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: Sunday, 03/Sept/2023 | |
| 6:00pm - 9:00pm |
Reg 1: Registration and Icebreaker Location: ZHG Foyer |
| Date: Monday, 04/Sept/2023 | ||||||||||||||||
| 8:00am - 9:00am |
Reg: Registration Location: ZHG Foyer |
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| 9:00am - 9:50am |
Opening: President of the University of Göttingen Prof. Metin Tolan Location: ZHG 011 Chair: Thorsten Hohage |
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| 9:50am - 10:40am |
Pl 1: Plenary lecture Location: ZHG 011 Chair: Simon Robert Arridge On the sample complexity of inverse problems |
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| 10:40am - 11:10am |
C1: Coffee Break Location: ZHG Foyer |
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| 11:10am - 12:00pm |
Pl 2: Plenary lecture Location: ZHG 011 Chair: Rainer Kress An unexpected role of transmission eigenvalues in imaging algorithms |
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| 12:00pm - 1:30pm |
LB1: Lunch Break Location: Mensa |
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| 1:30pm - 3:30pm |
MS03 1: Compressed Sensing meets Statistical Inverse Learning Location: VG2.103 Chair: Tatiana Alessandra Bubba Chair: Luca Ratti Chair: Matteo Santacesaria Compressed sensing for the sparse Radon transform Regularization for learning from unlabeled data using related labeled data Random tree Besov priors for detail detection |
MS12 1: Fast optimization-based methods for inverse problems Location: VG2.102 Chair: Tuomo Valkonen Parameter-Robust Preconditioning for Oseen Iteration Applied to Navier–Stokes Control Problems Sparse Bayesian Inference with Regularized Gaussian Distributions An Accelerated Level-Set Method for Inverse Scattering Problems A first-order optimization method with simultaneous adaptive pde constraint solver |
MS14 1: Inverse Modelling with Applications Location: VG1.104 Chair: Daniel Lesnic Chair: Karel Van Bockstal Scanning biological tissues using thermal-waves Identification of the time-dependent part of a heat source in thermoelasticity Uniqueness of determining a space-dependent source for inverse source problems in thermoelasticity |
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 |
MS18 1: Inverse problems for fractional and nonlocal equations Location: VG1.103 Chair: Yi-Hsuan Lin Chair: Jesse Railo Chair: Mikko Salo On the determination of a coefficient in a space-fractional equation with operators of Abel type Nonlocality Helps Fractional p-Calderón problems Uniqueness in an inverse problem for the anisotropic fractional conductivity equation |
MS25 1: Hyperparameter estimation in imaging inverse problems: recent advances on optimisation-based, learning and statistical approaches Location: VG0.111 Chair: Luca Calatroni Chair: Monica Pragliola Automatic Differentiation of Fixed-Point Algorithms for Structured Non-smooth Optimization Learning data-driven priors for image reconstruction: From bilevel optimisation to neural network-based unrolled schemes Learned proximal operators in accelerated unfolded methods with pseudodifferential operators Masked and Unmasked Principles for Automatic Parameter Selection in Variational Image Restoration for Poisson Noise Corruption |
MS29 1: Eigenvalues in inverse scattering Location: VG3.104 Chair: Martin Halla Chair: Peter Monk Interior transmission eigenvalue trajectories A new family of modified interior transmission eigenvalues for a fluid-solid interaction Computation of transmission eigenvalues in singular configurations using a corner perfectly matched layer |
MS34 1: Learned reconstructions for nonlinear inverse problems Location: VG3.103 Chair: Simon Robert Arridge Chair: Andreas Selmar Hauptmann Continuous generative models for nonlinear inverse problems Data-driven quantitative photoacoustic imaging Mapping properties of neural networks and inverse problems Data-driven regularization theory of invertible ResNets for solving inverse problems |
MS39: Statistical inverse problems: regularization, learning and guarantees Location: VG2.105 Chair: Kim Knudsen Chair: Abhishake Abhishake On the Regularized Functional Regression Inverse learning in Hilbert scales Stability and Generalization for Stochastic Gradient Methods Causality and Consistency in Bayesian Inference Paradigms |
