Anne Gelb

Orcid: 0000-0002-9219-4572

Affiliations:
  • Dartmouth College, Department of Mathematics, USA
  • Arizona State University, Tempe, Arizona, USA (former)


According to our database1, Anne Gelb authored at least 68 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Learning the Dynamics for Unknown Hyperbolic Conservation Laws Using Deep Neural Networks.
SIAM J. Sci. Comput., 2024

Complex-Valued Signal Recovery using the Bayesian LASSO.
CoRR, 2024

Generalized sparsity-promoting solvers for Bayesian inverse problems: Versatile sparsifying transforms and unknown noise variances.
CoRR, 2024

2023
Sequential Edge Detection Using Joint Hierarchical Bayesian Learning.
J. Sci. Comput., September, 2023

Generalized Sparse Bayesian Learning and Application to Image Reconstruction.
SIAM/ASA J. Uncertain. Quantification, March, 2023

Improving numerical accuracy for the viscous-plastic formulation of sea ice.
J. Comput. Phys., 2023

Learning In-between Imagery Dynamics via Physical Latent Spaces.
CoRR, 2023

A Structurally Informed Data Assimilation Approach for Nonlinear Partial Differential Equations.
CoRR, 2023

Leveraging joint sparsity in hierarchical Bayesian learning.
CoRR, 2023

2022
Sampling-based Spotlight SAR Image Reconstruction from Phase History Data for Speckle Reduction and Uncertainty Quantification.
SIAM/ASA J. Uncertain. Quantification, March, 2022

Empirical Bayesian Inference Using a Support Informed Prior.
SIAM/ASA J. Uncertain. Quantification, 2022

Sequential Image Recovery from Noisy and Under-Sampled Fourier Data.
J. Sci. Comput., 2022

Designing Neural Networks for Hyperbolic Conservation Laws.
CoRR, 2022

2021
Stabilizing Radial Basis Function Methods for Conservation Laws Using Weakly Enforced Boundary Conditions.
J. Sci. Comput., 2021

Sparsity-Based Recovery of Three-Dimensional Photoacoustic Images from Compressed Single-Shot Optical Detection.
J. Imaging, 2021

Empirical Bayesian Inference using Joint Sparsity.
CoRR, 2021

2019
High Order Edge Sensors with ℓ<sup>1</sup> Regularization for Enhanced Discontinuous Galerkin Methods.
SIAM J. Sci. Comput., 2019

Joint Sparse Recovery Based on Variances.
SIAM J. Sci. Comput., 2019

Reducing Effects of Bad Data Using Variance Based Joint Sparsity Recovery.
J. Sci. Comput., 2019

Numerical Analysis for Conservation Laws Using l<sub>1</sub> Minimization.
J. Sci. Comput., 2019

Detecting Edges from Non-uniform Fourier Data via Sparse Bayesian Learning.
J. Sci. Comput., 2019

Preface to the Special Issue in Memory of Professor Saul Abarbanel.
J. Sci. Comput., 2019

Thresholded Non-Uniform Fourier Frame-Based Reconstruction for Stripmap SAR.
CoRR, 2019

Accelerated Variance Based Joint Sparsity Recovery of Images from Fourier Data.
CoRR, 2019

2018
Using ℓ<sub>1</sub> Regularization to Improve Numerical Partial Differential Equation Solvers.
J. Sci. Comput., 2018

Finite Fourier Frame Approximation Using the Inverse Polynomial Reconstruction Method.
J. Sci. Comput., 2018

Joint image formation and two-dimensional autofocusing for synthetic aperture radar data.
J. Comput. Phys., 2018

2017
Edge Detection of Piecewise Smooth Functions from UnderSampled Fourier Data Using Variance Signatures.
SIAM J. Sci. Comput., 2017

Detecting Edges from Non-uniform Fourier Data Using Fourier Frames.
J. Sci. Comput., 2017

Composite SAR imaging using sequential joint sparsity.
J. Comput. Phys., 2017

Using Frame Theoretic Convolutional Gridding for Robust Synthetic Aperture Sonar Imaging.
CoRR, 2017

2016
A High-Dimensional Inverse Frame Operator Approximation Technique.
SIAM J. Numer. Anal., 2016

Image Reconstruction from Undersampled Fourier Data Using the Polynomial Annihilation Transform.
J. Sci. Comput., 2016

