Preliminary Program
The conference will start on Sunday, September 3 at 6:00 pm with registration and an ice breaker reception. The scientific program will start on Monday, September 4, 2023 at 9:15 am and end on Friday, September 8, 2023 at 6:00 pm.
Here you find an overview of the entire social program.
List of Minisymposia
MS01 Machine Learning for Inverse Problems in Medical Imaging
Flemming, Jens; Fiedler, Christian
MS02 Advances in regularization for some classes of nonlinear inverse problems
Hofmann, Bernd; Plato, Robert
MS03 Compressed Sensing meets Statistical Inverse Learning
Bubba, Tatiana, A.; Ratti, Luca; Santacesaria, Matteo
MS04 Statistical and computational aspects of non-linear inverse problems
Nickl, Richard; Wang, Sven
MS05 Numerical meet statistical methods in inverse problems
Hanke, Martin; Reiss, Markus; Werner, Frank
MS06 Inverse Acoustic and Electromagnetic Scattering Theory - 30 years later
Cakoni, Fioralba; Haddar, Houssem
MS07 Regularization for Learning from Limited Data: From Theory to Medical Applications
Zellinger, Werner; Holzleitner, Markus; Pereverzyev, Sergei
MS08 Integral Operators in Potential Theory and Applications
Choi, Doosung; Lim, Mikyoung; Shipman, Stephen P.
MS09 Forward and inverse domain uncertainty quantification
Kaarnioja, Vesa; Schilings, Claudia
MS10 Optimization in Inverse Scattering: from Acoustics to X-rays
Bot, Radu; Luke, Russell
MS11 Defying the Curse of Dimensionality – Theory and Algorithms for Large Dimensional Bayesian Inversion
Flock, Rafael; Dong, Yiqiu; Zahm, Oliver
MS12 Fast optimization-based methods for inverse problems
Jensen, Bjørn; Valkonen, Tuomo
MS13 Stochastic iterative methods for inverse problems
Bungert, Leon; Jahn, Tim
MS14 Inverse Modelling with Applications
Lesnic, Daniel; Van Bockstal, Karel
MS15 Experimental and Algorithmic Progress in Photoemission Orbital Imaging
Luke, Russell; Mathias, Stefan
MS16 Wave propagation and quantitative tomography
Mindrinos, Leonidas; Veselka, Leopold
MS17 Machine learning techniques for Bayesian inverse problems
Senchukova, Angelina; de Wiljes, Jana
MS18 Inverse problems for fractional and nonlocal equations
Lin, Yi-Hsuan; Railo, Jesse; Salo, Mikko
MS19 Theory and algorithms of super-resolution in imaging and inverse problems
Ammari, Habib; Liu, Ping; Zhang, Hai
MS20 Recent advances in inverse problems for elliptic and hyperbolic equations
Lai, Ru-Yu; Yan, Lili
MS21 Prior Information in Inverse Problems
Dong, Yiqiu; Horst, Andreas; Lemvig, Jakob
MS22 Imaging with Non-Linear Measurements: Tomography and Reconstruction from Phaseless or Folded Data
Beckmann, Matthias; Beinert, Robert; Quellmalz, Michael
MS23 Recent developments in reconstruction methods for inverse scattering and electrical impedance tomography
Griesmaier, Roland; Hyvönen,Nuutti
MS24 Learned Regularization for Solving Inverse Problems
Hertrich, Johannes; Neumayer, Sebastian
MS25 Hyperparameter estimation in imaging inverse problems: recent advances on optimisation-based, learning and statistical approaches
Calatroni, Luca; Lanza, Alessandro; Pragliola, Monica
MS26 Trends and open problems in cryo electron microscopy
Esteve-Yagüe, Carlos; Schwab, Johannes
MS27 Emerging methods and applications in electromagnetic inverse problem
Kang, Sangwoo; Park, Won-Kwang
MS28 Modelling and optimisation in non-Euclidean settings for inverse problems
Calatroni, Luca; Estatico, Claudio; Lorenz, Dirk; Resmerita, Elena
MS29 Eigenvalues in inverse scattering
Halla, Martin; Monk, Peter
MS30 Inverse Problems on Graphs and Machine Learning
Blåsten, Emilia; Lassas, Matti; Lu, Jinpeng
MS31 Inverse Problems in Elastic Media
Aspri, Andrea; Sherina, Ekaterina
MS32 Parameter identification in time dependent partial differential equations
Kaltenbacher, Barbara; Rundell, William
MS33 Quantifying uncertainty for learned Bayesian models
Betcke, Marta; Holler, Martin
MS34 Learned reconstructions for nonlinear inverse problems
Arridge, Simon; Hauptmann, Andreas; Öktem, Ozan
MS35 Edge‐preserving uncertainty quantification for imaging
Jørgensen, Jakob Sauer; Alghamdi, Amal; Riis, Nicolai
MS36 Advances in limited-data X.ray tomography
Jørgensen, Jakob Sauer ; Siltanen, M. Samuli
MS37 Passive imaging in terrestrial and extra-terrestrial seismology
Faucher, Florian; Fournier, Damien
MS38 Inverse eigenvalue problems in astrophysics
Gehan, Charlotte; Fournier, Damien
MS39 Statistical inverse problems: regularization, learning and guarantees
Knudsen, Kim; Rastogi, Abhishake
MS40 Dynamic Imaging
Elbau, Peter; Kirisits, Clemens
MS41 Geomathematics
Ilmavirta, Joonas; Saksala, Teemu
MS42 Inverse Problems with Anisotropy
Knudsen, Kim
MS43 Inverse Problems in radiation protection and nuclear safety
Burger, Martin; Kuger, Lorenz; Siltanen, Samuli
MS44 Modelling in Earth and planetary sciences by data inversion at various scales
Gerhards, Christian; Michel, Volker; Simons, Frederik J.
MS45 Optimal Transport meets Inverse Problems
Carioni, Marcello; Pietschmann, Jan-Frederik; Schlottbom, Matthias
MS46 Inverse problems for nonlinear equations
Lassas, Matti; Oksanen, Lauri; Tyni, Teemu
MS47 Scattering and spectral imaging: inverse problems and algorithms
Quinto, Todd; Rigaud, Gaël
MS48 Robustness and reliablity of Deep Learning for noisy medical imaging
Benfenati, Alessandro; Morotti, Elena
MS49 Applied parameter identification in physics
Nguyen, Tram Thi Ngoc; Wald, Anne
MS50 Mathematics and Magnetic Resonance Imaging
Bredies, Kristian; Clason, Christian; Uecker, Martin
MS51 Analysis, numerical computation, and uncertainty quantification for stochastic PDE-based inverse problems
Karamehmedović, Mirza; Triki, Faouzi
MS52 Integral geometry, rigidity and geometric inverse problems
Monard, François; Stefanov, Plamen