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Index of Authors

A list of all persons who contribute to the sessions of this conference. Please select a letter below to list all persons with the corresponding surname. Select the presentation in the right-hand column to access session and presentation details.

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Author(s)	Contribution Title
Aarset, Christian	Optimal design for aeroacoustics with correlation data Presenter
Abdeljawad, Ahmed	Approximation with neural networks in Sobolev setting Presenter
Abele, Daniel	Inverse Level-Set Problems for Capturing Calving Fronts Presenter
Abergel, Rémy	Source separation for Electron Paramagnetic Resonance Imaging
Abhishake, Abhishake	Inverse learning in Hilbert scales Presenter SGD for statistical inverse problems Presenter
Aeckerle-Willems, Cathrine	Concentration analysis of multivariate elliptic diffusions
Aeschlimann, Martin	Imaging valence and excited states of fullerenes in momentum space
Afkham, Babak Maboudi	Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks Sampling from a posterior with Besov prior
Afkham., Babak Maboudi	Posterior consistency for Bayesian inverse Problems with piecewise constant inclusions Presenter
Afraites, Lekbir	A high order PDE-constrained optimization for the image denoising problem Presenter Non-conventional shape optimization methods for solving shape inverse problems On the new coupled complex boundary method for shape inverse problem with the Robin homogeneous condition Presenter
Agapiou, Sergios	Laplace priors and spatial inhomogeneity in Bayesian inverse problems
Agrawal, Divyansh	Linearized Calderon problem for biharmonic operator with partial data Presenter
Ahlborn, Felix	Accurate asteroseismic surface rotation rates for evolved red giants Presenter
Ahlers, Jannis N.	X-ray phase and dark-field retrieval from propagation-based images, via the Fokker-Planck Equation Zero-optics X-ray dark-field imaging using dual energies Presenter
Aida-zade, Kamil	Numerical solution to inverse source problems for a parabolic equation with nonlocal conditions
Alaifari, Rima	Localized artifacts in medical imaging Presenter Phase retrieval from time-frequency structured data Presenter
Albers, Hannes	Parameter identification in magnetization models for large ensembles of magnetic nanoparticles
Alberti, Giovanni	Approximate inverse scattering via convex programming
Alberti, Giovanni S.	Continuous generative models for nonlinear inverse problems On the sample complexity of inverse problems Compressed sensing for the sparse Radon transform
Alberti, Giovanni S.	Learning a sparsity-promoting regularizer for linear inverse problems
Aleotti, Stefano	Fractional graph Laplacian for image reconstruction Presenter
Alexakis, Spyros	Inverse scattering problems for semi-linear wave equations on manifolds Spacetime finite element methods for inverse and control problems subject to the wave equation
Alfaro-Cuello, Mayte	Uncertainty-aware blob detection in astronomical imaging
Alghamdi, Amal	CUQIpy - Computational Uncertainty Quantification for Inverse problems in Python Optimization under uncertainty for the Helmholtz equation with application to photonic nanojets configuration Presenter
Alloo, Samantha	X-ray phase and dark-field retrieval from propagation-based images, via the Fokker-Planck Equation
Almansa, Andres	Bayesian computation with Plug & Play priors for inverse problems in imaging
Altekrüger, Fabian	Learning data-driven priors for image reconstruction: From bilevel optimisation to neural network-based unrolled schemes Learning Spatio-Temporal Regularization Parameter-Maps for Total Variation-Minimization Reconstruction in Dynamic Cardiac MRI The Power of Patches for Training Normalizing Flows Presenter
Altmann, Yoann	Accelerating MCMC for imaging science by using an implicit Langevin algorithm Bayesian modelling and inference for radiation source localisation Efficient Bayesian computation for low-photon imaging problems
Ambartsoumian, Gaik	The star transform and its links to various areas of mathematics Presenter V-line tensor tomography Presenter
Ammari, Habib	A Mathematical Theory of Computational Resolution Limit and Super-resolution A mathematical theory of resolution limits for dynamic super-resolution in particle tracking problems
Andersen, Martin Skovgaard	Sparse Bayesian Inference with Regularized Gaussian Distributions
Ando, Kazunori	Spectrum of the Neumann-Poincaré operator on thin domains Presenter
Antarou Ba, Fatima	Learning data-driven priors for image reconstruction: From bilevel optimisation to neural network-based unrolled schemes
Antholzer, Stephan	Learned SVD for limited data inversion in PAT and X-ray CT
Antorán, Javier	Regularized, pretrained and subspace-restricted Deep Image Prior for CT reconstruction
Antun, Vegard	On accuracy and existence of approximate decoders for ill-posed inverse problems
Arjas, Arttu	Model corrections in linear and nonlinear inverse problems
Arnaud, Elise	Coupled Parameter and Data Dimension Reduction for Bayesian Inference
Arndt, Clemens	Approaches to the Helsinki Tomography Challenge 2022 Presenter Data-driven regularization theory of invertible ResNets for solving inverse problems
Arridge, Simon	Utilising Monte Carlo method for light transport in the inverse problem of quantitative photoacoustic tomography
Arridge, Simon Robert	Fully Stochastic Reconstruction Methods in Coupled Physics Imaging Presenter Learned Solvers for Forward and Backward Image Flow Schemes Presenter
Aspri, Andrea	Lipschitz stable determination of polyhedral conductivity inclusions from local boundary measurements Presenter On the identification of cavities and inclusions in linear elasticity with a phase-field approach On the identification of cavities in a nonlinear diffusion-reaction model arising from cardiac electrophysiology
Assereto, Rodolfo	An Optimal Transport-based approach to Total-Variation regularization for the Diffusion MRI problem Presenter
Attouch, Hedy	Fast convex optimization via closed-loop time scaling of gradient dynamics
Aubert, Gilles	Theoretical and numerical off-the-grid curve reconstruction
Audibert, Lorenzo	An Accelerated Level-Set Method for Inverse Scattering Problems Generalized Sampling method Presenter Imaging of Gravity Dam-Foundation contact by a shape optimization method using non-destructive seismic waves
Autio, Antti Oskari	Subspace surrogate methods for Electrical Impedance Tomography Presenter
Ayad, Ishak	Analytic and Deep learning-based Inversions in Circular Compton Scattering Tomography
Aylwin, Ruben	Multilevel domain UQ in computational electromagnetics
Ba, Fatima Antarou	Learning Spatio-Temporal Regularization Parameter-Maps for Total Variation-Minimization Reconstruction in Dynamic Cardiac MRI
Babaniyi, Olalekan	Comparison of variational formulations for the direct solution of an inverse problem in linear elasticity
Bachmann, Etienne	Full-Waveform Inversion and Reverse-Time Migration in Earthquake and Exploration Seismology
Baguer, Daniel Otero	Regularized, pretrained and subspace-restricted Deep Image Prior for CT reconstruction
Baker, Justin	Inverse scattering: Regularized Lanczos method for the Lippmann-Schwinger equation The Lippmann-Schwinger Lanczos algorithm for inverse scattering.
