Earl Lawrence

Orcid: 0000-0002-6473-1887

According to our database1, Earl Lawrence authored at least 25 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Dynamic Data Assimilation of MPAS-O and the Global Drifter Dataset.
CoRR, 2023

2022
Temporal Characterization and Filtering of Sensor Data to Support Anomaly Detection.
Technometrics, 2022

Scaled Vecchia Approximation for Fast Computer-Model Emulation.
SIAM/ASA J. Uncertain. Quantification, 2022

Fast emulation of density functional theory simulations using approximate Gaussian processes.
CoRR, 2022

2021
Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis.
IEEE Trans. Vis. Comput. Graph., 2021

A comparison of Gaussian processes and neural networks for computer model emulation and calibration.
Stat. Anal. Data Min., 2021

An initial exploration of Bayesian model calibration for estimating the composition of rocks and soils on Mars.
Stat. Anal. Data Min., 2021

TributaryPCA: Distributed, Streaming PCA for In Situ Dimension Reduction with Application to Space Weather Simulations.
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.
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.
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.
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.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Topological Segmentation and Tracking for Space Weather Modeling.
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.
Comput. Sci. Eng., 2020

Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data.
Proceedings of the 31st IEEE Visualization Conference, 2020

2019
Emulating Satellite Drag from Large Simulation Experiments.
SIAM/ASA J. Uncertain. Quantification, 2019

2018
Visualization of Uncertainty for Computationally Intensive Simulations Using High Fidelity Emulators.
Proceedings of the 2018 IEEE Scientific Visualization Conference, 2018

2016
Partitioning a Large Simulation as It Runs.
Technometrics, 2016

2014
Specification of the Ionosphere-Thermosphere Using the Ensemble Kalman Filter.
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.
Technometrics, 2013

Model Bank State Estimation for Power Grids Using Importance Sampling.
Technometrics, 2013

Computer Model Calibration Using the Ensemble Kalman Filter.
Technometrics, 2013

2008
Bayesian Inference for Multivariate Ordinal Data Using Parameter Expansion.
Technometrics, 2008

2006
Analysis of Multi-domain Complex Simulation Studies.
Proceedings of the Computational Science and Its Applications, 2006

2005
Local area network analysis using end-to-end delay tomography.
SIGMETRICS Perform. Evaluation Rev., 2005


  Loading...