2015
Image Reconstruction from Fourier Data Using Sparsity of Edges.
J. Sci. Comput., 2015

2014
A Frame Theoretic Approach to the Nonuniform Fast Fourier Transform.
SIAM J. Numer. Anal., 2014

Edge Detection from Non-Uniform Fourier Data Using the Convolutional Gridding Algorithm.
J. Sci. Comput., 2014

2013
Edge detection from truncated Fourier data using spectral mollifiers.
Adv. Comput. Math., 2013

2012
Iterative Design of Concentration Factors for Jump Detection.
J. Sci. Comput., 2012

Sparsity Enforcing Edge Detection Method for Blurred and Noisy Fourier data.
J. Sci. Comput., 2012

Hypothesis Testing for Fourier Based Edge Detection Methods.
J. Sci. Comput., 2012

Special Issue on Mathematical Methods in Medical Imaging - Guest Editors' Introduction.
J. Sci. Comput., 2012

Recovering Exponential Accuracy from Non-harmonic Fourier Data Through Spectral Reprojection.
J. Sci. Comput., 2012

2010
Improved Total Variation-Type Regularization Using Higher Order Edge Detectors.
SIAM J. Imaging Sci., 2010

On Reconstruction from Non-uniform Spectral Data.
J. Sci. Comput., 2010

2009
A Hybrid Fourier-Chebyshev Method for Partial Differential Equations.
J. Sci. Comput., 2009

Discontinuity detection in multivariate space for stochastic simulations.
J. Comput. Phys., 2009

2008
Detection of Edges in Spectral Data III - Refinement of the Concentration Method.
J. Sci. Comput., 2008

Detection of signal discontinuities from noisy fourier data.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
Detecting derivative discontinuity locations in piecewise continuous functions from Fourier spectral data.
Numer. Algorithms, 2007

Reconstruction of Piecewise Smooth Functions from Non-uniform Grid Point Data.
J. Sci. Comput., 2007

2006
Adaptive Edge Detectors for Piecewise Smooth Data Based on the <i>minmod</i> Limiter.
J. Sci. Comput., 2006

One-sided Post-processing for the Discontinuous Galerkin Method Using ENO Type Stencil Choosing and the Local Edge Detection Method.
J. Sci. Comput., 2006

2005
Determining Analyticity for Parameter Optimization of the Gegenbauer Reconstruction Method.
SIAM J. Sci. Comput., 2005

Polynomial Fitting for Edge Detection in Irregularly Sampled Signals and Images.
SIAM J. Numer. Anal., 2005

Numerical Simulation of High Mach Number Astrophysical Jets with Radiative Cooling.
J. Sci. Comput., 2005

2004
Improving the accuracy of volumetric segmentation using pre-processing boundary detection and image reconstruction.
IEEE Trans. Image Process., 2004

Modelling Annular Micromixers.
SIAM J. Appl. Math., 2004

Parameter Optimization and Reduction of Round Off Error for the Gegenbauer Reconstruction Method.
J. Sci. Comput., 2004

2003
Improving tissue segmentation of human brain MRI through preprocessing by the Gegenbauer reconstruction method.
NeuroImage, 2003

2002
A Comparison of Modern Hyperbolic Methods for Semiconductor Device Simulation: NTK Central Scheme Vs. CLAWPACK.
VLSI Design, 2002

A method to reduce the Gibbs ringing artifact in MRI scans while keeping tissue boundary integrity.
IEEE Trans. Medical Imaging, 2002

Absorbing Boundary Conditions of the Second Order for the Pseudospectral Chebyshev Methods for Wave Propagation.
J. Sci. Comput., 2002

Reducing the Effects of Noise in Image Reconstruction.
J. Sci. Comput., 2002

Reducing the Gibbs ringing artifact in MRI scans while maintaining tissue boundary integrity.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

Reducing the effects of noise in MRI reconstruction.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

2000
Detection of Edges in Spectral Data II. Nonlinear Enhancement.
SIAM J. Numer. Anal., 2000

A Hybrid Approach to Spectral Reconstruction of Piecewise Smooth Functions.
J. Sci. Comput., 2000

1997
The resolution of the Gibbs phenomenon for spherical harmonics.
Math. Comput., 1997


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