Bal, Guillaume	A 1-Wasserstein framework for forward-peaked diffusive transport Optimal parameter design for spectral CT
Balazs, Peter	Accelerated Griffin-Lim algorithm: A fast and provably convergent numerical method for phase retrieval Audio Inpainting Presenter
Baldassari, Lorenzo	An inverse source problem for the elasto-gravitational equations
Balehowsky, Tracey	Determining a Lorentzian metric from the source-to-solution map for the relativistic Boltzmann equation Presenter
Banerjee, Agnid	The Calderón problem for space-time fractional parabolic operators with variable coefficients
Banert, Sebastian	Automated tight Lyapunov analysis for first-order methods
Bange, Jan Philipp	Experimental progress towards time-resolved three-dimensional orbital tomography
Bansal, Harshit	Choosing observations to mitigate model error in Bayesian inverse problems
Baptista, Ricardo	Coupled Parameter and Data Dimension Reduction for Bayesian Inference
Baraldi, Robert	An Inexact Trust-Region Algorithm for Nonsmooth Nonconvex Optimization Presenter
Barbano, Riccardo	Regularized, pretrained and subspace-restricted Deep Image Prior for CT reconstruction Uncertainty Quantification for Computed Tomography via the Linearised Deep Image Prior Presenter
Barbone, Paul E.	Comparison of variational formulations for the direct solution of an inverse problem in linear elasticity Presenter
Bardsley, Johnathan M.	Edge-Preserving Tomographic Reconstruction with Uncertain View Angles
Barnett, Joel	Multiscale hierarchical decomposition methods for images corrupted by multiplicative noise
Barucq, Hélène	Investigation of the effects of Cowling approximation on adiabatic wave propagation in helioseismology
Basu, Sarbani	Accurate asteroseismic surface rotation rates for evolved red giants Structure inversions for sound speed differences in solar-like stars
Batenburg, Joost	Multi-stage Deep Learning Artifact Reduction for Computed Tomography
Batenkov, Dmitry	Optimal super-resolution of close point sources and stability of Prony's method
Baysal, Onur	Boundary identification in cantilever beam equation related to the atomic force microscopy Presenter
Beckmann, Matthias	Equivariant Neural Networks for Indirect Measurements Inversion of the Modulo Radon Transform via Orthogonal Matching Pursuit Presenter
Beinert, Robert	Phase Retrieval in Optical Diffraction Tomography Presenter Tensor-free algorithms for lifted quadratic and bilinear inverse problems
Bellam Muralidhar, Nanda Kishore	Damage detection by guided ultrasonic waves and uncertainty quantification
Bellinger, Earl	Progress in Asteroseismology: Where We Stand and Where We'll Go Presenter Structure inversions for sound speed differences in solar-like stars
Bellinger, Earl P.	Accurate asteroseismic surface rotation rates for evolved red giants
Beltran, Mario	X-ray phase and dark-field retrieval from propagation-based images, via the Fokker-Planck Equation
Benedetto, Fabio Di	Regularization in non-Euclidean spaces meets numerical linear algebra
Benfenati, Alessandro	Investigating the Human Body by Light: Neural Networks for Data-Driven and Physics-Driven Approches Presenter Investigating the human body by light: the challenge of problem inversion
Bennecke, Wiebke	Experimental progress towards time-resolved three-dimensional orbital tomography Presenter
Benning, Martin	A lifted Bregman formulation for the inversion of deep neural networks Presenter Trust your source: quantifying source condition elements for variational regularisation methods Presenter
Benvenuto, Federico	Predictive risk regularization for Gaussian and Poisson inverse problems Presenter
Beretta, Elena	On the identification of cavities and inclusions in linear elasticity with a phase-field approach Presenter On the identification of cavities in a nonlinear diffusion-reaction model arising from cardiac electrophysiology Presenter
Betcke, Marta	Scalable Bayesian uncertainty quantification with learned convex regularisers
Bevilacqua, Francesca	Masked and Unmasked Principles for Automatic Parameter Selection in Variational Image Restoration for Poisson Noise Corruption Presenter Material Decomposition Techniques for Spectral Computed Tomography Presenter
Bhandari, Ayush	Tackling noise in multiple dimensions via hysteresis modulo sampling Computational Imaging from Structured Noise Presenter
Bianchi, Davide	Iterated Arnoldi-Tikhonov method The graphLa+ method: a dynamic regularization based on the graph Laplacian Presenter
Blanc-Féraud, Laure	Theoretical and numerical off-the-grid curve reconstruction
Blanke, Stephanie	Artifact reduction for time dependent image reconstruction in magnetic particle imaging
Blåsten, Emilia Lavie Kyllikki	Inverse problems for the graph Laplacian Imaging water supply pipes using pressure waves Presenter Scattering from corners and other singularities Presenter
Blumenthal, Moritz	Deep Learning Approaches for Non-Linear Inverse Problems in MRI Reconstruction Presenter Bayesian MRI reconstruction with joint uncertainty estimation using diffusion priors
Bocchinfuso, Alberto	Bayesian sparse optimization for dictionary learning
Boecker, Alina	Uncertainty-aware blob detection in astronomical imaging
Bohr, Jan	A Bernstein-von-Mises theorem for the Calder\'{o}n problem with piecewise constant conductivities Presenter The range of the non-Abelian X-ray transform Presenter
Bon, Daan	Wasserstein PDE G-CNN Presenter
Bonafini, Mauro	A game-based approach to learn interaction rules for systems of rational agents Presenter
Bonazzoli, Marcella	Imaging of Gravity Dam-Foundation contact by a shape optimization method using non-destructive seismic waves
Bonino, Brigida	Regularization in non-Euclidean spaces meets numerical linear algebra
Bonnet, Marc	Analysis of topological derivative for qualitative defect imaging using elastic waves Presenter
Bonnet-Ben Dhia, Anne-Sophie	Computation of transmission eigenvalues in singular configurations using a corner perfectly matched layer
Borcea, Liliana	Reduced order model approach for active and passive imaging with waves
Bot, Radu Ioan	Accelerated Griffin-Lim algorithm: A fast and provably convergent numerical method for phase retrieval Fast convex optimization via closed-loop time scaling of gradient dynamics Fast Optimistic Gradient Descent Ascent method in continuous and discrete time Presenter
Boukraa, Mohamed Aziz	Imaging of Gravity Dam-Foundation contact by a shape optimization method using non-destructive seismic waves Presenter
Bourgeois, Laurent	Inverse scattering in a partially embedded waveguide Presenter
Boussâa, Mehdi	Source separation for Electron Paramagnetic Resonance Imaging Presenter
Brandt, Christina	Artifact reduction for time dependent image reconstruction in magnetic particle imaging Presenter
Bredies, Kristian	An Optimal Transport-based approach to Total-Variation regularization for the Diffusion MRI problem Asymptotic linear convergence of fully-corrective generalized conditional gradient methods Presenter Sparse optimization algorithms for dynamic imaging Tensor-free algorithms for lifted quadratic and bilinear inverse problems Presenter
Brojatsch, Andrej	Uniqueness, error bounds and global convergence for an inverse Robin transmission problem with a finite number of electrodes Presenter
Brubaker, Marcus A.	Stochastic optimization for high-resolution refinement in cryo-EM
Bruch, Michelle	Gamma spectrum analysis in nuclear decommissioning Presenter
Bubba, Tatiana Alessandra	Trust your source: quantifying source condition elements for variational regularisation methods Convex regularization in statistical inverse learning problems Image reconstruction for Passive Gamma Emission Tomography of spent nuclear fuel Passive Gamma Emission Tomography (PGET) of spent nuclear fuel Learned proximal operators in accelerated unfolded methods with pseudodifferential operators Learned proximal operators meets unrolling: a deeply learned regularisation for limited angle tomography Presenter Reconstructing spatio-temporal, sparse tomographic data using cylindrical shearlets Presenter
Buccini, Alessandro	Fractional graph Laplacian for image reconstruction Limited memory restarted $\ell^p-\ell^q$ minimization methods using generalized Krylov subspaces Presenter
Buchele, Lynn	Structure inversions for sound speed differences in solar-like stars Presenter
Burger, Martin	Combined EEG/MEG source analysis for reconstructing the epileptogenic zone in focal epilepsy Convex regularization in statistical inverse learning problems Gamma ray imaging with bidirectional Compton cameras Gamma spectrum analysis in nuclear decommissioning Practical gamma ray imaging with monolithic scintillation detector Compton cameras
Burky, Alex L.	Full-Waveform Inversion and Reverse-Time Migration in Earthquake and Exploration Seismology
Busse, Harald	Approaches on Feature and Model Selection for high-dimensional data in Medical Research and Analysis
Cakoni, Fioralba	A duality between scattering poles and transmission eigenvalues in scattering theory Presenter Celebrating Colton and Kress Contributions Presenter
Calatroni, Luca	Gradient descent-based algorithms for inverse problems in variable exponent Lebesgue spaces Regularization in non-Euclidean spaces meets numerical linear algebra
Calisti, Valentin	Minimization of blood damage induced by non-newtonian fluid flows in moving domains Presenter
Calvetti, Daniela	Bayesian sparse optimization for dictionary learning
Campillo, Michel	Passive seismic body waves imaging for the deep Earth. Presenter
Campodonico, Paolo	On accuracy and existence of approximate decoders for ill-posed inverse problems
Cao, Xinlin	The electromagnetic waves generated by a cluster of nanoparticles with high refractive indices and corresponding effective medium theory. Presenter
Carere, Giuseppe	Reduced Order Methods for Linear Gaussian Bayesian Inverse Problems on separable Hilbert Spaces Presenter
Carioni, Marcello	Asymptotic linear convergence of fully-corrective generalized conditional gradient methods Efficient adversarial regularization for inverse problems
Carioni, Marcello	Sparse optimization algorithms for dynamic imaging
Carrillo-Lincopi, Hugo	Hybrid Inverse Problems for Nonlinear Elasticity
Carstea, Catalin Ion	A density property for tensor products of gradients of harmonic functions Presenter An inverse problem for the porous medium equation Presenter
Causin, Paola	Investigating the human body by light: the challenge of problem inversion Presenter
Causin, Paola	Investigating the Human Body by Light: Neural Networks for Data-Driven and Physics-Driven Approches
Cavaterra, Cecilia	On the identification of cavities and inclusions in linear elasticity with a phase-field approach
Cebeiro, Javier	Analytic and Deep learning-based Inversions in Circular Compton Scattering Tomography
Cekic, Mihajlo	Calderon problem for elliptic systems via complex ray transform Presenter Resonant forms at zero for dissipative Anosov flows Presenter
Celisse, Alain	Early stopping for spectral filter estimators regularized by projection Presenter
Chabat, Lola	Investigation of the effects of Cowling approximation on adiabatic wave propagation in helioseismology Presenter
Chabrier, Gilles	Internal structure of giant planets from gravity data
Chada, Neil	Advancements of $\alpha$-stable priors for Bayesian inverse problems Presenter Edge-preserving inversion with $\alpha$-stable priors
Challa, Durga Prasad	The Foldy-Lax approximation of scattered field by many small inclusions near the resonating frequencies for Lam\`e system
Chambolle, Antonin	Noise Estimation via Tractable Diffusion
Charalambopoulos, Antonios	Augmented total variation regularization in imaging inverse problems
Chen, Junzhi	Supercomputing-based inverse modeling of high-resolution atmospheric contaminant source intensity distribution using remote sensing data
Chen, Peng	Optimization under uncertainty for the Helmholtz equation with application to photonic nanojets configuration
Chen, Qiao	Coupled Parameter and Data Dimension Reduction for Bayesian Inference Presenter
Chen, Xi	Inverse problem for Yang-Mills-Higgs fields
Chen, Yongxin	Inverse problems in imaging and information fusion via structured multimarginal optimal transport
Chenchene, Enis	Proximal point algorithm in spaces with semidefinite inner product
Cherkaev, Elena	Inverse scattering: Regularized Lanczos method for the Lippmann-Schwinger equation Presenter The Lippmann-Schwinger Lanczos algorithm for inverse scattering.
