11^{th} 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: 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 

9:00am  9:50am 
Opening: President of the University of Göttingen Prof. Metin Tolan Location: ZHG 011 Chair: Thorsten Hohage 

9:50am  10:40am 
Pl 1: Plenary lecture Location: ZHG 011 Chair: Simon Robert Arridge On the sample complexity of inverse problems 

10:40am  11:10am 
C1: Coffee Break Location: ZHG Foyer 

11:10am  12:00pm 
Pl 2: Plenary lecture Location: ZHG 011 Chair: Rainer Kress An unexpected role of transmission eigenvalues in imaging algorithms 

12:00pm  1:30pm 
LB1: Lunch Break Location: Mensa 

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 optimizationbased methods for inverse problems Location: VG2.102 Chair: Tuomo Valkonen ParameterRobust Preconditioning for Oseen Iteration Applied to Navier–Stokes Control Problems Sparse Bayesian Inference with Regularized Gaussian Distributions An Accelerated LevelSet Method for Inverse Scattering Problems A firstorder 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 thermalwaves Identification of the timedependent part of a heat source in thermoelasticity Uniqueness of determining a spacedependent 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 Timeresolved 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: YiHsuan Lin Chair: Jesse Railo Chair: Mikko Salo On the determination of a coefficient in a spacefractional equation with operators of Abel type Nonlocality Helps Fractional pCalderón problems Uniqueness in an inverse problem for the anisotropic fractional conductivity equation 
MS25 1: Hyperparameter estimation in imaging inverse problems: recent advances on optimisationbased, learning and statistical approaches Location: VG0.111 Chair: Luca Calatroni Chair: Monica Pragliola Automatic Differentiation of FixedPoint Algorithms for Structured Nonsmooth Optimization Learning datadriven priors for image reconstruction: From bilevel optimisation to neural networkbased 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 fluidsolid 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 Datadriven quantitative photoacoustic imaging Mapping properties of neural networks and inverse problems Datadriven 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 gammaray 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 addon for geoscientific inverse problems Nonunique 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 YangMillsHiggs fields The Lorentzian scattering rigidity problem and rigidity of stationary metrics 
MS54 1: The xray 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 Timedependent Schrodinger Equations with Partial Data Supercomputingbased inverse modeling of highresolution 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: RuYu Lai Chair: Hanming Zhou Multiscale Parameter Identification: mesoscopic kernel reconstruction from macroscopic data A 1Wasserstein framework for forwardpeaked diffusive transport Recovery of coefficients in nonlinear transport equations Mapping properties and functional relations for the hyperbolic Xray transform 
MS57 1: Inverse Problems in TimeDomain 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 PAImaging Using Plasmonics. Time domain analysis of body resonantmodes for classical waves 
3:30pm  4:00pm 
C2: Coffee Break Location: ZHG Foyer 

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 offthegrid approach to multicompartment magnetic fingerprinting How many Neurons do we need? A refined Analysis. 
MS12 2: Fast optimizationbased 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 PDEconstrained optimization for the image denoising problem A primal dual projection algorithm for efficient constraint preconditioning An Inexact TrustRegion 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 timedependent diffusion coefficient in the timefractional 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 timeresolved threedimensional orbital tomography ElementSelective Structural Information by Hard Xray 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: YiHsuan 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 optimisationbased, learning and statistical approaches Location: VG0.110 Chair: Luca Calatroni Chair: Monica Pragliola Learning a sparsitypromoting 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 modelbased approaches in quantitative photoacoustic tomography Autocorrelation analysis for cryoEM with sparsifying priors Model corrections in linear and nonlinear inverse problems 
MS35: Edgepreserving uncertainty quantification for imaging Location: VG2.105 Chair: Amal Mohammed A Alghamdi Chair: Jakob Sauer Jørgensen Efficient Bayesian computation for lowphoton 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 Coestimation 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 Xray mapping properties and degenerately elliptic operators The range of the nonAbelian Xray transform 
MS54 2: The xray transform and its generalizations: Theory, methods, and applications Location: VG1.101 Chair: Suman Kumar Sahoo Inversion of the momenta Xray 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 twophoton 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: RuYu Lai Chair: Hanming Zhou Reconstruction of the doping profile in VlasovPoisson Quantitative reconstructions in inverse transport problems Imaging with twophoton absorption optics 
MS57 2: Inverse Problems in TimeDomain 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 superresolution 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 

