Jeff Calder

Jeff Calder

University of Minnesota-Twin Cities

H-index: 19

North America-United States

About Jeff Calder

Jeff Calder, With an exceptional h-index of 19 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Minnesota-Twin Cities, specializes in the field of Partial Differential Equations, Viscosity Solutions, Applied Probability, Numerical Schemes, Image Processing and Computer Visio.

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

Using machine learning on new feature sets extracted from three-dimensional models of broken animal bones to classify fragments according to break agent

Consistency of semi-supervised learning, stochastic tug-of-war games, and the p-Laplacian

Deep semi-supervised label propagation for SAR image classification

Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning

Utilizing contrastive learning for graph-based active learning of SAR data

Monotone discretizations of levelset convex geometric PDEs

Online Prediction with History‐Dependent Experts: The General Case

Discrete to continuum convergence rates in graph-based learning at percolation length scales

Jeff Calder Information

University

Position

Assistant Professor

Citations(all)

1200

Citations(since 2020)

944

Cited By

522

hIndex(all)

19

hIndex(since 2020)

17

i10Index(all)

33

i10Index(since 2020)

29

Email

University Profile Page

University of Minnesota-Twin Cities

Google Scholar

View Google Scholar Profile

Jeff Calder Skills & Research Interests

Partial Differential Equations

Viscosity Solutions

Applied Probability

Numerical Schemes

Image Processing and Computer Visio

Top articles of Jeff Calder

Title

Journal

Author(s)

Publication Date

Using machine learning on new feature sets extracted from three-dimensional models of broken animal bones to classify fragments according to break agent

Journal of Human Evolution

Katrina Yezzi-Woodley

Alexander Terwilliger

Jiafeng Li

Eric Chen

Martha Tappen

...

2024/2/1

Consistency of semi-supervised learning, stochastic tug-of-war games, and the p-Laplacian

arXiv preprint arXiv:2401.07463

Jeff Calder

Nadejda Drenska

2024/1/15

Deep semi-supervised label propagation for SAR image classification

Joshua Enwright

Harris Hardiman-Mostow

Jeff Calder

Andrea Bertozzi

2023/6/13

Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning

SIAM Journal on Mathematics of Data Science

Kevin Miller

Jeff Calder

2023/12/31

Utilizing contrastive learning for graph-based active learning of SAR data

Jason Brown

Riley O'Neill

Jeff Calder

Andrea L Bertozzi

2023/6/13

Monotone discretizations of levelset convex geometric PDEs

arXiv preprint arXiv:2310.08450

Jeff Calder

Wonjun Lee

2023/10/12

Online Prediction with History‐Dependent Experts: The General Case

Communications on Pure and Applied Mathematics

Nadejda Drenska

Jeff Calder

2023/9

Discrete to continuum convergence rates in graph-based learning at percolation length scales

2023 Joint Mathematics Meetings (JMM 2023)

Jeff Calder

2023/1/5

Uniform convergence rates for Lipschitz learning on graphs

IMA Journal of Numerical Analysis

Leon Bungert

Jeff Calder

Tim Roith

2023/7

Novel batch active learning approach and its application on the synthetic aperture radar datasets

James Chapman

Bohan Chen

Zheng Tan

Jeff Calder

Kevin Miller

...

2023/6/13

Two-stage variational image segmentation of medical images using fracture mechanics

2022/2/22

Analysis and algorithms for ℓp-based semi-supervised learning on graphs

Applied and Computational Harmonic Analysis

Mauricio Flores

Jeff Calder

Gilad Lerman

2022/9

Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth

Journal of Machine Learning Research

Jeff Calder

Mahmood Ettehad

2022

Improved spectral convergence rates for graph Laplacians on ε-graphs and k-NN graphs

Applied and Computational Harmonic Analysis

Jeff Calder

Nicolas Garcia Trillos

2022/9/1

Lipschitz regularity of graph Laplacians on random data clouds

SIAM Journal on Mathematical Analysis

Jeff Calder

Nicolás García Trillos

Marta Lewicka

2022

Boundary estimation from point clouds: Algorithms, guarantees and applications

Journal of Scientific Computing

Jeff Calder

Sangmin Park

Dejan Slepčev

2022/8

Rates of convergence for the continuum limit of nondominated sorting

SIAM Journal on Mathematical Analysis

Brendan Cook

Jeff Calder

2022

Graph-based active learning for semi-supervised classification of SAR data

Kevin Miller

Jack Mauro

Jason Setiadi

Xoaquin Baca

Zhan Shi

...

2022/5/31

Ratio convergence rates for Euclidean first-passage percolation: applications to the graph infinity Laplacian

The Annals of Applied Probability

Leon Bungert

Jeff Calder

Tim Roith

2024

The Batch Artifact Scanning Protocol: A new method using computed tomography (CT) to rapidly create three-dimensional models of objects from large collections en masse

arXiv preprint arXiv:2205.02691

Katrina Yezzi-Woodley

Jeff Calder

Mckenzie Sweno

Chloe Siewert

Peter J Olver

2022/5/5

See List of Professors in Jeff Calder University(University of Minnesota-Twin Cities)

Co-Authors

H-index: 82
Alfred Hero

Alfred Hero

University of Michigan-Dearborn

H-index: 59
Maxime Descoteaux

Maxime Descoteaux

Université de Sherbrooke

H-index: 55
Anthony Yezzi

Anthony Yezzi

Georgia Institute of Technology

H-index: 33
Selim Esedoglu

Selim Esedoglu

University of Michigan

academic-engine