Chesnel, Lucas	Computation of transmission eigenvalues in singular configurations using a corner perfectly matched layer
Cho, Daehee	Recovering an elastic inclusion using the shape derivative of the elastic moment tensors Presenter
Choi, Doosung	Construction of inclusions with vanishing generalized polarization tensors by imperfect interfaces Presenter
Christian Skov Jensen, Bjørn	A first-order optimization method with simultaneous adaptive pde constraint solver Presenter
Chung, Julianne	Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks Presenter How to sample from a posterior like you sample from a prior
Chung, Matthias	Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks How to sample from a posterior like you sample from a prior
Clackdoyle, Rolf	The Range of Projection Pair Operators
Clason, Christian	MRI Pulse Design via discrete-valued optimal control Presenter
Clementz, Samy	Early stopping for spectral filter estimators regularized by projection
Colton, David	A duality between scattering poles and transmission eigenvalues in scattering theory
Covi, Giovanni	Uniqueness in an inverse problem for the anisotropic fractional conductivity equation Presenter Uniqueness in an inverse problem of fractional elasticity Presenter
Csetnek, Ernö Robert	Fast Optimistic Gradient Descent Ascent method in continuous and discrete time
Cui, Congyue	Full-Waveform Inversion and Reverse-Time Migration in Earthquake and Exploration Seismology
Cuomo, Salvatore	Speckle noise removal via learned variational models
Cvetkovic, Nada	Choosing observations to mitigate model error in Bayesian inverse problems Presenter
Dardé, Jérémi	Immersed boundary method for electrical impedance tomography in the frame of electrocardiography
De bortoli, Valentin	Bayesian computation with Plug & Play priors for inverse problems in imaging
De Castro, Yohann	Total variation regularized problems: a support stability result
de Gournay, Frédéric	Learning Fourier sampling schemes for MRI by density optimization
de Hoop, Maarten V	Mapping properties of neural networks and inverse problems Properties of solutions for anisotropic viscoelastic systems Reconstruction of anisotropic stiffness tensors using algebraic geometry Deep Invertible Approximation of Topologically Rich Maps between Manifolds Operator Learning Meets Inverse Problems
de Hoop, Maarten V.	An inverse source problem for the elasto-gravitational equations
de Hoop, Maarten Valentijn	Three-dimensional random wave coupling along a boundary with scaling representative of Mars' crust, and an associated inverse problem Presenter
De Rosa, Mariapia	Speckle noise removal via learned variational models
De Vito, Ernesto	Learning a sparsity-promoting regularizer for linear inverse problems
de Wiljes, Jana	Analysis of a localized non-linear ensemble Kalman-Bucy filter with sparse observations Edge-preserving inversion with heavy-tailed Bayesian neural networks priors
de Wit, Anne V.	Joint Born Inversion of Acoustic and Electromagnetic Wave fields
Debarnot, Valentin	Joint Cryo-ET Alignment and Reconstruction with Neural Deformation Fields Presenter
Debras, Florian	Internal structure of giant planets from gravity data Presenter
Delon, Julie	Bayesian computation with Plug & Play priors for inverse problems in imaging
Dendooven, Peter	Image reconstruction for Passive Gamma Emission Tomography of spent nuclear fuel Presenter Passive Gamma Emission Tomography (PGET) of spent nuclear fuel
Denecke, Timm	Approaches on Feature and Model Selection for high-dimensional data in Medical Research and Analysis
Deng, Yu	Deautoconvolution in the two-dimensional case Presenter
Denker, Alexander	Approaches to the Helsinki Tomography Challenge 2022 Data-driven regularization theory of invertible ResNets for solving inverse problems Regularized, pretrained and subspace-restricted Deep Image Prior for CT reconstruction The Power of Patches for Training Normalizing Flows
Desbat, Laurent	The Range of Projection Pair Operators
Dewberry, Janosz Walker	No planet is an island: what we can learn from how Saturn interacts with its surroundings Presenter
Di Fulvio, Angela	Bayesian modelling and inference for radiation source localisation
di Sciacca, Giuseppe	Learned Solvers for Forward and Backward Image Flow Schemes
Diab, Nuha	Optimal super-resolution of close point sources and stability of Prony's method Presenter
Diederichs, Benedikt	Interaction Models in Ptychography Presenter Designing an algorithm for low-dose Poisson phase retrieval
Diepeveen, Willem	Manifold-based Point Cloud Deformations: Theory and Applications to Protein Conformation Processing Presenter Spectral decomposition of atomic structures in heterogeneous cryo-EM
Dikaios, Nikolaos	Augmented total variation regularization in imaging inverse problems
Dinh, Thi Lan	A minimalist approach to 3D photoemission orbital tomography: how many measurements are enough? Presenter Experimental progress towards time-resolved three-dimensional orbital tomography
Dinu, Marius-Constantin	Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation Presenter
Dittmer, Sören	Approaches to the Helsinki Tomography Challenge 2022 Data-driven regularization theory of invertible ResNets for solving inverse problems
Dobson, Paul	Accelerating MCMC for imaging science by using an implicit Langevin algorithm Efficient Bayesian computation for low-photon imaging problems
Dokmanic, Ivan	Deep Invertible Approximation of Topologically Rich Maps between Manifolds
Dokmanić, Ivan	Joint Cryo-ET Alignment and Reconstruction with Neural Deformation Fields Mapping properties of neural networks and inverse problems
Dokmanic, Ivan	Recontructing Interactions from Dynamics Presenter
Dölz, Jürgen	Isogeometric multilevel quadrature for forward and inverse random acoustic scattering Presenter
Donatelli, Marco	Fractional graph Laplacian for image reconstruction Iterated Arnoldi-Tikhonov method
Dong, Yiqiu	Certified Coordinate Selection for large-dimensional Bayesian Inversion Dual-grid parameter choice method for total variation regularised image deblurring Material Decomposition Techniques for Spectral Computed Tomography Recursive Update of Linearization Model Error for Conductivity Reconstruction from ICDI Sampling from a posterior with Besov prior Sparse Bayesian Inference with Regularized Gaussian Distributions Edge-Preserving Tomographic Reconstruction with Uncertain View Angles
Donlon, Niall	Stable reconstruction of anisotropic conductivity in magneto-acoustic tomography with magnetic induction Presenter
Dora, Johannes	Phase retrieval in the wild: In situ optimized reconstruction for X-ray in-line holography Presenter
Dou, Fangfang	Some progresses in Carleman estimates and their applications in inverse problems for stochastic partial differential equations Presenter
Dowling, David R.	Frequency-Difference Backprojection of Earthquakes
Drexler, Wolfgang	Quantitative Parameter Reconstruction from Optical Coherence Tomographic Data An Intensity-based Inversion Method for Quasi-Static Optical Coherence Elastography
Druskin, Vladimir	The Lippmann-Schwinger Lanczos algorithm for inverse scattering.