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 |
MS44 1: Modelling in Earth and planetary sciences by data inversion at various scales Location: VG2.104 Chair: Christian Gerhards Chair: Volker Michel Chair: Frederik J Simons Inverse magnetization problems in geoscience at various scales Slepian concentration problem for polynomials on the Ball Regularized matching pursuits with a learning add-on for geoscientific inverse problems Non-unique Inversions in Earth Sciences - an Underestimated Pitfall? |
MS52 1: Integral geometry, rigidity and geometric inverse problems Location: VG1.105 Chair: Francois Sylvain Monard Chair: Plamen Stefanov Inverse problem for Yang-Mills-Higgs fields The Lorentzian scattering rigidity problem and rigidity of stationary metrics |
MS54 1: The x-ray transform and its generalizations: Theory, methods, and applications Location: VG1.101 Chair: Suman Kumar Sahoo Unique continuation for the momentum ray transform The linearized Calderon problem for polyharmonic operators The star transform and its links to various areas of mathematics Linearized Calderon problem for biharmonic operator with partial data |
MS55 1: Nonlinear Inverse Scattering and Related Topics Location: VG3.101 Chair: Yang Yang An Inverse Problem for Nonlinear Time-dependent Schrodinger Equations with Partial Data Supercomputing-based inverse modeling of high-resolution atmospheric contaminant source intensity distribution using remote sensing data Some progresses in Carleman estimates and their applications in inverse problems for stochastic partial differential equations Inverse scattering problems with incomplete data |
MS56 1: Inverse Problems of Transport Equations and Related Topics Location: VG2.106 Chair: Ru-Yu Lai Chair: Hanming Zhou Multiscale Parameter Identification: mesoscopic kernel reconstruction from macroscopic data A 1-Wasserstein framework for forward-peaked diffusive transport Recovery of coefficients in nonlinear transport equations Mapping properties and functional relations for the hyperbolic X-ray transform |
MS57 1: Inverse Problems in Time-Domain Imaging at the Small Scales Location: VG3.102 Chair: Eric Bonnetier Chair: Xinlin Cao Chair: Mourad Sini Inverse wave scattering in the time domain A new approach to an inverse source problem for the wave equation Simultaneous Reconstruction Of Optical And Acoustical Properties In PA-Imaging Using Plasmonics. Time domain analysis of body resonant-modes for classical waves |
| 3:30pm - 4:00pm |
C2: Coffee Break Location: ZHG Foyer |
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| 4:00pm - 6:00pm |
MS03 2: Compressed Sensing meets Statistical Inverse Learning Location: VG2.103 Chair: Tatiana Alessandra Bubba Chair: Luca Ratti Chair: Matteo Santacesaria SGD for statistical inverse problems Convex regularization in statistical inverse learning problems An off-the-grid approach to multi-compartment magnetic fingerprinting How many Neurons do we need? A refined Analysis. |
MS12 2: Fast optimization-based methods for inverse problems Location: VG2.102 Chair: Bjørn Christian Skov Jensen Limited memory restarted $\ell^p-\ell^q$ minimization methods using generalized Krylov subspaces A high order PDE-constrained optimization for the image denoising problem A primal dual projection algorithm for efficient constraint preconditioning An Inexact Trust-Region Algorithm for Nonsmooth Nonconvex Optimization |
MS14 2: Inverse Modelling with Applications Location: VG1.104 Chair: Daniel Lesnic Chair: Karel Van Bockstal Boundary identification in cantilever beam equation related to the atomic force microscopy Recent developments on integral equation approaches for Electrical Impedance Tomography Inverse problem of determining time-dependent diffusion coefficient in the time-fractional heat equation Determining an Iwatsuka Hamiltonian through quantum velocity measurement |
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 |
MS18 2: Inverse problems for fractional and nonlocal equations Location: VG1.103 Chair: Yi-Hsuan Lin Chair: Jesse Railo Chair: Mikko Salo The Calderón problem for directionally antilocal operators An Inverse Problem for Nonlinear Fractional Magnetic Schrodinger Equation Properties of solutions for anisotropic viscoelastic systems Fractional anisotropic Calderon problem on Riemannian manifolds |
