Earl Lawrence

According to our database, Earl Lawrence authored at least 25 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Dynamic Data Assimilation of MPAS-O and the Global Drifter Dataset.

Derek DeSantis, Ayan Biswas, Earl Lawrence, Phillip Wolfram

CoRR, 2023

2022

Temporal Characterization and Filtering of Sensor Data to Support Anomaly Detection.

Michael J. Grosskopf, Kary L. Myers, Earl Lawrence, Derek Bingham

Technometrics, 2022

Scaled Vecchia Approximation for Fast Computer-Model Emulation.

Matthias Katzfuss, Joseph Guinness, Earl Lawrence

SIAM/ASA J. Uncertain. Quantification, 2022

Fast emulation of density functional theory simulations using approximate Gaussian processes.

Steven Stetzler, Michael Grosskopf, Earl Lawrence

CoRR, 2022

2021

Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis.

Ayan Biswas, Soumya Dutta, Earl Lawrence, John Patchett, Jon C. Calhoun, James P. Ahrens

IEEE Trans. Vis. Comput. Graph., 2021

A comparison of Gaussian processes and neural networks for computer model emulation and calibration.

Samuel Myren, Earl Lawrence

Stat. Anal. Data Min., 2021

An initial exploration of Bayesian model calibration for estimating the composition of rocks and soils on Mars.

Claire-Alice Hébert, Earl Lawrence, Kary L. Myers, James Colgan, Elizabeth J. Judge

Stat. Anal. Data Min., 2021

TributaryPCA: Distributed, Streaming PCA for In Situ Dimension Reduction with Application to Space Weather Simulations.

Yu Wang, Natalie Klein, Steven Morley, Vania Jordanova, Michael Henderson, Ayan Biswas, Earl Lawrence

Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021

In-Situ Spatial Inference on Climate Simulations with Sparse Gaussian Processes.

Michael Grosskopf, Earl Lawrence, Ayan Biswas, Li Tang, Kelin Rumsey, Luke Van Roekel, Nathan M. Urban

Proceedings of the ISAV@SC 21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2021

In Situ Climate Modeling for Analyzing Extreme Weather Events.

Soumya Dutta, Natalie Klein, Li Tang, Jonathan David Wolfe, Luke Van Roekel, James Joseph Benedict, Ayan Biswas, Earl Lawrence, Nathan M. Urban

Proceedings of the ISAV@SC 21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2021

Probabilistic Principal Component Analysis Guided Spatial Partitioning of Multivariate Ocean Biogeochemistry Data.

Subhashis Hazarika, Ayan Biswas, Earl Lawrence, Philip J. Wolfram

Proceedings of the 9th Workshop on Visualisation in Environmental Sciences, 2021

Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks.

Divya Banesh, Nishant Panda, Ayan Biswas, Luke Van Roekel, Diane Oyen, Nathan M. Urban, Michael Grosskopf, Jonathan David Wolfe, Earl Lawrence

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Topological Segmentation and Tracking for Space Weather Modeling.

Divya Banesh, Natalie Klein, Steven Morley, Ayan Biswas, Vania Jordanova, Michael Henderson, Earl Lawrence

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

An Interactive Exploration Tool for High-Dimensional Datasets: A Shock Physics Case Study.

Ayan Biswas, Christopher M. Biwer, David J. Walters, James P. Ahrens, Devin Francom, Earl Lawrence, Richard L. Sandberg, D. Anthony Fredenburg, Cynthia Bolme

Comput. Sci. Eng., 2020

Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data.

Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan M. Urban

Proceedings of the 31st IEEE Visualization Conference, 2020

2019

Emulating Satellite Drag from Large Simulation Experiments.

Furong Sun, Robert B. Gramacy, Benjamin Haaland, Earl Lawrence, Andrew Walker

SIAM/ASA J. Uncertain. Quantification, 2019

2018

Visualization of Uncertainty for Computationally Intensive Simulations Using High Fidelity Emulators.

Ayan Biswas, Kelly R. Moran, Earl Lawrence, James P. Ahrens

Proceedings of the 2018 IEEE Scientific Visualization Conference, 2018

2016

Partitioning a Large Simulation as It Runs.

Kary L. Myers, Earl Lawrence, Michael Fugate, Claire McKay Bowen, Lawrence Ticknor, Jon Woodring, Joanne Wendelberger, Jim Ahrens

Technometrics, 2016

2014

Specification of the Ionosphere-Thermosphere Using the Ensemble Kalman Filter.

Humberto C. Godinez, Earl Lawrence, David Higdon, Aaron J. Ridley, Josef Koller, Alexei V. Klimenko

Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014

2013

Special Issue: Conference on Data Analysis (CoDA) - Exploring Data-Focused Research across the Department of Energy.

Kary L. Myers, Earl Lawrence, Hugh A. Chipman

Technometrics, 2013

Model Bank State Estimation for Power Grids Using Importance Sampling.

Earl Lawrence, Scott A. Vander Wiel, Russell Bent

Technometrics, 2013

Computer Model Calibration Using the Ensemble Kalman Filter.

David Higdon, James R. Gattiker, Earl Lawrence, Charles S. Jackson, Michael Tobis, Matthew T. Pratola, Salman Habib, Katrin Heitmann, Steve Price

Technometrics, 2013

2008

Bayesian Inference for Multivariate Ordinal Data Using Parameter Expansion.

Earl Lawrence, Derek Bingham, Chuanhai Liu, Vijayan N. Nair

Technometrics, 2008

2006

Analysis of Multi-domain Complex Simulation Studies.

James R. Gattiker, Earl Lawrence, David Higdon

Proceedings of the Computational Science and Its Applications, 2006

2005

Local area network analysis using end-to-end delay tomography.

Earl Lawrence, George Michailidis, Vijay N. Nair

SIGMETRICS Perform. Evaluation Rev., 2005