Druskin, Vladimir	Inverse scattering: Regularized Lanczos method for the Lippmann-Schwinger equation
Du, Wanli	Some progresses in Carleman estimates and their applications in inverse problems for stochastic partial differential equations
Duff, Margarat	VAEs with structured image covariance as priors to inverse imaging problems Presenter
Dunker, Fabian	Regularized Maximum Likelihood Estimation for the Random Coefficients Model Presenter
Duong, Duc-Lam	Inverse problems for hyperbolic conservation laws Presenter
Durand, Sylvain	Source separation for Electron Paramagnetic Resonance Imaging
Durmus, Alain	Bayesian computation with Plug & Play priors for inverse problems in imaging
Duval, Vincent	Total variation regularized problems: a support stability result Presenter
Ebner, Andrea	Plug-and-Play image reconstruction is a convergent regularization method Presenter
Edwin, Versteeg	Acceleration strategies for Magnetic Resonance Spin Tomography in Time-Domain (MR‐STAT) reconstructions
Effland, Alexander	Shared Prior Learning of Energy-Based Models for Image Reconstruction Presenter
Ehlers, Björn	Compensating motion and model inexactness in nano-CT Presenter New approaches for reconstruction in dynamic nano-CT imaging
Elbau, Peter	Motion detection in diffraction tomography Photoacoustic imaging in acoustic attenuating media Quantitative Parameter Reconstruction from Optical Coherence Tomographic Data
Elgy, James	Advances in object characterisation for metal detection inverse problems
Elmers, Hans-Joachim	Element-Selective Structural Information by Hard X-ray Photoelectron Diffraction Presenter
Elvander, Filip	Inverse problems in imaging and information fusion via structured multimarginal optimal transport
Elvetun, Ole Løseth	Weighted sparsity regularization for estimating the source term in the potential equation
Engquist, Björn	The quadratic Wasserstein metric for inverse data matching
Eptaminitakis, Nikolaos	Mapping properties and functional relations for the hyperbolic X-ray transform
Eptaminitakis, Nikolas	Weakly nonlinear geometric optics for the Westervelt equation Presenter
Erdbrügger, Tim	Adaptive Method for Bayesian EEG/MEG Source Localization to Support Treatment of Focal Epilepsy
Estatico, Claudio	Gradient descent-based algorithms for inverse problems in variable exponent Lebesgue spaces Regularization in non-Euclidean spaces meets numerical linear algebra Presenter
Esteve-Yagüe, Carlos	Manifold-based Point Cloud Deformations: Theory and Applications to Protein Conformation Processing
Esteve-Yague, Carlos	Spectral decomposition of atomic structures in heterogeneous cryo-EM Presenter
Evangelista, Davide	Medical image reconstruction in realistic scenarios: what to do if the ground-truth is missing? Presenter
Everink, Jasper Marijn	Sparse Bayesian Inference with Regularized Gaussian Distributions Presenter
Fabian, Karl	The inverse problem of micromagnetic tomography in rock- and paleomagnetism Presenter
Fan, Wenyuan	Frequency-Difference Backprojection of Earthquakes
Fang, Ming	Bayesian modelling and inference for radiation source localisation
Fannjiang, Albert	ADMM methods for Phase Retrieval and Ptychography Presenter Uniqueness theory for 3D phase retrieval and unwrapping Presenter
Fanzon, Silvio	Sparse optimization algorithms for dynamic imaging Presenter
Fanzon, Silvio	Asymptotic linear convergence of fully-corrective generalized conditional gradient methods
Fardell, Gemma	Directional regularization with the Core Imaging Library for limited-angle CT in the Helsinki Tomography Challenge 2022
Faucher, Florian	Investigation of the effects of Cowling approximation on adiabatic wave propagation in helioseismology Quantitative reconstruction of viscoelastic media with attenuation model uncertainty. Presenter Source-free seismic imaging with reciprocity-gap misfit criterion. Presenter
Fei, Zetao	IFF: A Super-resolution Algorithm for Multiple Measurements Presenter
Feinler, Mathias Simon	Iterative and data-driven motion compensation in tomography GAN-based motion correction in MRI Presenter
Feizmohammadi, Ali	Spacetime finite element methods for inverse and control problems subject to the wave equation
Feizmohammadi, Ali	Inverse problems for wave equations
Felisi, Alessandro	Compressed sensing for the sparse Radon transform Presenter
Fergy T. Rabago, Julius	On the new coupled complex boundary method for shape inverse problem with the Robin homogeneous condition
Ferreira Da Costa, Maxime	On Beurling-Selberg Approximations and the Stability of Super-Resolution Presenter
Fiedler, Christian	From Manual to Automatic: Streamlining MRI Marker Detection and Localization for Surgical Planning Presenter
Filbir, Frank	Designing an algorithm for low-dose Poisson phase retrieval
Fink, Leonie	Nonlinear impedance boundary conditions in inverse obstacle scattering Presenter
Finlay, Chris	Co-estimation of core and lithospheric signals in satellite magnetic data Presenter
Flemming, Jens	Chances and limitations of machine learning approaches to inverse problems Presenter
Flenner, Silja	Phase retrieval in the wild: In situ optimized reconstruction for X-ray in-line holography
Flock, Rafael	Certified Coordinate Selection for large-dimensional Bayesian Inversion Presenter
Florescu, Dorian	Tackling noise in multiple dimensions via hysteresis modulo sampling Presenter
Fornasier, Massimo	A game-based approach to learn interaction rules for systems of rational agents
Foschiatti, Sonia	Stability for the inverse problem of the determination on an inclusion in a Schrödinger type equation using Cauchy data. Presenter
Fournier, Damien	Investigation of the effects of Cowling approximation on adiabatic wave propagation in helioseismology Parameter identification in helioseismology Presenter
Francini, Elisa	An inverse source problem for the elasto-gravitational equations Presenter On the identification of cavities in a nonlinear diffusion-reaction model arising from cardiac electrophysiology
Frank, David	Deep learning to tackle model inexactness and motion in Compton Scattering Tomography
Frapart, Yves	Source separation for Electron Paramagnetic Resonance Imaging
Fregoso Becerra, Emilia	Detection of geophysical structures using optical flow methodologies for potential data
Freudenberg, Tom	Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems
Frikel, Jürgen	A new variational appraoch for limited data reconstructions in x-ray tomography Presenter Regularizing Inverse Problems through Translation Invariant Diagonal Frame Decompositions Presenter
Frischauf, Leon	Learning segmentation on unlabeled MRI data using labeled CT data Presenter
Fritsch, Jean-François	Inverse scattering in a partially embedded waveguide
Frommer, Fabio Marc	The Henderson problem and the relative entropy functional Presenter
Furchì, Davide	Iterated Arnoldi-Tikhonov method Presenter
Gaburro, Romina	Stability and reconstruction for anisotropic inverse problems. Presenter Uniqueness and stability for anisotropic inverse problems. Presenter
Gangadaraiah, Divya	The Foldy-Lax approximation of scattered field by many small inclusions near the resonating frequencies for Lam\`e system Presenter
García-Ferrero, María Ángeles	The Calderón problem for directionally antilocal operators Presenter
Garde, Henrik	Linearised inverse conductivity problem: reconstruction and Lipschitz stability for infinite-dimensional spaces of perturbations
Garnier, Josselin	Reduced order model approach for active and passive imaging with waves Presenter Three-dimensional random wave coupling along a boundary with scaling representative of Mars' crust, and an associated inverse problem
Gerhards, Christian	Inverse magnetization problems in geoscience at various scales Presenter
Germer, Thomas	Limited-Angle Tomography Reconstruction via Deep Learning on Synthetic Data
Ghandriche, Ahcene	Simultaneous Reconstruction Of Optical And Acoustical Properties In PA-Imaging Using Plasmonics. Presenter
Ghidaoui, Mohamed S.	Imaging water supply pipes using pressure waves
Ghosh, Tuhin	An inverse problem for the porous medium equation
Gilles, Marc Aurèle	High Dimensional Covariance Estimation in Cryo-EM Presenter
Gintides, Drossos	The direct and inverse scattering problem of obliquely incident electromagnetic waves by an inhomogeneous infinitely long cylinder Presenter The inverse spectral problem for a spherically symmetric refractive index using modified transmission eigenvalues
Giogiakas, Sotirios	The direct and inverse scattering problem of obliquely incident electromagnetic waves by an inhomogeneous infinitely long cylinder
Giordano, Matteo	MCMC Methods for Low Frequency Diffusion Data Presenter
Giovannelli, Jean-Francois	Maximum marginal likelihood estimation of regularisation parameters in Plug & Play Bayesian estimation: Application to non-blind and semi-blind image deconvolution
Girometti, Laura	Quaternary image decomposition with cross-correlation-based multi-parameter selection Presenter
Giselsson, Pontus	Automated tight Lyapunov analysis for first-order methods Presenter
Gizon, Laurent	Correlation-based imaging and inverse problems in helioseismology Helioseismic inversions for active latitudes Probing solar turbulent viscosity with inertial modes
Glaubitz, Jan	Sparsity-promoting hierarchical Bayesian inverse problems and uncertainty quantification Presenter
Gollisch, Tim	Revealing Functional Substructure of Retinal Ganglion Cell Receptive Fields Using Tomography-Based Stimulation
Gossard, Alban	Learning Fourier sampling schemes for MRI by density optimization Presenter
Gottschling, Nina Maria	On accuracy and existence of approximate decoders for ill-posed inverse problems Presenter
Gräßle, Carmen	Damage detection by guided ultrasonic waves and uncertainty quantification
Griesmaier, Roland	Inverse medium scattering for a nonlinear Helmholtz equation Presenter
Grinevich, Piotr G.	Transparent scatterers and transmission eigenvalues of infinite multiplicity
Grohl, Janek	Data-driven quantitative photoacoustic imaging Presenter
Gross, Sven	Supercomputing-based inverse modeling of high-resolution atmospheric contaminant source intensity distribution using remote sensing data
Guevara Vasquez, Fernando	Some inverse problems on graphs with internal functionals Presenter
Guillarmou, Colin	Microlocal applications to the study of marked length spectrum rigidity and lens rigidity in chaotic settings Presenter
Guillaumin, Arthur P.	Efficient Parameter Estimation of Sampled Random Fields
Gupta, Sidharth	Joint Cryo-ET Alignment and Reconstruction with Neural Deformation Fields
Haasler, Isabel	Inverse problems in imaging and information fusion via structured multimarginal optimal transport
Habeck, Michael	Bayesian random tomography Presenter Geodesic slice sampling on the sphere Gibbsian Polar Slice Sampling
