Saved in:
| Main Authors: | Hwang, Gyeongha, Jeon, Gihyeon, Moon, Sunghwan, Park, Dabin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.09749 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Machine Learning and Finite Element Framework for Inverse Elliptic PDEs via Dirichlet-to-Neumann Mapping
by: Park, Dabin, et al.
Published: (2025)
by: Park, Dabin, et al.
Published: (2025)
ECALL: Expectation-calibrated learning for unsupervised blind deconvolution
by: Haltmeier, Markus, et al.
Published: (2024)
by: Haltmeier, Markus, et al.
Published: (2024)
Data-Consistent Learning of Inverse Problems
by: Haltmeier, Markus, et al.
Published: (2026)
by: Haltmeier, Markus, et al.
Published: (2026)
Convergence analysis of equilibrium methods for inverse problems
by: Obmann, Daniel, et al.
Published: (2023)
by: Obmann, Daniel, et al.
Published: (2023)
Deep learning versus $\ell^1$-minimization for compressed sensing photoacoustic tomography
by: Antholzer, Stephan, et al.
Published: (2019)
by: Antholzer, Stephan, et al.
Published: (2019)
Finite element approximation for quantitative photoacoustic tomography in a diffusive regime
by: Alberti, Giovanni S., et al.
Published: (2025)
by: Alberti, Giovanni S., et al.
Published: (2025)
Deep Learning of truncated singular values for limited view photoacoustic tomography
by: Schwab, Johannes, et al.
Published: (2019)
by: Schwab, Johannes, et al.
Published: (2019)
HyDRA: Hybrid Denoising Regularization for Measurement-Only DEQ Training
by: Haltmeier, Markus, et al.
Published: (2026)
by: Haltmeier, Markus, et al.
Published: (2026)
Fast deep learning based reconstruction for limited angle tomography
by: Salomonsson, Knut, et al.
Published: (2024)
by: Salomonsson, Knut, et al.
Published: (2024)
Fast algorithms enabling optimization and deep learning for photoacoustic tomography in a circular detection geometry
by: Hauptmann, Andreas, et al.
Published: (2025)
by: Hauptmann, Andreas, et al.
Published: (2025)
Photoacoustic tomography with time-dependent damping: Theoretical and a convolutional neural network-guided numerical inversion procedure
by: Moon, Sunghwan, et al.
Published: (2026)
by: Moon, Sunghwan, et al.
Published: (2026)
Fast reconstruction approaches for photoacoustic tomography with smoothing Sobolev/Matérn priors
by: Kultima, Jaakko, et al.
Published: (2025)
by: Kultima, Jaakko, et al.
Published: (2025)
Explicit inversion for variable-speed wave equations on bounded domains
by: Moon, Sunghwan, et al.
Published: (2023)
by: Moon, Sunghwan, et al.
Published: (2023)
A Fourier finite volume approach for the optical inverse problem of quantitative photoacoustic tomography
by: Chappell, David J.
Published: (2025)
by: Chappell, David J.
Published: (2025)
Range Description for an Attenuated Conical Radon Transform with Fixed Central Axis and Opening Angle
by: Jeon, Gihyeon
Published: (2024)
by: Jeon, Gihyeon
Published: (2024)
A high contrast and resolution reconstruction algorithm in quantitative photoacoustic tomography
by: Dey, Anwesa, et al.
Published: (2024)
by: Dey, Anwesa, et al.
Published: (2024)
Implicit-explicit all-speed schemes for compressible Cahn-Hilliard-Navier-Stokes equations
by: Martorell, Andreu, et al.
Published: (2026)
by: Martorell, Andreu, et al.
Published: (2026)
Solver-in-the-Loop joint operator learning: fractional Laplace-Beltrami features for interface reconstruction
by: Zheng, Yangyang, et al.
Published: (2024)
by: Zheng, Yangyang, et al.
Published: (2024)
On the optimal choice of the illumination function in photoacoustic tomography
by: Huynh, Phuoc-Truong, et al.
Published: (2024)
by: Huynh, Phuoc-Truong, et al.
Published: (2024)
Implicit-explicit schemes for incompressible flow problems with variable viscosity
by: Barrenechea, Gabriel R., et al.
Published: (2023)
by: Barrenechea, Gabriel R., et al.
Published: (2023)
On some analytic properties of the atmospheric tomography operator: Non-Uniqueness and reconstructability issues
by: Ramlau, Ronny, et al.