MS25 2: Hyperparameter estimation in imaging inverse problems: recent advances on optimisation-based, learning and statistical approaches Location: VG0.110 Chair: Luca Calatroni Chair: Monica Pragliola Learning a sparsity-promoting regularizer for linear inverse problems Noise Estimation via Tractable Diffusion Speckle noise removal via learned variational models Bayesian sparse optimization for dictionary learning |
MS29 2: Eigenvalues in inverse scattering Location: VG3.104 Chair: Martin Halla Chair: Peter Monk A duality between scattering poles and transmission eigenvalues in scattering theory Prolate eigensystem and its application in Born inverse scattering Scattering from corners and other singularities The inverse spectral problem for a spherically symmetric refractive index using modified transmission eigenvalues |
MS34 2: Learned reconstructions for nonlinear inverse problems Location: VG3.103 Chair: Simon Robert Arridge Chair: Andreas Selmar Hauptmann Learned iterative model-based approaches in quantitative photoacoustic tomography Autocorrelation analysis for cryo-EM with sparsifying priors Model corrections in linear and nonlinear inverse problems |
MS35: Edge-preserving uncertainty quantification for imaging Location: VG2.105 Chair: Amal Mohammed A Alghamdi Chair: Jakob Sauer Jørgensen Efficient Bayesian computation for low-photon imaging problems Advancements of $\alpha$-stable priors for Bayesian inverse problems Edge preserving Random Tree Besov Priors CUQIpy - Computational Uncertainty Quantification for Inverse problems in Python |
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 |
MS44 2: Modelling in Earth and planetary sciences by data inversion at various scales Location: VG2.104 Chair: Christian Gerhards Chair: Volker Michel Chair: Frederik J Simons Efficient Parameter Estimation of Sampled Random Fields Co-estimation of core and lithospheric signals in satellite magnetic data Transdimensional joint inversion of gravity and surface wave phase velocities The inverse problem of micromagnetic tomography in rock- and paleomagnetism |
MS52 2: Integral geometry, rigidity and geometric inverse problems Location: VG1.105 Chair: Francois Sylvain Monard Chair: Plamen Stefanov Resonant forms at zero for dissipative Anosov flows Ray transform problems arising from seismology X-ray mapping properties and degenerately elliptic operators The range of the non-Abelian X-ray transform |
MS54 2: The x-ray transform and its generalizations: Theory, methods, and applications Location: VG1.101 Chair: Suman Kumar Sahoo Inversion of the momenta X-ray transform of symmetric tensor fields in the plane Simultaneous recovery of attenuation and source density in SPECT and multibang regularisation Inversion of a restricted transverse ray transform on symmetric $m$-tensor fields in $\mathbb{R}^3$ Inverse problems, unique continuation and the fractional Laplacian |
MS55 2: Nonlinear Inverse Scattering and Related Topics Location: VG3.101 Chair: Yang Yang Imaging with two-photon absorption optics Hopf lemma for fractional diffusion equations and application to inverse problem |
MS56 2: Inverse Problems of Transport Equations and Related Topics Location: VG2.106 Chair: Ru-Yu Lai Chair: Hanming Zhou Reconstruction of the doping profile in Vlasov-Poisson Quantitative reconstructions in inverse transport problems Imaging with two-photon absorption optics |
MS57 2: Inverse Problems in Time-Domain Imaging at the Small Scales Location: VG3.102 Chair: Eric Bonnetier Chair: Xinlin Cao Chair: Mourad Sini A mathematical theory of resolution limits for dynamic super-resolution in particle tracking problems Heat Generation Using Lorentzian Nanoparticles. The Full Maxwell System Lipschitz stability for some inverse problems for a hyperbolic PDE with space and time dependent coefficients Scattering of electromagnetic waves by small obstacles |
| Date: Tuesday, 05/Sept/2023 | ||||||||||||||||
| 9:00am - 10:00am |
CP: Calderón Prizes Location: ZHG 011 Chair: Barbara Kaltenbacher |
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| 10:00am - 10:50am |