10:00am  10:50am 
Pl 3: Plenary lecture Location: ZHG 011 Chair: Bastian Harrach On the Fractional Calderon Problem 

10:50am  11:10am 
C3: Coffee Break Location: ZHG Foyer 

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 

12:00pm  1:30pm 
LB2: Lunch Break Location: Mensa 

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 twodimensional case Efficient minimization of variational functionals via semismooth* Newton methods Convergence Nestorov acceleration for linear illposed problems Analysis of the discrepancy principle for Tikhonov regularization under low order source conditions 
MS04 1: Statistical and computational aspects of nonlinear 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 BernsteinvonMises 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: YiHsuan 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 superresolution in imaging and inverse problems Location: VG3.103 Chair: Habib Ammari Chair: Ping Liu Stability and superresolution of MUSIC and ESPRIT for multisnapshot spectral estimation A Mathematical Theory of Computational Resolution Limit and Superresolution Total variation regularized problems: a support stability result Theoretical and numerical offthegrid curve reconstruction 
MS21 1: Prior Information in Inverse Problems Location: VG2.103 Chair: Andreas Horst Chair: Jakob Lemvig Reconstructing spatiotemporal, 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 NonLinear 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 shorttime Fourier transform Phase Retrieval in Optical Diffraction Tomography 
MS28 1: Modelling and optimisation in nonEuclidean 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 BregmanKaczmarz method for nonlinear systems of equations Regularization in nonEuclidean 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 datadriven motion compensation in tomography Sparse optimization algorithms for dynamic imaging New approaches for reconstruction in dynamic nanoCT 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 multienergy 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 Nonconventional shape optimization methods for solving shape inverse problems 

