Cover Image

Addendum on data driven regularization by projection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hanke, Martin, Scherzer, Otmar
Format:	Preprint
Published:	2025
Subjects:	Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Raster Scan Diffraction Tomography
by: Elbau, Peter, et al.
Published: (2026)

Spectral Function Space Learning and Numerical Linear Algebra Networks for Solving Linear Inverse Problems
by: Aspri, Andrea, et al.
Published: (2024)

Diffraction Tomography for a Generalized Incident Field
by: Kirisits, Clemens, et al.
Published: (2024)

Neural operators for solving nonlinear inverse problems
by: Scherzer, Otmar, et al.
Published: (2025)

Neural network parametrized level sets for image segmentation
by: Scherzer, Otmar, et al.
Published: (2026)

Vertex characterization via second-order topological derivatives
by: Gangl, Peter, et al.
Published: (2024)

Motion Detection in Diffraction Tomography by Common Circle Methods
by: Quellmalz, Michael, et al.
Published: (2022)

Inverse Problems of Trapped Objects
by: Elbau, Peter, et al.
Published: (2019)

A multi-level algorithm for the solution of moment problems
by: Scherzer, Otmar, et al.
Published: (1999)

Using the Transport of Intensity and the Transport of Phase Equation for Phase Retrieval
by: Kirisits, Clemens, et al.
Published: (2024)

Quadratic neural networks for solving inverse problems
by: Frischauf, Leon, et al.
Published: (2023)

Classification with neural networks with quadratic decision functions
by: Frischauf, Leon, et al.
Published: (2024)

Computational inverse scattering with internal sources: a reproducing kernel Hilbert space approach
by: Dong, Yakun, et al.
Published: (2024)

Data-driven Morozov regularization of inverse problems
by: Haltmeier, Markus, et al.
Published: (2023)

Strong convergence and temporal-spatial regularity for tamed Euler approximations of Lévy-driven SDEs
by: Ding, Yan, et al.
Published: (2026)

Factorization method with one plane wave: from model-driven and data-driven perspectives
by: Ma, Guanqiu, et al.
Published: (2021)

On the data-driven description of lattice materials mechanics
by: Ben-Yelun, Ismael, et al.
Published: (2023)

A randomized progressive iterative regularization method for data fitting problems
by: Cen, Dakang, et al.
Published: (2025)

Weighted total variation regularization for inverse problems with significant null spaces
by: Burger, Martin, et al.
Published: (2025)

Towards finite element exterior calculus on manifolds: commuting projections, geometric variational crimes, and approximation errors
by: Licht, Martin W.
Published: (2023)

Waveform inversion with a data driven estimate of the internal wave
by: Borcea, Liliana, et al.
Published: (2022)

Filtered data based estimators for stochastic processes driven by colored noise
by: Pavliotis, Grigorios A., et al.
Published: (2023)

Weighting operators for sparsity regularization
by: Elvetun, Ole Løseth, et al.
Published: (2025)

(Empirical) Gramian-based dimension reduction for stochastic differential equations driven by fractional Brownian motion
by: Jamshidi, Nahid, et al.
Published: (2023)

Spotlight inversion by orthogonal projections
by: Calvetti, Daniela, et al.
Published: (2025)

Phase retrieval by iterated projections
by: Elser, Veit
Published: (2001)

Deep orthogonal decomposition: a continuously adaptive data-driven approach to model order reduction
by: Franco, Nicola Rares, et al.
Published: (2024)

Preserving Lagrangian structure in data-driven reduced-order modeling of large-scale dynamical systems
by: Sharma, Harsh, et al.
Published: (2022)

Sinh regularized Lagrangian nonuniform sampling series
by: Jiang, Haixin, et al.
Published: (2026)

Convergent analysis of algebraic multigrid method with data-driven parameter learning for non-selfadjoint elliptic problems
by: Zhang, Juan, et al.
Published: (2024)

Pressure beneath a periodic travelling water-wave in constant-vorticity flow over a flat bed
by: Constantin, Adrian, et al.
Published: (2026)

Solving the inverse Source Problems for wave equation with final time measurements by a data driven approach
by: Gu, Qiling, et al.
Published: (2025)

Stable nodal projection method on octree grids
by: Blomquist, Matthew, et al.
Published: (2023)

Reduced projection method for photonic moiré lattices
by: Gao, Zixuan, et al.
Published: (2023)

Gaussian process approach within a data-driven POD framework for fluid dynamics engineering problems
by: Ortali, Giulio, et al.
Published: (2020)

Regularity of vector fields with piecewise regular curl and divergence
by: Melenk, Jens Markus, et al.
Published: (2024)

On low-dimensional approximation of function spaces of interior regularity
by: Aziz, S., et al.
Published: (2025)

Stochastic asymptotical regularization for nonlinear ill-posed problems
by: Long, Haie, et al.
Published: (2022)

Optimized filter functions for filtered back projection reconstructions
by: Beckmann, Matthias, et al.
Published: (2024)

New error estimates of the weighted $L^2$ projections
by: Hu, Qiya, et al.
Published: (2026)