Habring, Andreas	Calibration-Based Probabilistic Error Bounds for Inverse Problems in Imaging Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging
Haddar, Houssem	A duality between scattering poles and transmission eigenvalues in scattering theory An Accelerated Level-Set Method for Inverse Scattering Problems An unexpected role of transmission eigenvalues in imaging algorithms Celebrating Colton and Kress Contributions Imaging of Gravity Dam-Foundation contact by a shape optimization method using non-destructive seismic waves Interior transmission problems related to imaging periodic layers Presenter
Hadri, Aissam	A high order PDE-constrained optimization for the image denoising problem Non-conventional shape optimization methods for solving shape inverse problems
Hagemann, Johannes	Phase retrieval framework for direct reconstruction of the projected refractive index applied to ptychography and holography Presenter Phase retrieval in the wild: In situ optimized reconstruction for X-ray in-line holography
Hagemann, Paul	Stochastic Normalizing Flows for Inverse Problems via Markov Chains The Power of Patches for Training Normalizing Flows
Hahn, Bernadette	GAN-based motion correction in MRI Iterative and data-driven motion compensation in tomography Presenter
Hahn-Rigaud, Bernadette	Deep Learning for Reconstruction in Nano CT Diffusion based regularization for multi-energy CT with limited data New approaches for reconstruction in dynamic nano-CT imaging
Halla, Martin	A new family of nearly singular interior transmission eigenvalues for inverse scattering Presenter
Haltmeier, Markus	A hybrid algorithm for material decomposition in multi-energy CT Learned SVD for limited data inversion in PAT and X-ray CT Presenter Null Space Networks for undersampled Fourier data Presenter Plug-and-Play image reconstruction is a convergent regularization method
Hämarik, Uno	Heuristic parameter choice from local minimum points of the quasioptimality function for the class of regularization methods Presenter
Han, Yinan	Supercomputing-based inverse modeling of high-resolution atmospheric contaminant source intensity distribution using remote sensing data
Hanke, Martin	The Henderson problem and the relative entropy functional
Hänninen, Niko	Utilising Monte Carlo method for light transport in the inverse problem of quantitative photoacoustic tomography
Hannukainen, Antti	Optimizing electrode positions in electrical impedance tomography for head imaging Subspace surrogate methods for Electrical Impedance Tomography
Hansen, Anders C.	On accuracy and existence of approximate decoders for ill-posed inverse problems
Hansen, Per Christian	Edge-Preserving Tomographic Reconstruction with Uncertain View Angles Presenter
Harbrecht, Helmut	Isogeometric multilevel quadrature for forward and inverse random acoustic scattering Isogeometric Shape Optimization of Periodic Structures in Three Dimensions
Harmeling, Stefan	Limited-Angle Tomography Reconstruction via Deep Learning on Synthetic Data
Harris, Isaac	Asymptotics Applied to Small Volume Inverse Shape Problems Presenter Transmission Eigenvalues for a Conductive Boundary Presenter
Hasanov, Alemdar	Boundary identification in cantilever beam equation related to the atomic force microscopy
Hasenpflug, Mareike	Geodesic slice sampling on the sphere Presenter
Hastermann, Gottfried	Analysis of a localized non-linear ensemble Kalman-Bucy filter with sparse observations Presenter
Hauptmann, Andreas Selmar	Learned iterative model-based approaches in quantitative photoacoustic tomography Model corrections in linear and nonlinear inverse problems Presenter Regularized, pretrained and subspace-restricted Deep Image Prior for CT reconstruction Learned Solvers for Forward and Backward Image Flow Schemes
Heide, Martin	Bayesian MRI reconstruction with joint uncertainty estimation using diffusion priors
Heilenkötter, Nick	Data-driven regularization theory of invertible ResNets for solving inverse problems Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems Equivariant Neural Networks for Indirect Measurements Presenter
Hekker, Saskia	Accurate asteroseismic surface rotation rates for evolved red giants Structure inversions for sound speed differences in solar-like stars
Helin, Tapio	Convex regularization in statistical inverse learning problems Convex regularization in statistical inverse learning problems Presenter Learning a sparsity-promoting regularizer for linear inverse problems
Hellmuth, Kathrin	Multiscale Parameter Identification: mesoscopic kernel reconstruction from macroscopic data Presenter
Heng, Yi	Supercomputing-based inverse modeling of high-resolution atmospheric contaminant source intensity distribution using remote sensing data Presenter
Hernández-Lobato, José Miguel	Regularized, pretrained and subspace-restricted Deep Image Prior for CT reconstruction
Hertrich, Johannes	Continuous generative models for nonlinear inverse problems Stochastic Normalizing Flows for Inverse Problems via Markov Chains Presenter The Power of Patches for Training Normalizing Flows
Hinterer, Fabian	Bias-free localizations in cryo-single molecule localization microscopy Presenter
Höfer, Ulrich	Time-resolved photoemission orbital tomography of organic interfaces Presenter
Hoffmann, Lars	Supercomputing-based inverse modeling of high-resolution atmospheric contaminant source intensity distribution using remote sensing data
Hoffmann, Marc	Bayesian estimation in a multidimensional diffusion model with high frequency data
Hofmann, Bernd	Deautoconvolution in the two-dimensional case New results for variational regularization with oversmoothing penalty term in Banach spaces
Hohage, Thorsten	Geometric regularization in three-dimensional inverse obstacle scattering Logarithmic stability and instability estimates for random inverse source problems Measurement and analysis strategies for EUV pump-probe spectroscopic imaging Optimal design for aeroacoustics with correlation data Passive inverse obstacle scattering problems Presenter Phase retrieval and phaseless inverse scattering with background information X-ray holographic imaging using intensity correlations
Holighaus, Nicki	Audio Inpainting
Holler, Martin	Calibration-Based Probabilistic Error Bounds for Inverse Problems in Imaging Exact Parameter Identification in PET Pharmacokinetic Modeling Using the Irreversible Two Tissue Compartment Model Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging Presenter
Holman, Sean	Microlocal properties and injectivity for Ellipsoidal and hyperbolic Radon transforms Simultaneous recovery of attenuation and source density in SPECT and multibang regularisation Presenter
Hölzer, Karsten	Machine Learning Techniques applied to Compton Cameras
Holzleitner, Markus	Explicit error rate results in the context of domain generalization Presenter
Hong, Jiho	Numerical computation of Laplacian eigenvalues based on the layer potential formulation
Honkamaa, Tapani	Image reconstruction for Passive Gamma Emission Tomography of spent nuclear fuel Passive Gamma Emission Tomography (PGET) of spent nuclear fuel
Horst, Andreas	Sampling from a posterior with Besov prior Presenter
Huang, Mingming	Supercomputing-based inverse modeling of high-resolution atmospheric contaminant source intensity distribution using remote sensing data
Huang, Xinpeng	Slepian concentration problem for polynomials on the Ball Presenter
Huang, Yihe	Frequency-Difference Backprojection of Earthquakes
Huber, Richard	The Range of Projection Pair Operators Presenter
Hubmer, Simon	An Intensity-based Inversion Method for Quasi-Static Optical Coherence Elastography Efficient minimization of variational functionals via semismooth* Newton methods Presenter Phase-contrast THz-CT for non-destructive testing Presenter
Hucker, Laura	Early stopping for conjugate gradients in statistical inverse problems Presenter
Huhn, Simon	Phase retrieval beyond the homogeneous object approximation in X-ray holographic imaging
Humbert, Angelika	Inverse Level-Set Problems for Capturing Calving Fronts
Hurault, Samuel	Gradient Step and Proximal denoisers for convergent plug-and-play image restoration. Presenter
Huska, Martin	Quaternary image decomposition with cross-correlation-based multi-parameter selection
Huynh, Phuoc Truong	Optimality of pulse energy for photoacoustic tomography Presenter
Hyvönen, Nuutti	Linearised inverse conductivity problem: reconstruction and Lipschitz stability for infinite-dimensional spaces of perturbations Presenter Optimizing electrode positions in electrical impedance tomography for head imaging
Ibayev, Elshan	Solution of the fractional order differential equation for Laplace transform of a boundary functional of a semi-Markov process using inverse Laplace transform Presenter
Iben, Uwe	Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems
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Irving, Jessica C.E.	Full-Waveform Inversion and Reverse-Time Migration in Earthquake and Exploration Seismology
Iske, Meira	Data-driven regularization theory of invertible ResNets for solving inverse problems
Isozaki, Hiroshi	Inverse scattering problems for semi-linear wave equations on manifolds Continuum limit for lattice Hamiltonians Presenter Inverse problems for the graph Laplacian
Ivanyshyn Yaman, Olha	Nonlinear integral equations for 3D inverse acoustic and electromagnetic scattering Presenter
Izzo, Stefano	Speckle noise removal via learned variational models
Jacobs, Paul-Philipp	Approaches on Feature and Model Selection for high-dimensional data in Medical Research and Analysis Presenter
Jahn, Tim	Discretisation-adaptive regularisation via frame decompositions Presenter Early stopping of untrained convolutional networks Presenter
Jaiswal, Ravi Shankar	Linearized Calderon problem for biharmonic operator with partial data
Jansen, Gijsbert Simon Matthijs	Experimental progress towards time-resolved three-dimensional orbital tomography Exciton Photoemission Orbital Tomography: Probing the electron and the hole contributions Presenter Measurement and analysis strategies for EUV pump-probe spectroscopic imaging Presenter
Jathar, Shubham Ramkisan	Explicit inversion of momentum ray transform Presenter
Jenhani, Nouha	Interior transmission problems related to imaging periodic layers
Jerez-Hanckes, Carlos	Isogeometric multilevel quadrature for forward and inverse random acoustic scattering Multilevel domain UQ in computational electromagnetics
Jethwa, Prashin	Uncertainty-aware blob detection in astronomical imaging
Jiang, Daijun	Hopf lemma for fractional diffusion equations and application to inverse problem
