Faculty

Institution

Unit

Venue

Anne Gelb

John G Kemeny Parents Professor

Dartmouth College

Affiliations

Faculty of Arts and Sciences

Department of Mathematics

Anne Gelb is currently serving as a Mathematics John G Kemeny Parents Professor at Dartmouth College.

Honors

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Experiences

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Education

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Anne Gelb

Dartmouth College

John G Kemeny Parents Professor

You can click a keyword to filter the displayed items

applied mathematics computer science scientific computing data science numerical analysis machine learning computational imaging computer vision edge detection signal processing image reconstruction computational science applied physics numerical mathematics medical imaging spectral theory pattern recognition biomedical imaging spectral analysis fourier analysis informatics regularization (mathematics) synthetic aperture radar bayesian analysis nonlinear analysis magnetic resonance imaging reconstruction techniques gibbs phenomenon piecewise smooth functions numerical simulations non-uniform fourier data machine vision discontinuity compressive sensing gegenbauer reconstruction method fourier data empirical bayesian inference mri scans tissue boundary integrity non-uniform spectral data machine learning research statistical signal processing state estimation graph sparsity graph processing satellite imaging optical remote sensing estimation theory data reduction undersampled fourier data parameter optimization linear array transducer direct measurement joint sparsity recovery fourier spectral data speckle reduction interface science condensed matter mechanical science mathematical bioscience computational physics colloid chemistry colloidal systems colloidal materials computability theory micro-electromechanical systems applied mathematical modelling physical modeling function theory spline (mathematics) purification method vector processing scientific data management deblurring error correction parameter identification numerical method for partial differential equation inverse problems inverse scattering transforms data assimilation aerospace engineering

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Bayesian Framework for Spectral Reprojection. Journal of Scientific Computing (2025)

spectral analysisbayesian frameworkstatistical inferencebayesian analysisstatisticsstatistical methodologyspectral theoryapplied mathematicsbayesian hierarchical modelingstatistical models

Complex-Valued Signal Recovery Using a Generalized Bayesian Lasso. SIAM/ASA Journal on Uncertainty Quantification (2025)

bayesian analysissignal reconstructionsignal processingcomputational statisticsgeneralized bayesian lassoapplied mathematics

A Structurally Informed Data Assimilation Approach for Nonlinear Partial Differential Equations. Journal of Computational Physics (2024)

Tongtong LiAnne GelbYoonsang Lee

data assimilationatmospheric sciencedata science

Complex-Valued Image Recovery From Multiple Measurements. (2024)

Dylan GreenJonathan LindbloomAnne Gelb

multiple measurementscomputer visioncomplex-valued image recoveryapplied mathematicsmachine learning

Complex-Valued Signal Recovery Using the Bayesian Lasso. arXiv (Cornell University) (2024)

Green, DylanLindbloom, JonathanGelb, Anne

complex-valued signal recoverybayesian lassobayesian analysissignal processingmachine learningapplied mathematics

Empirical Bayesian Inference for Complex-Valued Signals Using Support-Informed Priors. Applied Mathematics for Modern Challenges (2024)

Dylan GreenJonathan LindbloomAnne Gelb

bayesian inferencecomplex-valued signalsstatistical inferencebayesian analysisempirical bayesian inferenceapplied mathematicssupport-informed priors

Learning the Dynamics for Unknown Hyperbolic Conservation Laws Using Deep Neural Networks. SIAM Journal on Scientific Computing (2024)

Zhen ChenAnne GelbYoonsang Lee

scientific computingmachine learningcomputer visioncomputational sciencedeep learningdeep neural networksapplied mathematicsapplied physicscomputer sciencehyperbolic conservation laws

Leveraging Joint Sparsity in Hierarchical Bayesian Learning. SIAM/ASA Journal on Uncertainty Quantification (2024)

Jan GlaubitzAnne Gelb

uncertainty quantificationmachine learningjoint sparsityhierarchical bayesian learningdata sciencecomputer science

Leveraging Structural Information for Enhanced Coherent Change Detection. (2024)

Scott DaytonOliver MilledgeJovana NikitovicAnne GelbDylan GreenAditya Viswanathan

computer sciencestructural informationmachine learning

A Bayesian Formulation for Estimating the Composition of Earth's Crust. Journal of Geophysical Research Solid Earth (2023)

Gailin PeaseAnne GelbYoonsang LeeBrenhin Keller

materials scienceplanetary sciencesbayesian formulationgeophysical researchgeophysicsbayesian analysisearth sciencemachine learning

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Anne Gelb

John G Kemeny Parents Professor

Dartmouth College

Affiliations

Faculty of Arts and Sciences

Department of Mathematics

Anne Gelb is currently serving as a Mathematics John G Kemeny Parents Professor at Dartmouth College.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Anne Gelb

Dartmouth College

John G Kemeny Parents Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Bayesian Framework for Spectral Reprojection. Journal of Scientific Computing (2025)

spectral analysisbayesian frameworkstatistical inferencebayesian analysisstatisticsstatistical methodologyspectral theoryapplied mathematicsbayesian hierarchical modelingstatistical models

Complex-Valued Signal Recovery Using a Generalized Bayesian Lasso. SIAM/ASA Journal on Uncertainty Quantification (2025)

bayesian analysissignal reconstructionsignal processingcomputational statisticsgeneralized bayesian lassoapplied mathematics

A Structurally Informed Data Assimilation Approach for Nonlinear Partial Differential Equations. Journal of Computational Physics (2024)

Tongtong LiAnne GelbYoonsang Lee

data assimilationatmospheric sciencedata science

Complex-Valued Image Recovery From Multiple Measurements. (2024)

Dylan GreenJonathan LindbloomAnne Gelb

multiple measurementscomputer visioncomplex-valued image recoveryapplied mathematicsmachine learning

Complex-Valued Signal Recovery Using the Bayesian Lasso. arXiv (Cornell University) (2024)

Green, DylanLindbloom, JonathanGelb, Anne

complex-valued signal recoverybayesian lassobayesian analysissignal processingmachine learningapplied mathematics

Empirical Bayesian Inference for Complex-Valued Signals Using Support-Informed Priors. Applied Mathematics for Modern Challenges (2024)

Dylan GreenJonathan LindbloomAnne Gelb

bayesian inferencecomplex-valued signalsstatistical inferencebayesian analysisempirical bayesian inferenceapplied mathematicssupport-informed priors

Learning the Dynamics for Unknown Hyperbolic Conservation Laws Using Deep Neural Networks. SIAM Journal on Scientific Computing (2024)

Zhen ChenAnne GelbYoonsang Lee

scientific computingmachine learningcomputer visioncomputational sciencedeep learningdeep neural networksapplied mathematicsapplied physicscomputer sciencehyperbolic conservation laws

Leveraging Joint Sparsity in Hierarchical Bayesian Learning. SIAM/ASA Journal on Uncertainty Quantification (2024)

Jan GlaubitzAnne Gelb

uncertainty quantificationmachine learningjoint sparsityhierarchical bayesian learningdata sciencecomputer science

Leveraging Structural Information for Enhanced Coherent Change Detection. (2024)

Scott DaytonOliver MilledgeJovana NikitovicAnne GelbDylan GreenAditya Viswanathan

computer sciencestructural informationmachine learning

A Bayesian Formulation for Estimating the Composition of Earth's Crust. Journal of Geophysical Research Solid Earth (2023)

Gailin PeaseAnne GelbYoonsang LeeBrenhin Keller

materials scienceplanetary sciencesbayesian formulationgeophysical researchgeophysicsbayesian analysisearth sciencemachine learning

1
2
3
4
5
18
10 / page

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