Pl 3: Plenary lecture Location: ZHG 011 Chair: Bastian Harrach On the Fractional Calderon Problem |
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| 10:50am - 11:10am |
C3: Coffee Break Location: ZHG Foyer |
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| 11:10am - 12:00pm |
Pl 4: Plenary lecture Location: ZHG 011 Chair: Mikko Salo Microlocal applications to the study of marked length spectrum rigidity and lens rigidity in chaotic settings |
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| 12:00pm - 1:30pm |
LB2: Lunch Break Location: Mensa |
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| 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 |
MS04 1: Statistical and computational aspects of non-linear inverse problems Location: VG2.102 Chair: Richard Nickl Chair: Sven Wang Surface finite element approximation of Gaussian random fields on Riemannian manifolds Concentration analysis of multivariate elliptic diffusions A Bernstein-von-Mises theorem for the Calder\'{o}n problem with piecewise constant conductivities Bayesian estimation in a multidimensional diffusion model with high frequency data |
MS14 3: Inverse Modelling with Applications Location: VG1.104 Chair: Daniel Lesnic Chair: Karel Van Bockstal Inverse Problems for Generalized Subdiffusion Equations Numerical solution to inverse source problems for a parabolic equation with nonlocal conditions Advances in object characterisation for metal detection inverse problems |
MS18 3: Inverse problems for fractional and nonlocal equations Location: VG1.103 Chair: Yi-Hsuan Lin Chair: Jesse Railo Chair: Mikko Salo Inverse Problems for Subdiffusion from Observation at an Unknown Terminal Time UCP and counterexamples to UCP involving generalized ray transforms An inverse problem related to fractional wave equation |
MS19 1: Theory and algorithms of super-resolution in imaging and inverse problems Location: VG3.103 Chair: Habib Ammari Chair: Ping Liu Stability and super-resolution of MUSIC and ESPRIT for multi-snapshot spectral estimation A Mathematical Theory of Computational Resolution Limit and Super-resolution Total variation regularized problems: a support stability result Theoretical and numerical off-the-grid curve reconstruction |
MS21 1: Prior Information in Inverse Problems Location: VG2.103 Chair: Andreas Horst Chair: Jakob Lemvig Reconstructing spatio-temporal, sparse tomographic data using cylindrical shearlets Fractal priors for imaging using random wavelet trees Sampling from a posterior with Besov prior Regularizing Inverse Problems through Translation Invariant Diagonal Frame Decompositions |
MS22 1: 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 Gradient Methods for Blind Ptychography Inversion of the Modulo Radon Transform via Orthogonal Matching Pursuit Phaseless sampling of the short-time Fourier transform Phase Retrieval in Optical Diffraction Tomography |
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 |
MS29 3: Eigenvalues in inverse scattering Location: VG3.104 Chair: Martin Halla Chair: Peter Monk A new family of nearly singular interior transmission eigenvalues for inverse scattering Interior transmission problems related to imaging periodic layers Transparent scatterers and transmission eigenvalues of infinite multiplicity |
MS38 1: Inverse eigenvalue problems in astrophysics Location: VG2.105 Chair: Charlotte Gehan Chair: Damien Fournier No planet is an island: what we can learn from how Saturn interacts with its surroundings Inversion methods in asteroseismology Internal structure of giant planets from gravity data Accurate asteroseismic surface rotation rates for evolved red giants |
MS40: Dynamic Imaging Location: VG2.107 Chair: Peter Elbau Iterative and data-driven motion compensation in tomography Sparse optimization algorithms for dynamic imaging New approaches for reconstruction in dynamic nano-CT imaging Artifact reduction for time dependent image reconstruction in magnetic particle imaging |
MS47 1: Scattering and spectral imaging: inverse problems and algorithms Location: VG3.101 Chair: Eric Todd Quinto Chair: Gael Rigaud Microlocal properties and injectivity for Ellipsoidal and hyperbolic Radon transforms Motion detection in diffraction tomography Deep learning to tackle model inexactness and motion in Compton Scattering Tomography Diffusion based regularization for multi-energy CT with limited data |
