Anne Gelb

Anne Gelb

Dartmouth College

H-index: 27

North America-United States

About Anne Gelb

Anne Gelb, With an exceptional h-index of 27 and a recent h-index of 17 (since 2020), a distinguished researcher at Dartmouth College, specializes in the field of numerical analysis, computational mathematics, image reconstruction from Fourier data, numerical PDEs.

His recent articles reflect a diverse array of research interests and contributions to the field:

Learning the Dynamics for Unknown Hyperbolic Conservation Laws Using Deep Neural Networks

Complex-Valued Signal Recovery using the Bayesian LASSO

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

A Structurally Informed Data Assimilation Approach for Nonlinear Partial Differential Equations

Sub-aperture SAR imaging with uncertainty quantification

Leveraging joint sparsity in 3D synthetic aperture radar imaging

Generalized sparse Bayesian learning and application to image reconstruction

Sequential edge detection using joint hierarchical Bayesian learning

Anne Gelb Information

University

Position

John G. Kemeny Parents Professor of Mathematics

Citations(all)

2785

Citations(since 2020)

924

Cited By

2314

hIndex(all)

27

hIndex(since 2020)

17

i10Index(all)

55

i10Index(since 2020)

36

Email

University Profile Page

Dartmouth College

Google Scholar

View Google Scholar Profile

Anne Gelb Skills & Research Interests

numerical analysis

computational mathematics

image reconstruction from Fourier data

numerical PDEs

Top articles of Anne Gelb

Title

Journal

Author(s)

Publication Date

Learning the Dynamics for Unknown Hyperbolic Conservation Laws Using Deep Neural Networks

SIAM Journal on Scientific Computing

Zhen Chen

Anne Gelb

Yoonsang Lee

2024/4/30

Complex-Valued Signal Recovery using the Bayesian LASSO

arXiv preprint arXiv:2403.16992

Dylan Green

Jonathan Lindbloom

Anne Gelb

2024/3/25

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

arXiv preprint arXiv:2402.16623

Jonathan Lindbloom

Jan Glaubitz

Anne Gelb

2024/2/26

A Structurally Informed Data Assimilation Approach for Nonlinear Partial Differential Equations

arXiv preprint arXiv:2309.02585

Tongtong Li

Anne Gelb

Yoonsang Lee

2023/9/5

Sub-aperture SAR imaging with uncertainty quantification

Inverse Problems

Victor Churchill

Anne Gelb

2023/3/31

Leveraging joint sparsity in 3D synthetic aperture radar imaging

Applied Mathematics for Modern Challenges

Dylan Green

JR Jamora

Anne Gelb

2023/9/1

Generalized sparse Bayesian learning and application to image reconstruction

SIAM/ASA Journal on Uncertainty Quantification

Jan Glaubitz

Anne Gelb

Guohui Song

2023/3/31

Sequential edge detection using joint hierarchical Bayesian learning

Journal of Scientific Computing

Yao Xiao

Anne Gelb

Guohui Song

2023/9

Leveraging joint sparsity in hierarchical Bayesian learning

arXiv preprint arXiv:2303.16954

Jan Glaubitz

Anne Gelb

2023/3/29

Improving numerical accuracy for the viscous-plastic formulation of sea ice

Journal of Computational Physics

Tongtong Li

Anne Gelb

Yoonsang Lee

2023/8/15

A Bayesian Formulation for Estimating the Composition of Earth's Crust

Journal of Geophysical Research: Solid Earth

Gailin Pease

Anne Gelb

Yoonsang Lee

Brenhin Keller

2023/7

Learning In-between Imagery Dynamics via Physical Latent Spaces

arXiv preprint arXiv:2310.09495

Jihun Han

Yoonsang Lee

Anne Gelb

2023/10/14

Using l¹-Regularization for Shock Capturing in Discontinuous Galerkin Methods

Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2020+ 1: Selected Papers from the ICOSAHOM Conference, Vienna, Austria, July 12-16, 2021

Jan Glaubitz

Anne Gelb

2023/6/30

Sampling-based spotlight SAR image reconstruction from phase history data for speckle reduction and uncertainty quantification

SIAM/ASA Journal on Uncertainty Quantification

Victor Churchill

Anne Gelb

2022/9/30

Empirical Bayesian inference using a support informed prior

SIAM/ASA Journal on Uncertainty Quantification

Jiahui Zhang

Anne Gelb

Theresa Scarnati

2022/6/30

Sequential image recovery from noisy and under-sampled Fourier data

Journal of Scientific Computing

Yao Xiao

Jan Glaubitz

Anne Gelb

Guohui Song

2022/5/11

Using ℓ1-Regularization for Shock Capturing in Discontinuous Galerkin Methods

Jan Glaubitz

Anne Gelb

2022/11/29

Designing Neural Networks for Hyperbolic Conservation Laws

arXiv preprint arXiv:2211.14375

Zhen Chen

Anne Gelb

Yoonsang Lee

2022/11/25

Stabilizing radial basis function methods for conservation laws using weakly enforced boundary conditions

Journal of Scientific Computing

Jan Glaubitz

Anne Gelb

2021/3/17

Empirical bayesian inference using joint sparsity

arXiv preprint arXiv:2103.15618

Jiahui Zhang

Anne Gelb

Theresa Scarnati

2021/3/29

See List of Professors in Anne Gelb University(Dartmouth College)