Jin, Bangti	Beating the Saturation of the Stochastic Gradient Descent for Linear Inverse Problems Early stopping of untrained convolutional networks Imaging anisotropic conductivities from current densities Presenter Inverse Problems for Subdiffusion from Observation at an Unknown Terminal Time Presenter Recursive Update of Linearization Model Error for Conductivity Reconstruction from ICDI SGD for select inverse problems in Banach spaces Regularized, pretrained and subspace-restricted Deep Image Prior for CT reconstruction
Jin, Qinian	Stochastic mirror descent method for linear ill-posed problems in Banach spaces Presenter
Jørgensen, Jakob Sauer	Directional regularization with the Core Imaging Library for limited-angle CT in the Helsinki Tomography Challenge 2022 Bayesian approach to limited-data CT reconstruction for inspection of subsea pipes Presenter CUQIpy - Computational Uncertainty Quantification for Inverse problems in Python Presenter Material Decomposition Techniques for Spectral Computed Tomography
Juvonen, Markus	Dual-grid parameter choice method for total variation regularised image deblurring Presenter
Kaarnioja, Vesa	Quasi-Monte Carlo methods for Bayesian optimal experimental design problems governed by PDEs Presenter
Kabanikhin, Sergey	Inverse problems and deep learning in epidemiology and social processes
Kachanovska, Maryna	Galerkin Foldy-Lax asymptotic models for time-domain scattering by small particles Presenter
Kainz, Bernhard	Deep learning MR image reconstruction and task-based evaluation
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Kang, Hyeonbae	Spectrum of the Neumann-Poincaré operator on thin domains
Kar, Manas	Electromagnetic waves generated by a moving dielectric under the special relativity assumptions Presenter
Karamehmedović, Mirza	Feynman's inverse problem - an inverse problem for water waves Fourier method for inverse source problem using correlation of passive measurements
Karamehmedovic, Mirza	Optimization under uncertainty for the Helmholtz equation with application to photonic nanojets configuration Spectral properties of radiation for the Helmholtz equation with a random coefficient Presenter
Karimi, Milad	X-ray holographic imaging using intensity correlations Presenter
Karlsson, Johan	Inverse problems in imaging and information fusion via structured multimarginal optimal transport Presenter
Kashyap, Samarth Ganesh	Helioseismic inversions for active latitudes Presenter
Katsevich, Alexander	Resolution of reconstruction from discrete Radon transform data Presenter
Katz, Rami	Optimal super-resolution of close point sources and stability of Prony's method
Kawano, Alexandre	Boundary identification in cantilever beam equation related to the atomic force microscopy
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Kemajou Mbakam, Charlesquin	Maximum marginal likelihood estimation of regularisation parameters in Plug & Play Bayesian estimation: Application to non-blind and semi-blind image deconvolution Presenter
Kenis, Robin	Scalable moment relaxations for graph-structured problems with values in a manifold: An optimal transport approach Presenter
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Khan, Akhtar	An Abstract Framework for Stochastic Elliptic Inverse Problems. Presenter
Kim, Jinho	Deep learning MR image reconstruction and task-based evaluation
Kimanius, Dari	Reconstructing Molecular Flexibility in Cryogenic Electron Microscopy
Kimura, Masato	Properties of solutions for anisotropic viscoelastic systems
Kinash, Nataliia	Inverse Problems for Generalized Subdiffusion Equations Presenter
Kindermann, Stefan	Convergence Nestorov acceleration for linear ill-posed problems Presenter Multiscale hierarchical decomposition methods for ill-posed problems
Kirkeby, Adrian	Feynman's inverse problem - an inverse problem for water waves Presenter
Kitchen, Marcus J.	X-ray phase and dark-field retrieval from propagation-based images, via the Fokker-Planck Equation Zero-optics X-ray dark-field imaging using dual energies
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Klatzer, Teresa	Accelerating MCMC for imaging science by using an implicit Langevin algorithm Presenter
Kleefeld, Andreas	Interior transmission eigenvalue trajectories Presenter
Klibanov, Mikhail	Globally Convergent Convexification Method for Coefficient Inverse Problems for Three Equations Presenter Some Inverse Problems for Parabolic Equations Presenter
Klinkhammer, Chantal	Analysis of the discrepancy principle for Tikhonov regularization under low order source conditions Presenter New results for variational regularization with oversmoothing penalty term in Banach spaces
Kluth, Tobias	Data-driven regularization theory of invertible ResNets for solving inverse problems Deep Learning for Reconstruction in Nano CT Parameter identification in magnetization models for large ensembles of magnetic nanoparticles Presenter Learned post-processing approaches for nano-CT reconstruction
Knoll, Florian	Deep learning MR image reconstruction and task-based evaluation Presenter
Knopp, Tobias	Phase retrieval in the wild: In situ optimized reconstruction for X-ray in-line holography
Knudsen, Kim	Posterior consistency for Bayesian inverse Problems with piecewise constant inclusions
Kobler, Erich	Noise Estimation via Tractable Diffusion Shared Prior Learning of Energy-Based Models for Image Reconstruction
Kocurov, Benjamin	Mathematical Methods in Parallel MRI Presenter
Kodgirwar, Shantanu	Geodesic slice sampling on the sphere
Kofler, Andreas	Learning data-driven priors for image reconstruction: From bilevel optimisation to neural network-based unrolled schemes Learning Spatio-Temporal Regularization Parameter-Maps for Total Variation-Minimization Reconstruction in Dynamic Cardiac MRI Presenter
Kolbig, Silke	From Manual to Automatic: Streamlining MRI Marker Detection and Localization for Surgical Planning
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Konietzny, Sebastian	Limited-Angle Tomography Reconstruction via Deep Learning on Synthetic Data
Kothari, Konik	Joint Cryo-ET Alignment and Reconstruction with Neural Deformation Fields
Koulouri, Alexandra	Adaptive Method for Bayesian EEG/MEG Source Localization to Support Treatment of Focal Epilepsy
Kouri, Drew P.	An Inexact Trust-Region Algorithm for Nonsmooth Nonconvex Optimization
Koutsourelakis, Phaedon-Stelios	Efficient high-dimensional Bayesian multi-fidelity inverse analysis for expensive legacy solvers
Kovachki, Nikola B	Operator Learning Meets Inverse Problems
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Krainz, Lisa	An Intensity-based Inversion Method for Quasi-Static Optical Coherence Elastography Quantitative Parameter Reconstruction from Optical Coherence Tomographic Data
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Krishnan, Venkateswaran P.	Lipschitz stability for some inverse problems for a hyperbolic PDE with space and time dependent coefficients UCP and counterexamples to UCP involving generalized ray transforms Presenter
Krivorotko, Olga	Inverse problems and deep learning in epidemiology and social processes Presenter
Krupchyk, Katya	Fractional anisotropic Calderon problem on Riemannian manifolds Presenter Inverse problems for nonlinear elliptic PDE Presenter
Krüppel, Steffen	Revealing Functional Substructure of Retinal Ganglion Cell Receptive Fields Using Tomography-Based Stimulation Presenter
Kuess, Raphael	On modeling and regularization of piezoelectric inverse problems using all-at-once and reduced approaches Presenter
Kuger, Lorenz	Gamma ray imaging with bidirectional Compton cameras Presenter Gamma spectrum analysis in nuclear decommissioning Practical gamma ray imaging with monolithic scintillation detector Compton cameras Presenter
Kujanpaa, Antti	Determining a Lorentzian metric from the source-to-solution map for the relativistic Boltzmann equation
Kykkänen, Antti Kaleva	Geodesic X-ray tomography on manifolds of low regularity Presenter
Laghrib, Amine	A high order PDE-constrained optimization for the image denoising problem
Lahtinen, Joonas	Adaptive Method for Bayesian EEG/MEG Source Localization to Support Treatment of Focal Epilepsy
Lai, Ru-Yu	An Inverse Problem for Nonlinear Fractional Magnetic Schrodinger Equation Presenter Reconstruction of the doping profile in Vlasov-Poisson
Lammering, Rolf	Damage detection by guided ultrasonic waves and uncertainty quantification
Lang, Annika	Evolving surfaces driven by stochastic PDEs Presenter Surface finite element approximation of Gaussian random fields on Riemannian manifolds Presenter
Langer, Max	Deep learning for phase retrieval from Fresnel diffraction patterns Presenter
Lanza, Alessandro	Masked and Unmasked Principles for Automatic Parameter Selection in Variational Image Restoration for Poisson Noise Corruption Material Decomposition Techniques for Spectral Computed Tomography Quaternary image decomposition with cross-correlation-based multi-parameter selection
Lascar, Julia Marie	Non-stationary hyperspectral unmixing with learnt regularization Presenter
Lassas, Matti	Deep Invertible Approximation of Topologically Rich Maps between Manifolds Determining a Lorentzian metric from the source-to-solution map for the relativistic Boltzmann equation Dual-grid parameter choice method for total variation regularised image deblurring Edge preserving Random Tree Besov Priors Inverse problem for Yang-Mills-Higgs fields Inverse problems for non-linear hyperbolic equations and many-to-one scattering relations Presenter Inverse problems for the graph Laplacian Inverse scattering problems for semi-linear wave equations on manifolds Learning a sparsity-promoting regularizer for linear inverse problems Mapping properties of neural networks and inverse problems Presenter Quantum computing algorithms for inverse problems on graphs Random tree Besov priors for detail detection Reconstruction of anisotropic stiffness tensors using algebraic geometry
Latifi, Mohammad Javad	The star transform and its links to various areas of mathematics V-line tensor tomography
Laude, Emanuel	Scalable moment relaxations for graph-structured problems with values in a manifold: An optimal transport approach
Laumont, Remi	Bayesian computation with Plug & Play priors for inverse problems in imaging Presenter
Laurain, Antoine	Shape optimization approach for sharp-interface reconstructions in time-domain full waveform inversion. Presenter
Laville, Bastien	Theoretical and numerical off-the-grid curve reconstruction Presenter
Lazzaretti, Marta	Gradient descent-based algorithms for inverse problems in variable exponent Lebesgue spaces Presenter
Lazzaretti, Marta	Regularization in non-Euclidean spaces meets numerical linear algebra
Leatham, Thomas	X-ray phase and dark-field retrieval from propagation-based images, via the Fokker-Planck Equation
Leclaire, Arthur	Gradient Step and Proximal denoisers for convergent plug-and-play image restoration.