Published: (2024)
by: Ramlau, Ronny, et al.
Published: (2024)
Implicit reconstruction from point cloud: an adaptive level-set-based semi-Lagrangian method
by: Preda, Silvia, et al.
Published: (2025)
by: Preda, Silvia, et al.
Published: (2025)
Comparison of two statistical image reconstruction algorithms for quantitative assessment of pathological lesions using gamma emission tomography
by: Nesterova, A. V., et al.
Published: (2025)
by: Nesterova, A. V., et al.
Published: (2025)
Learning-based approaches for reconstructions with inexact operators in nanoCT applications
by: Lütjen, Tom, et al.
Published: (2023)
by: Lütjen, Tom, et al.
Published: (2023)
Pressure-robustness in Stokes-Darcy Optimal Control Problem with reconstruction operator
by: Li, Jingshi, et al.
Published: (2025)
by: Li, Jingshi, et al.
Published: (2025)
Analysis of beam hardening streaks in tomography
by: Katsevich, Alexander
Published: (2025)
by: Katsevich, Alexander
Published: (2025)
Photoacoustic image reconstruction via deep learning
by: Antholzer, Stephan, et al.
Published: (2019)
by: Antholzer, Stephan, et al.
Published: (2019)
Physics-informed machine learning for reconstruction of dynamical systems with invariant measure score matching
by: Chen, Yongsheng, et al.
Published: (2026)
by: Chen, Yongsheng, et al.
Published: (2026)
An approach to discrete operator learning based on sparse high-dimensional approximation
by: Potts, Daniel, et al.
Published: (2024)
by: Potts, Daniel, et al.
Published: (2024)
XI-DeepONet: An operator learning method for elliptic interface problems
by: Bi, Ran, et al.
Published: (2024)
by: Bi, Ran, et al.
Published: (2024)
Escaping Spectral Bias without Backpropagation: Fast Implicit Neural Representations with Extreme Learning Machines
by: Cho, Woojin, et al.
Published: (2026)
by: Cho, Woojin, et al.
Published: (2026)
Measurability and continuity of parametric low-rank approximation in Hilbert spaces: linear operators and random variables
by: Franco, Nicola Rares
Published: (2024)
by: Franco, Nicola Rares
Published: (2024)
Structure-informed operator learning for parabolic Partial Differential Equations
by: Benth, Fred Espen, et al.
Published: (2024)
by: Benth, Fred Espen, et al.
Published: (2024)
Localized Estimation of Condition Numbers for MILU Preconditioners on a Graph
by: Hwang, Geonho, et al.
Published: (2024)
by: Hwang, Geonho, et al.
Published: (2024)
Nonlinear model reduction for operator learning
by: Eivazi, Hamidreza, et al.
Published: (2024)
by: Eivazi, Hamidreza, et al.
Published: (2024)
On a quantitative partial imaging problem in vector tomography
by: Fujiwara, Hiroshi, et al.
Published: (2025)
by: Fujiwara, Hiroshi, et al.
Published: (2025)
An efficient hierarchical Bayesian method for the Kuopio tomography challenge 2023
by: Pragliola, Monica, et al.
Published: (2024)
by: Pragliola, Monica, et al.
Published: (2024)
Dynamic computerized tomography using inexact models and motion estimation
by: Sarnighausen, Gesa, et al.
Published: (2024)
by: Sarnighausen, Gesa, et al.
Published: (2024)
Learning cardiac activation and repolarization times with operator learning
by: Centofanti, Edoardo, et al.
Published: (2025)
by: Centofanti, Edoardo, et al.
Published: (2025)
Deep set based operator learning with uncertainty quantification
by: Ma, Lei, et al.
Published: (2025)
by: Ma, Lei, et al.
Published: (2025)
Similar Items
-
A Machine Learning and Finite Element Framework for Inverse Elliptic PDEs via Dirichlet-to-Neumann Mapping
by: Park, Dabin, et al.
Published: (2025) -
ECALL: Expectation-calibrated learning for unsupervised blind deconvolution
by: Haltmeier, Markus, et al.
Published: (2024) -
Data-Consistent Learning of Inverse Problems
by: Haltmeier, Markus, et al.
Published: (2026) -
Convergence analysis of equilibrium methods for inverse problems
by: Obmann, Daniel, et al.
Published: (2023) -
Deep learning versus $\ell^1$-minimization for compressed sensing photoacoustic tomography
by: Antholzer, Stephan, et al.
Published: (2019)