3:30pm  4:00pm 
C4: Coffee Break Location: ZHG Foyer 

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 nonlinear illposed operator equations in Banach spaces An Abstract Framework for Stochastic Elliptic Inverse Problems. 
MS04 2: Statistical and computational aspects of nonlinear 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 nonlinear ensemble KalmanBucy 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 Edgepreserving inversion with heavytailed Bayesian neural networks priors 
MS19 2: Theory and algorithms of superresolution in imaging and inverse problems Location: VG3.103 Chair: Habib Ammari Chair: Ping Liu IFF: A Superresolution Algorithm for Multiple Measurements Vectorized Hankel Lift: A Convex Approach for Blind SuperResolution of Point Sources Superresolved 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 subspacerestricted Deep Image Prior for CT reconstruction Monitoring of hemorrhagic stroke using Electrical Impedance Tomography Edgepreserving inversion with $\alpha$stable priors Optimal learning of highdimensional classification problems using deep neural networks 
MS22 2: Imaging with NonLinear 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 Multiwindow 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 nonEuclidean settings for inverse problems Location: VG1.108 Chair: Luca Calatroni Chair: Claudio Estatico Chair: Dirk Lorenz Gradient descentbased 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 fullycorrective generalized conditional gradient methods 
MS38 2: Inverse eigenvalue problems in astrophysics Location: VG2.105 Chair: Charlotte Gehan Chair: Damien Fournier Mode identification in rapidlyrotating 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: JanF. 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 Vline tensor tomography Optimal parameter design for spectral CT Gamma ray imaging with bidirectional Compton cameras A hybrid algorithm for material decomposition in multienergy CT 
MS49 2: Applied parameter identification in physics Location: VG3.102 Chair: Tram Nguyen Chair: Anne Wald A phasefield 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 xray transform and its generalizations: Theory, methods, and applications Location: VG1.105 Chair: Suman Kumar Sahoo The Calderón problem for spacetime 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 TimeDomain 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 FoldyLax asymptotic models for timedomain 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 nonnewtonian 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 sharpinterface reconstructions in timedomain 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 Xray 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 threedimensional inverse obstacle scattering Phase retrieval and phaseless inverse scattering with background information Convergence analysis of optimizationbycontinuation algorithms 
CT03: Contributed talks Location: VG2.107 Chair: Martin Halla The FoldyLax 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 highdimensional 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 highdimensional 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 highdimensional Bayesian multifidelity inverse analysis for expensive legacy solvers Goaloriented Uncertainty Quantification for Inverse Problems via Variational EncoderDecoder Networks Coupled Parameter and Data Dimension Reduction for Bayesian Inference Certified Coordinate Selection for largedimensional Bayesian Inversion 
MS19 3: Theory and algorithms of superresolution in imaging and inverse problems Location: VG3.103 Chair: Habib Ammari Chair: Ping Liu On BeurlingSelberg Approximations and the Stability of SuperResolution A Parameter Identification Algorithm for Gaussian Mixture Models Superlocalisation of a pointlike emitter in a resonant environment : correction of the mirage effect Optimal superresolution of close point sources and stability of Prony's method 
MS22 3: Imaging with NonLinear Measurements: Tomography and Reconstruction from Phaseless or Folded Data Location: VG1.101 Chair: Matthias Beckmann Chair: Robert Beinert Chair: Michael Quellmalz Phase retrieval from timefrequency structured data Computational Imaging from Structured Noise Phase retrieval framework for direct reconstruction of the projected refractive index applied to ptychography and holography Zerooptics Xray darkfield 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 infinitedimensional 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 EsteveYague Chair: Johannes Schwab Joint CryoET Alignment and Reconstruction with Neural Deformation Fields Manifoldbased Point Cloud Deformations: Theory and Applications to Protein Conformation Processing Spectral decomposition of atomic structures in heterogeneous cryoEM 
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 graphbased semisupervised 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 Bilevel 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: JanF. Pietschmann Chair: Matthias Schlottbom Inverse problems in imaging and information fusion via structured multimarginal optimal transport Wasserstein PDE GCNN An Optimal Transportbased approach to TotalVariation regularization for the Diffusion MRI problem A gamebased 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 learningbased Inversions in Circular Compton Scattering Tomography On a cylindrical scanning modality in threedimensional 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 EdgePreserving Tomographic Reconstruction with Uncertain View Angles EIT reconstruction using virtual Xrays and machine learning Frequentist Ensemble Kalman Filter Investigation of the effects of Cowling approximation on adiabatic wave propagation in helioseismology Dualgrid parameter choice method for total variation regularised image deblurring Geodesic slice sampling on the sphere Gibbsian Polar Slice Sampling Hybrid knowledge and datadriven approaches for DOT reconstruction in medical imaging Inverse LevelSet 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 TomographyBased Stimulation Nonstationary hyperspectral unmixing with learnt regularization Reduced Order Methods for Linear Gaussian Bayesian Inverse Problems on separable Hilbert Spaces GANbased motion correction in MRI Dynamic Computerized Tomography using Inexact Models and Datadriven Motion Detection Phase retrieval beyond the homogeneous object approximation in Xray 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 nanoCT Combining NonDataAdaptive Transforms For OCT Image Denoising By Iterative Basis Pursuit Iterated ArnoldiTikhonov method Measurement and analysis strategies for EUV pumpprobe 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" 
Date: Thursday, 07/Sept/2023  
9:00am  9:50am 
Pl 6: Plenary lecture Location: ZHG 011 Chair: Fioralba Cakoni Correlationbased imaging and inverse problems in helioseismology 

9:50am  10:40am 
Pl 7: Plenary lecture Location: ZHG 011 Chair: Elena Beretta AlwaysScattering, NonScattering, and Inverse Scattering 

