS46 1: Inverse problems for nonlinear equations Location: VG1.104 Chair: Lauri Oksanen Chair: Teemu Kristian Tyni Weakly nonlinear geometric optics and inverse problems for hyperbolic nonlinear PDEs Identification of nonlinear effects in X-ray tomography Inverse problems for non-linear hyperbolic equations and many-to-one scattering relations Inverse problems for nonlinear elliptic PDE |
MS48: Robustness and reliability of Deep Learning for noisy medical imaging Location: VG2.104 Chair: Alessandro Benfenati Chair: Elena Morotti The graphLa+ method: a dynamic regularization based on the graph Laplacian Investigating the human body by light: the challenge of problem inversion Investigating the Human Body by Light: Neural Networks for Data-Driven and Physics-Driven Approches Medical image reconstruction in realistic scenarios: what to do if the ground-truth is missing? |
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 |
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