Earl Lawrence

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 19

Top Topics

Gaussian Process

Sampling Strategies

Simulation Data

Top Venues

Stat. Anal. Data Min.

SIAM/ASA J. Uncertain. Quantification

Publications

Derek DeSantis, Ayan Biswas, Earl Lawrence, Phillip Wolfram
Dynamic Data Assimilation of MPAS-O and the Global Drifter Dataset. CoRR (2023)
Matthias Katzfuss, Joseph Guinness, Earl Lawrence
Scaled Vecchia Approximation for Fast Computer-Model Emulation. SIAM/ASA J. Uncertain. Quantification 10 (2) (2022)
Steven Stetzler, Michael Grosskopf, Earl Lawrence
Fast emulation of density functional theory simulations using approximate Gaussian processes. CoRR (2022)
Michael J. Grosskopf, Kary L. Myers, Earl Lawrence, Derek Bingham
Temporal Characterization and Filtering of Sensor Data to Support Anomaly Detection. Technometrics 64 (4) (2022)
Soumya Dutta, Natalie Klein, Li Tang, Jonathan David Wolfe, Luke Van Roekel, James Joseph Benedict, Ayan Biswas, Earl Lawrence, Nathan Urban
In Situ Climate Modeling for Analyzing Extreme Weather Events. ISAV@SC (2021)
Yu Wang, Natalie Klein, Steven Morley, Vania Jordanova, Michael Henderson, Ayan Biswas, Earl Lawrence
TributaryPCA: Distributed, Streaming PCA for In Situ Dimension Reduction with Application to Space Weather Simulations. DRBSD@SC (2021)
Michael Grosskopf, Earl Lawrence, Ayan Biswas, Li Tang, Kelin Rumsey, Luke Van Roekel, Nathan Urban
In-Situ Spatial Inference on Climate Simulations with Sparse Gaussian Processes. ISAV@SC (2021)
Samuel Myren, Earl Lawrence
A comparison of Gaussian processes and neural networks for computer model emulation and calibration. Stat. Anal. Data Min. 14 (6) (2021)
Divya Banesh, Nishant Panda, Ayan Biswas, Luke Van Roekel, Diane Oyen, Nathan Urban, Michael Grosskopf, Jonathan David Wolfe, Earl Lawrence
Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks. IEEE BigData (2021)
Subhashis Hazarika, Ayan Biswas, Earl Lawrence, Philip J. Wolfram
Probabilistic Principal Component Analysis Guided Spatial Partitioning of Multivariate Ocean Biogeochemistry Data. EnvirVis@EuroVis (2021)
Ayan Biswas, Soumya Dutta, Earl Lawrence, John Patchett, Jon C. Calhoun, James P. Ahrens
Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis. IEEE Trans. Vis. Comput. Graph. 27 (12) (2021)
Claire-Alice Hébert, Earl Lawrence, Kary Myers, James Colgan, Elizabeth J. Judge
An initial exploration of Bayesian model calibration for estimating the composition of rocks and soils on Mars. Stat. Anal. Data Min. 14 (6) (2021)
Divya Banesh, Natalie Klein, Steven Morley, Ayan Biswas, Vania Jordanova, Michael Henderson, Earl Lawrence
Topological Segmentation and Tracking for Space Weather Modeling. IEEE BigData (2021)
Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan Urban
Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. IEEE VIS (Short Papers) (2020)
Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan Urban
Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. CoRR (2020)
Ayan Biswas, Christopher M. Biwer, David J. Walters, James P. Ahrens, Devin Francom, Earl Lawrence, Richard L. Sandberg, D. Anthony Fredenburg, Cynthia Bolme
An Interactive Exploration Tool for High-Dimensional Datasets: A Shock Physics Case Study. Comput. Sci. Eng. 22 (2) (2020)
Furong Sun, Robert B. Gramacy, Benjamin Haaland, Earl Lawrence, Andrew Walker
Emulating Satellite Drag from Large Simulation Experiments. SIAM/ASA J. Uncertain. Quantification 7 (2) (2019)
Ayan Biswas, Kelly R. Moran, Earl Lawrence, James P. Ahrens
Visualization of Uncertainty for Computationally Intensive Simulations Using High Fidelity Emulators. SciVis (2018)
Kary L. Myers, Earl Lawrence, Michael Fugate, Claire McKay Bowen, Lawrence Ticknor, Jon Woodring, Joanne Wendelberger, Jim Ahrens
Partitioning a Large Simulation as It Runs. Technometrics 58 (3) (2016)
Humberto C. Godinez, Earl Lawrence, David Higdon, Aaron J. Ridley, Josef Koller, Alexei V. Klimenko
Specification of the Ionosphere-Thermosphere Using the Ensemble Kalman Filter. DyDESS (2014)
David Higdon, James R. Gattiker, Earl Lawrence, Charles S. Jackson, Michael Tobis, Matthew T. Pratola, Salman Habib, Katrin Heitmann, Steve Price
Computer Model Calibration Using the Ensemble Kalman Filter. Technometrics 55 (4) (2013)
Kary L. Myers, Earl Lawrence, Hugh A. Chipman
Special Issue: Conference on Data Analysis (CoDA) - Exploring Data-Focused Research across the Department of Energy. Technometrics 55 (4) (2013)
Earl Lawrence, Scott A. Vander Wiel, Russell Bent
Model Bank State Estimation for Power Grids Using Importance Sampling. Technometrics 55 (4) (2013)
Earl Lawrence, Derek Bingham, Chuanhai Liu, Vijayan N. Nair
Bayesian Inference for Multivariate Ordinal Data Using Parameter Expansion. Technometrics 50 (2) (2008)
James R. Gattiker, Earl Lawrence, David Higdon
Analysis of Multi-domain Complex Simulation Studies. ICCSA (3) (2006)
Earl Lawrence, George Michailidis, Vijay N. Nair
Local area network analysis using end-to-end delay tomography. SIGMETRICS Perform. Evaluation Rev. 33 (3) (2005)