MS49 1: Applied parameter identification in physics Location: VG3.102 Chair: Tram Nguyen Chair: Anne Wald Photoacoustic imaging in acoustic attenuating media Fully Stochastic Reconstruction Methods in Coupled Physics Imaging Some coefficient identification problems from boundary data satisfying range invariance for Newton type methods Traction force microscopy – a testbed for solving the inverse problem of elasticity |
MS52 3: Integral geometry, rigidity and geometric inverse problems Location: VG1.105 Chair: Francois Sylvain Monard Chair: Plamen Stefanov Marked length spectrum rigidity for Anosov surfaces Weakly nonlinear geometric optics for the Westervelt equation |
MS58 1: Shape Optimization and Inverse Problems Location: VG2.104 Chair: Lekbir Afraites Chair: Antoine Laurain Chair: Julius Fergy Tiongson Rabago Isogeometric Shape Optimization of Periodic Structures in Three Dimensions Stokes Traction Method: A Numerical Approach to Volume Constrained Shape Optimization Problems Non-conventional shape optimization methods for solving shape inverse problems |
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| 3:30pm - 4:00pm |
C4: Coffee Break Location: ZHG Foyer |
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| 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. |
MS04 2: Statistical and computational aspects of non-linear inverse problems Location: VG2.102 Chair: Richard Nickl Chair: Sven Wang Parameter estimation for boundary conditions in ice sheet models MCMC Methods for Low Frequency Diffusion Data Laplace priors and spatial inhomogeneity in Bayesian inverse problems Analysis of a localized non-linear ensemble Kalman-Bucy filter with sparse observations |
MS17: Machine Learning Techniques for Bayesian Inverse Problems Location: VG1.104 Chair: Angelina Senchukova Stochastic Normalizing Flows for Inverse Problems via Markov Chains Bayesian computation with Plug & Play priors for inverse problems in imaging Edge-preserving inversion with heavy-tailed Bayesian neural networks priors |
MS19 2: Theory and algorithms of super-resolution in imaging and inverse problems Location: VG3.103 Chair: Habib Ammari Chair: Ping Liu IFF: A Super-resolution Algorithm for Multiple Measurements Vectorized Hankel Lift: A Convex Approach for Blind Super-Resolution of Point Sources Super-resolved Lasso Approximate inverse scattering via convex programming |
MS21 2: Prior Information in Inverse Problems Location: VG2.103 Chair: Andreas Horst Chair: Jakob Lemvig Regularized, pretrained and subspace-restricted Deep Image Prior for CT reconstruction Monitoring of hemorrhagic stroke using Electrical Impedance Tomography Edge-preserving inversion with $\alpha$-stable priors Optimal learning of high-dimensional classification problems using deep neural networks |
MS22 2: 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 Uniqueness theory for 3D phase retrieval and unwrapping Interaction Models in Ptychography Tackling noise in multiple dimensions via hysteresis modulo sampling Multi-window STFT phase retrieval |
MS23 1: Recent developments in reconstruction methods for inverse scattering and electrical impedance tomography Location: VG1.103 Chair: Roland Griesmaier Chair: Nuutti Hyvönen Nonlinear impedance boundary conditions in inverse obstacle scattering Far field operator splitting and completion for inhomogeneous medium scattering Uniqueness, error bounds and global convergence for an inverse Robin transmission problem with a finite number of electrodes Subspace surrogate methods for Electrical Impedance Tomography |
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 |
MS38 2: Inverse eigenvalue problems in astrophysics Location: VG2.105 Chair: Charlotte Gehan Chair: Damien Fournier Mode identification in rapidly-rotating stars: paving the way to inverse methods Progress in Asteroseismology: Where We Stand and Where We'll Go Helioseismic inversions for active latitudes Probing solar turbulent viscosity with inertial modes |
MS42: Inverse Problems with Anisotropy Location: VG3.104 Chair: Kim Knudsen A density property for tensor products of gradients of harmonic functions Reconstructing anisotropic conductivities on manifolds Imaging anisotropic conductivities from current densities Stability and reconstruction for anisotropic inverse problems. |
