Cover Image

Equivariant Neural Networks for Indirect Measurements

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Beckmann, Matthias, Heilenkötter, Nick
Format:	Preprint
Published:	2023
Subjects:	Numerical Analysis Information Theory Functional Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sparse Recovery for Overcomplete Frames: Sensing Matrices and Recovery Guarantees
by: Chen, Xuemei, et al.
Published: (2024)

Stability in Phase Retrieval: Characterizing Condition Numbers and the Optimal Vector Set
by: Xia, Yu, et al.
Published: (2024)

Stochastic Generalized Sampling
by: Finotti, Luca, et al.
Published: (2026)

On an Analytical Inversion Formula for the Modulo Radon Transform
by: Beckmann, Matthias, et al.
Published: (2024)

Max-Normalized Radon Cumulative Distribution Transform for Limited Data Classification
by: Beckmann, Matthias, et al.
Published: (2024)

Noisy nonlinear information and entropy numbers
by: Krieg, David, et al.
Published: (2025)

Optimal Frames for Phase Retrieval from Edge Vectors of Optimal Polygons
by: Xu, Zhiqiang, et al.
Published: (2025)

How Regularization Terms Make Invertible Neural Networks Bayesian Point Estimators
by: Heilenkötter, Nick
Published: (2025)

Fourier-Domain Inversion for the Modulo Radon Transform
by: Beckmann, Matthias, et al.
Published: (2023)

Normalized Radon Cumulative Distribution Transforms for Invariance and Robustness in Optimal Transport Based Image Classification
by: Beckmann, Matthias, et al.
Published: (2025)

Generalizations of the Normalized Radon Cumulative Distribution Transform for Limited Data Recognition
by: Beckmann, Matthias, et al.
Published: (2025)

Quantitative Stability and Numerical Resolution of the Moment Measure Problem
by: Bonnet, Guillaume, et al.
Published: (2026)

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

The condition number of a random banded Toeplitz matrix is typically large
by: Manrique, Paulo
Published: (2026)

Weighted Riemannian Optimization for Solving Quadratic Equations from Gaussian Magnitude Measurements
by: Cai, Jianfeng, 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)

On the Uniqueness of Solutions in GPS Source Localization: Distance and Squared-Distance Minimization under Limited Measurements in Two and Three Dimensions
by: Kwon, Kiwoon
Published: (2026)

Finite Samples for Shallow Neural Networks
by: Xia, Yu, et al.
Published: (2025)

Non-Asymptotic Stability and Consistency Guarantees for Physics-Informed Neural Networks via Coercive Operator Analysis
by: Katende, Ronald
Published: (2025)

Continuous Approach to Phase (Norm) Retrieval Frames
by: Farshchian, Ramin, et al.
Published: (2025)

A Kernel-based Stochastic Approximation Framework for Nonlinear Operator Learning
by: Yang, Jia-Qi, et al.
Published: (2025)

Which Spaces can be Embedded in $L_p$-type Reproducing Kernel Banach Space? A Characterization via Metric Entropy
by: Lu, Yiping, et al.
Published: (2024)

The Fourier Ratio: A Unifying Measure of Complexity for Recovery, Localization, and Learning
by: Burstein, Will, et al.
Published: (2026)

BGG sequences with weak regularity and applications
by: Čap, Andreas, et al.
Published: (2022)

Asymptotically proved numerical coupling of a 2D flexural porous plate with the 3D Stokes fluid
by: Krier, Maxime, et al.
Published: (2023)

Sampling discretization of the uniform norm and applications
by: Kosov, E. D., et al.
Published: (2023)

Rate of convergence of Thresholding Greedy Algorithms
by: Temlyakov, V. N.
Published: (2023)

Sparse sampling recovery by greedy algorithms
by: Temlyakov, V.
Published: (2023)

On the approximation of vector-valued functions by volume sampling
by: Kressner, Daniel, et al.
Published: (2023)

Decay estimates for Cayley transforms and inverses of semigroup generators via the $\mathcal{B}$-calculus
by: Wakaiki, Masashi
Published: (2023)

A survey of sampling discretization of integral and uniform norms
by: Dai, F., et al.
Published: (2026)

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

On the inequalities of Babuška-Aziz, Friedrichs and Horgan-Payne
by: Costabel, Martin, et al.
Published: (2013)

Entropy numbers of classes defined by integral operators
by: Temlyakov, V.
Published: (2025)

Approximation by Certain Complex Nevai Operators : Theory and Applications
by: Majethiya, Priyanka, et al.
Published: (2025)

Generalized Fourier Diffraction Theorem and Filtered Backpropagation for Tomographic Reconstruction
by: Kirisits, Clemens, et al.
Published: (2024)

Some lower bounds for optimal sampling recovery of functions with mixed smoothness
by: Gasnikov, A., et al.
Published: (2024)

On stability of Weak Greedy Algorithm in the presence of noise
by: Temlyakov, V. N.
Published: (2025)

On weak greedy algorithms
by: Spivak, A. S., et al.
Published: (2026)

Invertibility of the Fourier Diffraction Relation in Raster Scan Diffraction Tomography
by: Elbau, Peter, et al.
Published: (2026)