10:40am  11:10am 
C6: Coffee Break Location: ZHG Foyer 

11:10am  12:00pm 
Pl 8: Plenary lecture Location: ZHG 011 Chair: Axel Munk Highdimensional nonlinear Bayesian inverse problems 

12:00pm  1:30pm 
LB3: Lunch Break Location: Mensa 

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 crosscorrelationbased multiparameter 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 MultiPenalty TV Regularisation for Image Denoising: A Study 
CT06: Contributed talks Location: VG2.107 Chair: Milad Karimi $L^1$data fitting for Inverse Problems with subexponentiallytailed data Globally Convergent Convexification Method for Coefficient Inverse Problems for Three Equations On modeling and regularization of piezoelectric inverse problems using allatonce and reduced approaches Solution of the fractional order differential equation for Laplace transform of a boundary functional of a semiMarkov 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 Discretisationadaptive regularisation via frame decompositions Operator Learning Meets Inverse Problems UNLIMITED: The UNiversal LepskiiInspired 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 LippmannSchwinger 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 Xrays 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 closedloop 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 Phasecontrast THzCT for nondestructive testing Diffraction tomography for a generalized incident beam wave Biasfree localizations in cryosingle molecule localization microscopy Uncertaintyaware blob detection in astronomical imaging 
MS20 1: Recent advances in inverse problems for elliptic and hyperbolic equations Location: VG3.104 Chair: RuYu 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 PlugandPlay image reconstruction is a convergent regularization method Provably Convergent PlugandPlay QuasiNewton Methods 
MS26 2: Trends and open problems in cryo electron microscopy Location: VG3.102 Chair: Carlos EsteveYague Chair: Johannes Schwab High Dimensional Covariance Estimation in CryoEM Bayesian random tomography Advancements and New Questions in Analysing the Geometry of Molecular Conformations in CryoEM Optimal transport: a promising tool for cryoelectron 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 diffusionreaction model arising from cardiac electrophysiology Identification of the electric potential of the timefractional Schrödinger équation by boundary measurement The Recovery of Coefficients in Wave Equations from Timetrace Data 
MS33 2: Quantifying uncertainty for learned Bayesian models Location: VG1.105 Chair: Marta Malgorzata Betcke Chair: Martin Holler CalibrationBased Probabilistic Error Bounds for Inverse Problems in Imaging PosteriorVarianceBased 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 limiteddata Xray 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 xray tomography Material Decomposition Techniques for Spectral Computed Tomography Bayesian approach to limiteddata CT reconstruction for inspection of subsea pipes 
MS37 1: Passive imaging in terrestrial and extraterrestrial seismology Location: VG1.102 Chair: Florian Faucher Chair: Damien Fournier Sourcefree seismic imaging with reciprocitygap misfit criterion. Improving our Understanding of Jupiter’s and Saturn’s Interior Structure FullWaveform Inversion and ReverseTime 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 PDEbased 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 

4:00pm  6:00pm 
CT07: Contributed talks Location: VG1.105 Chair: Christian Aarset Accelerating MCMC for imaging science by using an implicit Langevin algorithm QuasiMonte 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 nonblind and semiblind 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 Sparsitypromoting 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 Onestep estimation of spectral optical parameters in quantitative photoacoustic tomography Stable reconstruction of anisotropic conductivity in magnetoacoustic 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 Xrays Location: VG1.103 Chair: Radu Ioan Bot Chair: Russell Luke PACBayesian Learning of Optimization Algorithms Accelerated GriffinLim 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 semidiscretization 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: RuYu 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 EnergyBased Models for Image Reconstruction Gradient Step and Proximal denoisers for convergent plugandplay image restoration. 
MS26 3: Trends and open problems in cryo electron microscopy Location: VG3.102 Chair: Carlos EsteveYague Chair: Johannes Schwab Stochastic optimization for highresolution refinement in cryoEM Fast Principal Component Analysis for CryoEM 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 limiteddata Xray 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 limitedangle CT in the Helsinki Tomography Challenge 2022 VAEs with structured image covariance as priors to inverse imaging problems LimitedAngle Tomography Reconstruction via Deep Learning on Synthetic Data 
MS37 2: Passive imaging in terrestrial and extraterrestrial seismology Location: VG1.102 Chair: Florian Faucher Chair: Damien Fournier Reduced order model approach for active and passive imaging with waves Threedimensional random wave coupling along a boundary with scaling representative of Mars' crust, and an associated inverse problem FrequencyDifference 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 Xray tomography Inverse problems for nonlinear hyperbolic equations and manytoone 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 DataDriven and PhysicsDriven Approches Medical image reconstruction in realistic scenarios: what to do if the groundtruth is missing? 
MS51 2: Analysis, numerical computation, and uncertainty quantification for stochastic PDEbased 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 

