Session Overview | |
Location: VG0.111 |
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1:30pm - 3:30pm |
MS25 1: Hyperparameter estimation in imaging inverse problems: recent advances on optimisation-based, learning and statistical approaches Location: VG0.111 Chair: Luca Calatroni Chair: Monica Pragliola Automatic Differentiation of Fixed-Point Algorithms for Structured Non-smooth Optimization Learning data-driven priors for image reconstruction: From bilevel optimisation to neural network-based unrolled schemes Learned proximal operators in accelerated unfolded methods with pseudodifferential operators Masked and Unmasked Principles for Automatic Parameter Selection in Variational Image Restoration for Poisson Noise Corruption |
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4:00pm - 6:00pm |
MS45 1: Optimal Transport meets Inverse Problems Location: VG0.111 Chair: Marcello Carioni Chair: Jan-F. Pietschmann Chair: Matthias Schlottbom Efficient adversarial regularization for inverse problems Data Driven Gradient Flows The quadratic Wasserstein metric for inverse data matching Quadratic regularization of optimal transport problems |
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9:00am - 11:00am |
MS45 2: Optimal Transport meets Inverse Problems Location: VG0.111 Chair: Marcello Carioni Chair: Jan-F. Pietschmann Chair: Matthias Schlottbom Inverse problems in imaging and information fusion via structured multimarginal optimal transport Wasserstein PDE G-CNN An Optimal Transport-based approach to Total-Variation regularization for the Diffusion MRI problem A game-based approach to learn interaction rules for systems of rational agents |
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1:30pm - 3:30pm |
MS16 1: Wave propagation and quantitative tomography Location: VG0.111 Chair: Leonidas Mindrinos Chair: Leopold Veselka Phase-contrast THz-CT for non-destructive testing Diffraction tomography for a generalized incident beam wave Bias-free localizations in cryo-single molecule localization microscopy Uncertainty-aware blob detection in astronomical imaging |
4:00pm - 6:00pm |
MS16 2: Wave propagation and quantitative tomography Location: VG0.111 Chair: Leonidas Mindrinos Chair: Leopold Veselka Source Reconstruction from Partial Boundary Data in Radiative Transport Solving Cauchy problems using semi-discretization techniques and BIE Quantitative Parameter Reconstruction from Optical Coherence Tomographic Data Augmented total variation regularization in imaging inverse problems |
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1:30pm - 3:30pm |
MS13 1: Stochastic iterative methods for inverse problems Location: VG0.111 Chair: Tim Jahn Beating the Saturation of the Stochastic Gradient Descent for Linear Inverse Problems Early stopping of untrained convolutional networks Stochastic mirror descent method for linear ill-posed problems in Banach spaces Early stopping for spectral filter estimators regularized by projection |
4:00pm - 6:00pm |
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 |