MS45 1: Optimal Transport meets Inverse Problems Location: VG0.111 Chair: Marcello Carioni Chair: Jan-F. Pietschmann Chair: Matthias Schlottbom Efficient adversarial regularization for inverse problems Data Driven Gradient Flows The quadratic Wasserstein metric for inverse data matching Quadratic regularization of optimal transport problems |
MS47 2: Scattering and spectral imaging: inverse problems and algorithms Location: VG3.101 Chair: Eric Todd Quinto Chair: Gael Rigaud V-line tensor tomography Optimal parameter design for spectral CT Gamma ray imaging with bidirectional Compton cameras A hybrid algorithm for material decomposition in multi-energy CT |
MS49 2: Applied parameter identification in physics Location: VG3.102 Chair: Tram Nguyen Chair: Anne Wald A phase-field approach to shape optimization of acoustic waves in dissipative media Parameter identification in helioseismology Parameter identification in magnetization models for large ensembles of magnetic nanoparticles Lipschitz stable determination of polyhedral conductivity inclusions from local boundary measurements |
MS54 3: The x-ray transform and its generalizations: Theory, methods, and applications Location: VG1.105 Chair: Suman Kumar Sahoo The Calderón problem for space-time fractional parabolic operators with variable coefficients Rich tomography reconstruction problems in applications. Localized artifacts in medical imaging Explicit inversion of momentum ray transform |
MS57 3: Inverse Problems in Time-Domain Imaging at the Small Scales Location: VG2.107 Chair: Eric Bonnetier Chair: Xinlin Cao Chair: Mourad Sini The electromagnetic waves generated by a cluster of nanoparticles with high refractive indices and corresponding effective medium theory. Galerkin Foldy-Lax asymptotic models for time-domain scattering by small particles Electromagnetic waves generated by a moving dielectric under the special relativity assumptions |
MS58 2: Shape Optimization and Inverse Problems Location: VG2.104 Chair: Lekbir Afraites Chair: Antoine Laurain Chair: Julius Fergy Tiongson Rabago Minimization of blood damage induced by non-newtonian fluid flows in moving domains On the new coupled complex boundary method for shape inverse problem with the Robin homogeneous condition Shape optimization approach for sharp-interface reconstructions in time-domain full waveform inversion. |
| 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 |
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| 11:20am - 12:10pm |
Pl 5: Plenary lecture Location: ZHG 011 Chair: Gunther Uhlmann Geometric inverse problems in 2D: a transport twistor perspective |
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| 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 |
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| 3:00pm - 5:30pm |
Exc: Excursions Location: Forum des Wissens |
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| 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" |
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| 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 |
| Date: Friday, 08/Sept/2023 | ||||||||||||||
| 9:00am - 9:50am |
Pl 9: Plenary lecture Location: ZHG 011 Chair: Matti Lassas Inverse problems for wave equations |
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| 9:50am - 10:40am |
Pl 10: Plenary lecture Location: ZHG 011 Chair: William Rundell On inverse problems for piezoelectric equations |
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| 10:40am - 11:10am |
C8: Coffee Break Location: ZHG Foyer |
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| 11:10am - 12:00pm |
Pl 11: Plenary lecture Location: ZHG 011 Chair: Lauri Oksanen Reconstruction of spacetime structures in general relativity and Lorentzian geometry |
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| 12:00pm - 1:30pm |
LB4: Lunch Break Location: Mensa |
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| 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 |
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| 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 |
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