David Bindel

David Bindel

Cornell University

H-index: 31

North America-United States

About David Bindel

David Bindel, With an exceptional h-index of 31 and a recent h-index of 20 (since 2020), a distinguished researcher at Cornell University, specializes in the field of Scientific computing, Numerical linear algebra, MEMS.

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

Walking on Spheres and Talking to Neighbors: Variance Reduction for Laplace's Equation

Finding Birkhoff Averages via Adaptive Filtering

Variational Gaussian Processes with Decoupled Conditionals

Direct Computation of Ballooning Stability in the Near-Axis Expansion

Direct optimization of fast-ion confinement in stellarators

Level Set Learning for Poincaré Plots of Symplectic Maps

Developing novel group theoretical algorithms for evaluating MHD stability in complex geometry

Surveillance Evasion Through Bayesian Reinforcement Learning

David Bindel Information

University

Position

Associate Professor of Computer Science

Citations(all)

8070

Citations(since 2020)

2593

Cited By

6462

hIndex(all)

31

hIndex(since 2020)

20

i10Index(all)

56

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

David Bindel Skills & Research Interests

Scientific computing

Numerical linear algebra

MEMS

Top articles of David Bindel

Title

Journal

Author(s)

Publication Date

Walking on Spheres and Talking to Neighbors: Variance Reduction for Laplace's Equation

arXiv preprint arXiv:2404.17692

Michael Czekanski

Benjamin Faber

Margaret Fairborn

Adelle Wright

David Bindel

2024/4/26

Finding Birkhoff Averages via Adaptive Filtering

arXiv preprint arXiv:2403.19003

Maximilian Ruth

David Bindel

2024/3/27

Variational Gaussian Processes with Decoupled Conditionals

Advances in Neural Information Processing Systems

Xinran Zhu

Kaiwen Wu

Natalie Maus

Jacob Gardner

David Bindel

2024/2/13

Direct Computation of Ballooning Stability in the Near-Axis Expansion

APS Division of Plasma Physics Meeting Abstracts

Tony Xu

Max Ruth

David Bindel

2023

Direct optimization of fast-ion confinement in stellarators

Plasma Physics and Controlled Fusion

David Bindel

Matt Landreman

Misha Padidar

2023/5/11

Level Set Learning for Poincaré Plots of Symplectic Maps

arXiv preprint arXiv:2312.00967

Maximilian Ruth

David Bindel

2023/12/1

Developing novel group theoretical algorithms for evaluating MHD stability in complex geometry

APS Division of Plasma Physics Meeting Abstracts

Caira Anderson

Adelle Wright

David Bindel

Benjamin Faber

2023

Surveillance Evasion Through Bayesian Reinforcement Learning

Dongping Qi

David Bindel

Alexander Vladimirsky

2023/4/11

Understanding trade-offs in stellarator design with multi-objective optimization

Journal of Plasma Physics

David Bindel

Matt Landreman

Misha Padidar

2023/10

Bayesian transformed gaussian processes

Transactions on Machine Learning Research

Xinran Zhu

Leo Huang

Eric Hans Lee

Cameron Alexander Ibrahim

David Bindel

2023/1/26

LAProof: A library of formal proofs of accuracy and correctness for linear algebra programs

Ariel E Kellison

Andrew W Appel

Mohit Tekriwal

David Bindel

2023/9/4

GPU-accelerated grid-free Monte Carlo methods for evaluating heat transport in stellarators

APS Division of Plasma Physics Meeting Abstracts

Margaret Fairborn

Adelle Wright

Benjamin Faber

Nathaniel Ferraro

Michael Czekanski

...

2023

Streaming local community detection through approximate conductance

IEEE Transactions on Big Data

Yanhao Yang

Meng Wang

David Bindel

Kun He

2024/1/25

Finding Magnetic Surfaces via a Single Trajectory

APS Division of Plasma Physics Meeting Abstracts

Max Ruth

David Bindel

2023

Verified correctness, accuracy, and convergence of a stationary iterative linear solver: Jacobi method

Mohit Tekriwal

Andrew W Appel

Ariel E Kellison

David Bindel

Jean-Baptiste Jeannin

2023/8/28

Global stochastic optimization of stellarator coil configurations

Journal of Plasma Physics

Silke Glas

Misha Padidar

Ariel Kellison

David Bindel

2022/4

Progress on a fast and robust solver for ideal MHD stability in stellarator geometry

APS Division of Plasma Physics Meeting Abstracts

Caira Anderson

Adelle Wright

Benjamin Faber

David Bindel

2022

GPTuneBand: Multi-task and multi-fidelity autotuning for large-scale high performance computing applications

Xinran Zhu

Yang Liu

Pieter Ghysels

David Bindel

Xiaoye S Li

2022

Efficient variational Gaussian processes initialization via kernel-based least squares fitting

NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, Decision-making Systems

Xinran Zhu

Jacob R Gardner

David Bindel

2022/12

Early termination strategies with asynchronous parallel optimization in application to automatic calibration of groundwater PDE models

Environmental Modelling & Software

Min Pang

Christine Ann Shoemaker

David Bindel

2022/1/1

See List of Professors in David Bindel University(Cornell University)

Co-Authors

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