| Paganin, David | Advanced Reconstruction and Phase Retrieval in Nano X-ray Tomography |
| Paixão, João | Inverse Acoustic and Electromagnetic Scattering Theory - 30 years later |
| Palacios, Benjamin | Inverse Problems of Transport Equations and Related Topics Presenter |
| Palafox González, Abel | Contributed talks |
| Pallikarakis, Nikolaos | Eigenvalues in inverse scattering |
| Pan, Liming | Inverse Problems on Graphs and Machine Learning |
| Panathale Bheemaiah, Suma | Contributed talks Presenter |
| Pankka, Pekka | Inverse Problems on Graphs and Machine Learning |
| Papadakis, Nicolas | Learned Regularization for Solving Inverse Problems |
| Papafitsoros, Kostas | Hyperparameter estimation in imaging inverse problems: recent advances on optimisation-based, learning and statistical approaches Presenter
Mathematics and Magnetic Resonance Imaging |
| Papoutsellis, Evangelos | Advances in limited-data X-ray tomography
Mathematics and Magnetic Resonance Imaging
Hyperparameter estimation in imaging inverse problems: recent advances on optimisation-based, learning and statistical approaches |
| Park, Won-Kwang | Integral Operators in Potential Theory and Applications Presenter |
| Parzer, Fabian | Wave propagation and quantitative tomography Presenter |
| Pasca, Edoardo | Advances in limited-data X-ray tomography Presenter |
| Paternain, Gabriel | Integral geometry, rigidity and geometric inverse problems
Integral geometry, rigidity and geometric inverse problems
Plenary lecture |
| Patrinos, Panagiotis | Optimization in Inverse Scattering: from Acoustics to X-rays |
| Pavlov, Konstantin M. | Advanced Reconstruction and Phase Retrieval in Nano X-ray Tomography
Imaging with Non-Linear Measurements: Tomography and Reconstruction from Phaseless or Folded Data |
| Pearson, John | Fast optimization-based methods for inverse problems |
| Pelt, Daan | Advanced Reconstruction and Phase Retrieval in Nano X-ray Tomography |
| Pereverzyev, Sergei | Numerical meet statistical methods in inverse problems Presenter
Regularization for Learning from Limited Data: From Theory to Medical Applications
Statistical inverse problems: regularization, learning and guarantees Presenter |
| Pereverzyev, Sergei V. | Compressed Sensing meets Statistical Inverse Learning
Regularization for Learning from Limited Data: From Theory to Medical Applications |
| Pereverzyev Jr., Sergiy | Regularization for Learning from Limited Data: From Theory to Medical Applications Presenter |
| Pereyra, Marcelo | Contributed talks
Contributed talks
Edge-preserving uncertainty quantification for imaging
Inverse Problems in radiation protection and nuclear safety
Machine Learning Techniques for Bayesian Inverse Problems
Quantifying uncertainty for learned Bayesian models |
| Petit, Romain | Theory and algorithms of super-resolution in imaging and inverse problems
Theory and algorithms of super-resolution in imaging and inverse problems Presenter |
| Petrak, Sibylle | Inverse Problems in radiation protection and nuclear safety Presenter |
| Petrakova, Viktoriya | Contributed talks |
| Pham, Ha | Poster Session |
| Philidet, Jordan | Inverse eigenvalue problems in astrophysics Presenter |
| Piccialli, Francesco | Hyperparameter estimation in imaging inverse problems: recent advances on optimisation-based, learning and statistical approaches |
| Pieronek, Lukas | Eigenvalues in inverse scattering
Parameter identification in time dependent partial differential equations Presenter |
| Pierotti, Dario | Parameter identification in time dependent partial differential equations |
| Pietschmann, Jan-F. | Optimal Transport meets Inverse Problems Presenter |
| Pinetz, Thomas | Learned Regularization for Solving Inverse Problems |
| Plato, Robert | Advances in regularization for some classes of nonlinear inverse problems
Advances in regularization for some classes of nonlinear inverse problems Presenter |
| Plonka, Gerlind | Poster Session |
| Pock, Thomas | Hyperparameter estimation in imaging inverse problems: recent advances on optimisation-based, learning and statistical approaches
Learned Regularization for Solving Inverse Problems
Quantifying uncertainty for learned Bayesian models
Quantifying uncertainty for learned Bayesian models |
| Pohjola, Ilmari | Poster Session |
| Poon, Clarice | Compressed Sensing meets Statistical Inverse Learning Presenter
Theory and algorithms of super-resolution in imaging and inverse problems Presenter |
| Posilicano, Andrea | Inverse Problems in Time-Domain Imaging at the Small Scales Presenter
Inverse Problems in Time-Domain Imaging at the Small Scales |
| Potthast, Roland | Inverse Acoustic and Electromagnetic Scattering Theory - 30 years later Presenter |
| Pragiola, Monica | Advances in limited-data X-ray tomography |
| Pragliola, Monica | Hyperparameter estimation in imaging inverse problems: recent advances on optimisation-based, learning and statistical approaches
Hyperparameter estimation in imaging inverse problems: recent advances on optimisation-based, learning and statistical approaches Presenter |
| Pricop-Jeckstadt, Mihaela | Contributed talks Presenter |
| Prohaszka, Thomas | Scattering and spectral imaging: inverse problems and algorithms |
| Protonotarios, Nicholas E. | Wave propagation and quantitative tomography Presenter |
| Pulkkinen, Aki | Contributed talks
Numerical meet statistical methods in inverse problems |
| Pursiainen, Sampsa | Contributed talks
Poster Session Presenter |
| Puschnig, Peter | Experimental and Algorithmic Progress in Photoemission Orbital Imaging Presenter |
| Puthawala, Michael | Inverse Problems on Graphs and Machine Learning Presenter
Learned reconstructions for nonlinear inverse problems |
