Michael Grosskopf

Orcid: 0000-0002-7838-3609

According to our database1, Michael Grosskopf authored at least 14 papers between 2011 and 2024.

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Bibliography

2024
Expert-in-the-loop design of integral nuclear data experiments.
Stat. Anal. Data Min., April, 2024

Driving mode analysis - How uncertain functional inputs propagate to an output.
Stat. Anal. Data Min., February, 2024

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

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

2021
Generalized Computer Model Calibration for Radiation Transport Simulation.
Technometrics, 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

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

2020
Identifying Entangled Physics Relationships through Sparse Matrix Decomposition to Inform Plasma Fusion Design.
CoRR, 2020

Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning.
CoRR, 2020

Extreme Protection Against Data Loss with Single-Overlap Declustered Parity.
Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2020

2017
Emulation of Numerical Models With Over-Specified Basis Functions.
Technometrics, 2017

2013
Prediction and Computer Model Calibration Using Outputs From Multifidelity Simulators.
Technometrics, 2013

2011
A physics informed emulator for laser-driven radiating shock simulations.
Reliab. Eng. Syst. Saf., 2011

Predictive modeling of a radiative shock system.
Reliab. Eng. Syst. Saf., 2011


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