Lederman, Roy R.	Advancements and New Questions in Analysing the Geometry of Molecular Conformations in Cryo-EM Presenter Stochastic optimization for high-resolution refinement in cryo-EM
Ledger, Paul David	Advances in object characterisation for metal detection inverse problems Presenter
Lee, Hyundae	Spectral theory of surface plasmons in the nonlocal hydrodynamic Drude model Presenter
Lefeuvre, Thibault	Marked length spectrum rigidity for Anosov surfaces Presenter
Lellmann, Jan	Manifold-based Point Cloud Deformations: Theory and Applications to Protein Conformation Processing
Lemvig, Jakob	Sampling from a posterior with Besov prior
Lenti, Flavia	Regularization in non-Euclidean spaces meets numerical linear algebra
Lesnic, Daniel	Scanning biological tissues using thermal-waves Presenter
Leuschner, Johannes	Approaches to the Helsinki Tomography Challenge 2022 Deep Learning for Reconstruction in Nano CT Learned post-processing approaches for nano-CT reconstruction Presenter Regularized, pretrained and subspace-restricted Deep Image Prior for CT reconstruction Presenter
Leveque, Santolo	Parameter-Robust Preconditioning for Oseen Iteration Applied to Navier–Stokes Control Problems Presenter
Li, Housen	UNLIMITED: The UNiversal Lepskii-Inspired MInimax Tuning mEthoD Presenter
Li, Qin	Reconstruction of the doping profile in Vlasov-Poisson
Li, Weilin	Stability and super-resolution of MUSIC and ESPRIT for multi-snapshot spectral estimation Presenter
Li, Wen	Multiscale hierarchical decomposition methods for images corrupted by multiplicative noise
Li, Zhiyuan	Hopf lemma for fractional diffusion equations and application to inverse problem Presenter
Liaudat, Tobías Ignacio	Scalable Bayesian uncertainty quantification with learned convex regularisers Presenter
Lie, Han Cheng	Reduced Order Methods for Linear Gaussian Bayesian Inverse Problems on separable Hilbert Spaces Choosing observations to mitigate model error in Bayesian inverse problems
Liehr, Lukas	Phaseless sampling of the short-time Fourier transform Presenter
Liimatainen, Tony	Determining a Lorentzian metric from the source-to-solution map for the relativistic Boltzmann equation Inverse problem for the minimal surface equation and nonlinear CGO calculus in dimension 2 Presenter
Lim, Mikyoung	Recovering an elastic inclusion using the shape derivative of the elastic moment tensors Construction of inclusions with vanishing generalized polarization tensors by imperfect interfaces Numerical computation of Laplacian eigenvalues based on the layer potential formulation Presenter
Lin, Ching-Lung	Properties of solutions for anisotropic viscoelastic systems
Lin, Yi-Hsuan	Determining a nonlinear hyperbolic system with unknown sources and nonlinearity Presenter Inverse source problems for nonlinear equations Presenter
Linder-Steinlein, Kristoffer	Fourier method for inverse source problem using correlation of passive measurements Presenter Spectral properties of radiation for the Helmholtz equation with a random coefficient
Lionheart, William R.B.	Rich tomography reconstruction problems in applications. Presenter Advances in object characterisation for metal detection inverse problems
Liu, Hongyan	Acceleration strategies for Magnetic Resonance Spin Tomography in Time-Domain (MR‐STAT) reconstructions Presenter
Liu, Meng	Passive inverse obstacle scattering problems
Liu, Ping	A Mathematical Theory of Computational Resolution Limit and Super-resolution Presenter A mathematical theory of resolution limits for dynamic super-resolution in particle tracking problems Presenter
Liu, Qiancheng	Full-Waveform Inversion and Reverse-Time Migration in Earthquake and Exploration Seismology
Liu, Xiaodong	Inverse scattering problems with incomplete data Presenter
Liu, Xiaoli	An Accelerated Level-Set Method for Inverse Scattering Problems Presenter
Liu, Xinyu	A Parameter Identification Algorithm for Gaussian Mixture Models Presenter
Liu, Zhaolun	Full-Waveform Inversion and Reverse-Time Migration in Earthquake and Exploration Seismology
Lohse, Leon Merten	Phase retrieval beyond the homogeneous object approximation in X-ray holographic imaging
Loli Piccolomini, Elena	Medical image reconstruction in realistic scenarios: what to do if the ground-truth is missing?
Lorenz, Dirk A.	Damage detection by guided ultrasonic waves and uncertainty quantification Presenter Quadratic regularization of optimal transport problems Presenter Proximal point algorithm in spaces with semidefinite inner product
Loris, Ignace	Convergence analysis of optimization-by-continuation algorithms Presenter
Louati, Moez	Imaging water supply pipes using pressure waves
Lu, Jinpeng	Inverse problems for the graph Laplacian Presenter Quantum computing algorithms for inverse problems on graphs
Lu, Peimin	Some progresses in Carleman estimates and their applications in inverse problems for stochastic partial differential equations
Lucht, Jens	New approaches for reconstruction in dynamic nano-CT imaging Phase retrieval beyond the homogeneous object approximation in X-ray holographic imaging Presenter
Lucka, Felix	Joint Born Inversion of Acoustic and Electromagnetic Wave fields Learned iterative model-based approaches in quantitative photoacoustic tomography Photoacoustic and Ultrasonic Tomography for Breast Imaging Presenter
Luke, D Russell	Experimental progress towards time-resolved three-dimensional orbital tomography Regularization by Randomization: The Case of Partially Separable Optimization Presenter
Luo, Guanxiong	Bayesian MRI reconstruction with joint uncertainty estimation using diffusion priors Presenter Deep Learning Approaches for Non-Linear Inverse Problems in MRI Reconstruction
Lütjen, Tom	Learned post-processing approaches for nano-CT reconstruction
Maass, Peter	The Power of Patches for Training Normalizing Flows Data-driven regularization theory of invertible ResNets for solving inverse problems
Maass, Peter	Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems
Maaß, Peter	Regularized, pretrained and subspace-restricted Deep Image Prior for CT reconstruction
Maboudi Afkham, Babak	How to sample from a posterior like you sample from a prior Presenter
Maes, Frederick	Uniqueness of determining a space-dependent source for inverse source problems in thermoelasticity Presenter
Mahale, Pallavi	Iterative regularization methods for non-linear ill-posed operator equations in Banach spaces Presenter
Mahler, Hinrich	Quadratic regularization of optimal transport problems
Maity, Ruma Rani	Optimizing electrode positions in electrical impedance tomography for head imaging Presenter
Mamonov, Alexander	Reduced order model approach for active and passive imaging with waves
Manninen, Anssi	Learned iterative model-based approaches in quantitative photoacoustic tomography Presenter
Manns, Paul	Quadratic regularization of optimal transport problems
Mantile, Andrea	Inverse wave scattering in the time domain Time domain analysis of body resonant-modes for classical waves Presenter
Marin, Liviu	Identification of the time-dependent part of a heat source in thermoelasticity
Marquardt, Jannis	Proximal point algorithm in spaces with semidefinite inner product
Marshall, Nicholas	Fast Principal Component Analysis for Cryo-EM Images
Mathias, Stefan	Experimental progress towards time-resolved three-dimensional orbital tomography Measurement and analysis strategies for EUV pump-probe spectroscopic imaging
McEwen, Jason D.	Scalable Bayesian uncertainty quantification with learned convex regularisers
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Mehanda, Wiryawan	Learned Solvers for Forward and Backward Image Flow Schemes
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Melidonis, Savvas	Efficient Bayesian computation for low-photon imaging problems Presenter
Melnyk, Oleh	Gradient Methods for Blind Ptychography Presenter
Mendoza, Emil	Regularized Maximum Likelihood Estimation for the Random Coefficients Model
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Menzel, Marion I.	An Optimal Transport-based approach to Total-Variation regularization for the Diffusion MRI problem
Meth, Kristina	$L^1$-data fitting for Inverse Problems with subexponentially-tailed data Presenter
Meyer, Christian	Quadratic regularization of optimal transport problems
Mi, Puyuan	Recursive Update of Linearization Model Error for Conductivity Reconstruction from ICDI Presenter
Michel, Volker	Non-unique Inversions in Earth Sciences - an Underestimated Pitfall? Presenter
Mickan, Philipp Ronald	Logarithmic stability and instability estimates for random inverse source problems Presenter
Mickelin, Oscar	Autocorrelation analysis for cryo-EM with sparsifying priors Presenter Fast Principal Component Analysis for Cryo-EM Images
Miha, Fuderer	Acceleration strategies for Magnetic Resonance Spin Tomography in Time-Domain (MR‐STAT) reconstructions
Mikhaylenko, Andrey	Damage detection by guided ultrasonic waves and uncertainty quantification
Militzer, Burkhard	Improving our Understanding of Jupiter’s and Saturn’s Interior Structure Presenter
Millien, Pierre	Super-localisation of a point-like emitter in a resonant environment : correction of the mirage effect Presenter
Mindrinos, Leonidas	Solving Cauchy problems using semi-discretization techniques and BIE Presenter The direct and inverse scattering problem of obliquely incident electromagnetic waves by an inhomogeneous infinitely long cylinder
Mirouh, Giovanni M	Mode identification in rapidly-rotating stars: paving the way to inverse methods Presenter
Mishra, Rohit Kumar	Inversion of a restricted transverse ray transform on symmetric $m$-tensor fields in $\mathbb{R}^3$ Presenter V-line tensor tomography X-ray mapping properties and degenerately elliptic operators
Mokrytska, Daria	Accurate asteroseismic surface rotation rates for evolved red giants
Mokso, Rajmund	Time resolved and multi-resolution tomographic reconstruction strategies in practice. Presenter
Molinari, Cesare	Implicit regularization via re-parametrization Presenter