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 Jarratttype 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 lowdose Poisson phase retrieval ADMM methods for Phase Retrieval and Ptychography Phase retrieval in the wild: In situ optimized reconstruction for Xray inline 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 Multifrequency 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 Xrays Location: VG1.103 Chair: Radu Ioan Bot Chair: Russell Luke Automated tight Lyapunov analysis for firstorder methods Learned SVD for limited data inversion in PAT and Xray CT Multiscale hierarchical decomposition methods for illposed problems Scalable moment relaxations for graphstructured 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 illposed 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 Intensitybased Inversion Method for QuasiStatic Optical Coherence Elastography On the identification of cavities and inclusions in linear elasticity with a phasefield approach 
MS41 1: Geomathematics Location: VG3.101 Chair: Joonas Ilmavirta Geodesic Xray 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 semilinear wave equations on manifolds Determining a Lorentzian metric from the sourcetosolution map for the relativistic Boltzmann equation Determining Lorentzian manifold from nonlinear 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 taskbased evaluation Learning Fourier sampling schemes for MRI by density optimization Acceleration strategies for Magnetic Resonance Spin Tomography in TimeDomain (MR‐STAT) reconstructions Learning SpatioTemporal Regularization ParameterMaps for Total VariationMinimization Reconstruction in Dynamic Cardiac MRI 
MS59 1: Advanced Reconstruction and Phase Retrieval in Nano Xray 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 postprocessing approaches for nanoCT reconstruction Xray phase and darkfield retrieval from propagationbased images, via the FokkerPlanck 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 DamFoundation contact by a shape optimization method using nondestructive seismic waves Structure inversions for sound speed differences in solarlike 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 illposed 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 MultiSource Domain Adaptation in the Space of Copulas Learning segmentation on unlabeled MRI data using labeled CT data Parameter choice in distanceregularized 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 NeumannPoincaré operator Spectrum of the NeumannPoincaré operator on thin domains 
MS10 4: Optimization in Inverse Scattering: from Acoustics to Xrays Location: VG1.103 Chair: Radu Ioan Bot Chair: Russell Luke Phase retrieval from overexposed PSFs: theory and practice Tensorfree algorithms for lifted quadratic and bilinear inverse problems Implicit regularization via reparametrization 
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 LippmannSchwinger equation Travel Time Tomography in Transversely Isotropic Elasticity via Microlocal Analysis An inverse source problem for the elastogravitational 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 discretevalued optimal control Null Space Networks for undersampled Fourier data Deep Learning Approaches for NonLinear Inverse Problems in MRI Reconstruction Mathematical Methods in Parallel MRI 
MS59 2: Advanced Reconstruction and Phase Retrieval in Nano Xray Tomography Location: VG2.103 Chair: Tim Salditt Chair: Anne Wald Multistage Deep Learning Artifact Reduction for Computed Tomography Deep learning for phase retrieval from Fresnel diffraction patterns Time resolved and multiresolution tomographic reconstruction strategies in practice. Tomographic Reconstruction in Xray Nearfield Diffractive Imaging: from Laboratory $\mu$CT to Synchrotron NanoImaging 
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