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ORCIDEarl Lawrence
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2020 – today
- 2023
[i3]Derek DeSantis, Ayan Biswas, Earl Lawrence, Phillip Wolfram:
Dynamic Data Assimilation of MPAS-O and the Global Drifter Dataset. CoRR abs/2301.05551 (2023)- 2022
- [j13]Matthias Katzfuss
, Joseph Guinness, Earl Lawrence:
Scaled Vecchia Approximation for Fast Computer-Model Emulation. SIAM/ASA J. Uncertain. Quantification 10(2): 537-554 (2022) - [j12]Michael J. Grosskopf, Kary L. Myers, Earl Lawrence, Derek Bingham:
Temporal Characterization and Filtering of Sensor Data to Support Anomaly Detection. Technometrics 64(4): 475-486 (2022) - [i2]Steven Stetzler, Michael Grosskopf, Earl Lawrence:
Fast emulation of density functional theory simulations using approximate Gaussian processes. CoRR abs/2208.11302 (2022) - 2021
- [j11]Claire-Alice Hébert, Earl Lawrence, Kary L. 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): 596-605 (2021) - [j10]Samuel Myren, Earl Lawrence:
A comparison of Gaussian processes and neural networks for computer model emulation and calibration. Stat. Anal. Data Min. 14(6): 606-623 (2021) - [j9]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): 4439-4454 (2021) - [c10]Divya Banesh, Nishant Panda, Ayan Biswas, Luke Van Roekel, Diane Oyen, Nathan M. 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: 3731-3739 - [c9]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: 3784-3788 - [c8]Subhashis Hazarika, Ayan Biswas, Earl Lawrence, Philip J. Wolfram:
Probabilistic Principal Component Analysis Guided Spatial Partitioning of Multivariate Ocean Biogeochemistry Data. EnvirVis@EuroVis 2021: 9-15 - [c7]Soumya Dutta, Natalie Klein, Li Tang, Jonathan David Wolfe, Luke Van Roekel, James Joseph Benedict, Ayan Biswas, Earl Lawrence, Nathan M. Urban:
In Situ Climate Modeling for Analyzing Extreme Weather Events. ISAV@SC 2021: 18-23 - [c6]Michael Grosskopf, Earl Lawrence, Ayan Biswas, Li Tang, Kelin Rumsey, Luke Van Roekel, Nathan M. Urban:
In-Situ Spatial Inference on Climate Simulations with Sparse Gaussian Processes. ISAV@SC 2021: 31-36 - [c5]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: 33-39 - 2020
- [j8]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): 44-54 (2020) - [c4]Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan M. Urban:
Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. IEEE VIS (Short Papers) 2020: 41-45 - [i1]Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram, Earl Lawrence, Nathan M. Urban:
Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data. CoRR abs/2008.13306 (2020)
2010 – 2019
- 2019
- [j7]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): 720-759 (2019) - 2018
- [c3]Ayan Biswas, Kelly R. Moran, Earl Lawrence, James P. Ahrens:
Visualization of Uncertainty for Computationally Intensive Simulations Using High Fidelity Emulators. SciVis 2018: 47-51 - 2016
- [j6]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): 329-340 (2016) - 2014
- [c2]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: 274-283 - 2013
- [j5]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): 389 (2013) - [j4]Earl Lawrence, Scott A. Vander Wiel, Russell Bent:
Model Bank State Estimation for Power Grids Using Importance Sampling. Technometrics 55(4): 426-435 (2013) - [j3]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): 488-500 (2013)
2000 – 2009
- 2008
- [j2]Earl Lawrence, Derek Bingham, Chuanhai Liu, Vijayan N. Nair:
Bayesian Inference for Multivariate Ordinal Data Using Parameter Expansion. Technometrics 50(2): 182-191 (2008) - 2006
- [c1]James R. Gattiker, Earl Lawrence, David Higdon:
Analysis of Multi-domain Complex Simulation Studies. ICCSA (3) 2006: 1153-1162 - 2005
- [j1]Earl Lawrence, George Michailidis, Vijay N. Nair:
Local area network analysis using end-to-end delay tomography. SIGMETRICS Perform. Evaluation Rev. 33(3): 39-45 (2005)
Coauthor Index
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