Mom, Kannara	Deep learning for phase retrieval from Fresnel diffraction patterns
Monard, Francois Sylvain	X-ray mapping properties and degenerately elliptic operators Mapping properties and functional relations for the hyperbolic X-ray transform Presenter
Monk, Peter	A new family of modified interior transmission eigenvalues for a fluid-solid interaction Target Signatures for Thin Surfaces Presenter
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Pierotti, Dario	On the identification of cavities in a nonlinear diffusion-reaction model arising from cardiac electrophysiology
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Pricop-Jeckstadt, Mihaela	Adaptive estimation of $\alpha-$generalized random fields for statistical linear inverse problems with repeated measurements Presenter
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Qiu, Lingyun	Lipschitz Stability of Recovering the Conductivity from Internal Current Densities
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Rabbani, Hossein	Combining Non-Data-Adaptive Transforms For OCT Image Denoising By Iterative Basis Pursuit
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Rampp, Stefan	Combined EEG/MEG source analysis for reconstructing the epileptogenic zone in focal epilepsy
Rasmussen, Aksel	Posterior consistency for Bayesian inverse Problems with piecewise constant inclusions
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Ray, Kolyan	Bayesian estimation in a multidimensional diffusion model with high frequency data Presenter
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Reale, Marco	Regularized Maximum Likelihood Estimation for the Random Coefficients Model
Recoquillay, Arnaud	Inverse scattering in a partially embedded waveguide
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Reich, Sebastian	Frequentist Ensemble Kalman Filter
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Riis, Nicolai A. B.	CUQIpy - Computational Uncertainty Quantification for Inverse problems in Python Edge-Preserving Tomographic Reconstruction with Uncertain View Angles
Ringh, Axel	Inverse problems in imaging and information fusion via structured multimarginal optimal transport
Robine, Jan	Limited-Angle Tomography Reconstruction via Deep Learning on Synthetic Data
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Roininen, Lassi	Advancements of $\alpha$-stable priors for Bayesian inverse problems Edge-preserving inversion with $\alpha$-stable priors Edge-preserving inversion with heavy-tailed Bayesian neural networks priors
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Romero, Francisco	Sparse optimization algorithms for dynamic imaging
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Rosasco, Lorenzo	From inexact optimization to learning via gradient concentration
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Rudolf, Daniel	Geodesic slice sampling on the sphere Gibbsian Polar Slice Sampling
Ruiz, Matias	Spectral theory of surface plasmons in the nonlocal hydrodynamic Drude model
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Salo, Mikko	The linearized Calderon problem for polyharmonic operators
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Schönfeld, Fabian	Learned post-processing approaches for nano-CT reconstruction
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Sgallari, Fiorella	Masked and Unmasked Principles for Automatic Parameter Selection in Variational Image Restoration for Poisson Noise Corruption
Sherina, Ekaterina	An Intensity-based Inversion Method for Quasi-Static Optical Coherence Elastography Presenter
Shi, Cheng	Recontructing Interactions from Dynamics
Shi, Cong	Photoacoustic imaging in acoustic attenuating media
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Shi, Yunpeng	Fast Principal Component Analysis for Cryo-EM Images Presenter
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Simons, Frederik J	Efficient Parameter Estimation of Sampled Random Fields Presenter Full-Waveform Inversion and Reverse-Time Migration in Earthquake and Exploration Seismology Presenter
Singer, Amit	Fast Principal Component Analysis for Cryo-EM Images High Dimensional Covariance Estimation in Cryo-EM
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Sixou, Bruno	Deep learning for phase retrieval from Fresnel diffraction patterns
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Solna, Knut	Three-dimensional random wave coupling along a boundary with scaling representative of Mars' crust, and an associated inverse problem
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Steil, Sabine	Experimental progress towards time-resolved three-dimensional orbital tomography
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Strauch, Hannah	Measurement and analysis strategies for EUV pump-probe spectroscopic imaging
Stuart, Andrew M	Operator Learning Meets Inverse Problems
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Sun, Weiran	Reconstruction of the doping profile in Vlasov-Poisson Presenter
Suuronen, Jarkko	Advancements of $\alpha$-stable priors for Bayesian inverse problems Edge-preserving inversion with $\alpha$-stable priors
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Szwillus, Wolfgang	Transdimensional joint inversion of gravity and surface wave phase velocities Presenter
Takase, Hiroshi	Lipschitz stability for inverse source problems of waves on Lorentzian manifolds Presenter
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Tan, Zhengguo	Deep learning MR image reconstruction and task-based evaluation
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Verani, Marco	On the identification of cavities and inclusions in linear elasticity with a phase-field approach
Verdun, Claudio	An Optimal Transport-based approach to Total-Variation regularization for the Diffusion MRI problem
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Verschuur, Dirk J.	Joint Born Inversion of Acoustic and Electromagnetic Wave fields
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Voigtlaender, Felix	Optimal learning of high-dimensional classification problems using deep neural networks Presenter
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Wall, Wolfgang A.	Efficient high-dimensional Bayesian multi-fidelity inverse analysis for expensive legacy solvers
Walter, Daniel	Asymptotic linear convergence of fully-corrective generalized conditional gradient methods Sparse optimization algorithms for dynamic imaging
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Wang, Jenn-Nan	Refined instability estimates for two inverse problems Presenter
Wang, Sven	Laplace priors and spatial inhomogeneity in Bayesian inverse problems Presenter
Wang, Xiaoyu	A lifted Bregman formulation for the inversion of deep neural networks
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Wardetzky, Max	Geometric regularization in three-dimensional inverse obstacle scattering
Waters, Alden	Hybrid Inverse Problems for Nonlinear Elasticity Presenter
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Wei, Ke	Vectorized Hankel Lift: A Convex Approach for Blind Super-Resolution of Point Sources Presenter
Weiser, Martin	A primal dual projection algorithm for efficient constraint preconditioning
Weiss, Pierre	Learning Fourier sampling schemes for MRI by density optimization
Wellmer, Jörg	Combined EEG/MEG source analysis for reconstructing the epileptogenic zone in focal epilepsy
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Wittig, Marcus	Deceptive performance of artificial neural networks in semantic segmentation tasks on the example of lung delineation Presenter
Wittwer, Felix	Phase retrieval framework for direct reconstruction of the projected refractive index applied to ptychography and holography
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Wolters, Carsten H.	Adaptive Method for Bayesian EEG/MEG Source Localization to Support Treatment of Focal Epilepsy Combined EEG/MEG source analysis for reconstructing the epileptogenic zone in focal epilepsy Presenter
Xiao, Jingni	Always-Scattering, Non-Scattering, and Inverse Scattering
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Xu, Xiang	On inverse problems for piezoelectric equations
Yang, Guang	Some inverse problems on graphs with internal functionals
Yang, Ruiyi	Inverse problems on manifolds via graph-based semi-supervised learning
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Ying, Yiming	Stability and Generalization for Stochastic Gradient Methods Presenter
Ylinen, Lauri	Quantum computing algorithms for inverse problems on graphs Presenter
Yoshihisa, Miyanishi	Spectrum of the Neumann-Poincaré operator on thin domains
Yu, Sanhyeon	Spectral theory of surface plasmons in the nonlocal hydrodynamic Drude model
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Zahm, Olivier	Certified Coordinate Selection for large-dimensional Bayesian Inversion Coupled Parameter and Data Dimension Reduction for Bayesian Inference
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Zhong, Yimin	Imaging with two-photon absorption optics Presenter Imaging with two-photon absorption optics Presenter
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Zhou, Zehui	Beating the Saturation of the Stochastic Gradient Descent for Linear Inverse Problems Presenter
Zilberberg, Dana	A duality between scattering poles and transmission eigenvalues in scattering theory
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Zimmermann, Felix	Learning data-driven priors for image reconstruction: From bilevel optimisation to neural network-based unrolled schemes
Zimmermann, Felix Frederik	Learning Spatio-Temporal Regularization Parameter-Maps for Total Variation-Minimization Reconstruction in Dynamic Cardiac MRI
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Zou, Jun	Beating the Saturation of the Stochastic Gradient Descent for Linear Inverse Problems
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Zouari, Fedi	Imaging water supply pipes using pressure waves
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