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Michael Grosskopf
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2020 – today
- 2024
- [j8]Scott A. Vander Wiel, Michael J. Grosskopf, Isaac J. Michaud, Denise Neudecker:
Driving mode analysis - How uncertain functional inputs propagate to an output. Stat. Anal. Data Min. 17(1) (2024) - [j7]Isaac J. Michaud, Michael Grosskopf, Jesson Hutchinson, Scott A. Vander Wiel:
Expert-in-the-loop design of integral nuclear data experiments. Stat. Anal. Data Min. 17(2) (2024) - 2022
- [j6]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) - [i3]Steven Stetzler, Michael Grosskopf, Earl Lawrence:
Fast emulation of density functional theory simulations using approximate Gaussian processes. CoRR abs/2208.11302 (2022) - 2021
- [j5]Michael Grosskopf, Derek Bingham, Marvin L. Adams, W. Daryl Hawkins, Delia Perez-Nunez:
Generalized Computer Model Calibration for Radiation Transport Simulation. Technometrics 63(1): 27-39 (2021) - [c3]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 - [c2]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 - 2020
- [c1]Huan Ke, Haryadi S. Gunawi, David Bonnie, Nathan DeBardeleben, Michael Grosskopf, Terry Grové, Dominic Manno, Elisabeth Moore, Brad Settlemyer:
Extreme Protection Against Data Loss with Single-Overlap Declustered Parity. DSN 2020: 343-354 - [i2]Julia B. Nakhleh, M. Giselle Fernández-Godino, Michael J. Grosskopf, Brandon M. Wilson, John Kline, Gowri Srinivasan:
Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning. CoRR abs/2010.04254 (2020) - [i1]M. Giselle Fernández-Godino, Michael J. Grosskopf, Julia B. Nakhleh, Brandon M. Wilson, John Kline, Gowri Srinivasan:
Identifying Entangled Physics Relationships through Sparse Matrix Decomposition to Inform Plasma Fusion Design. CoRR abs/2010.15208 (2020)
2010 – 2019
- 2017
- [j4]Avishek Chakraborty, Derek Bingham, Soma S. Dhavala, Carolyn C. Kuranz, R. Paul Drake, Michael J. Grosskopf, Erica M. Rutter, Ben R. Torralva, James Paul Holloway, Ryan G. McClarren, Bani K. Mallick:
Emulation of Numerical Models With Over-Specified Basis Functions. Technometrics 59(2): 153-164 (2017) - 2013
- [j3]Joslin Goh, Derek Bingham, James Paul Holloway, Michael Grosskopf, Carolyn C. Kuranz, Erica Rutter:
Prediction and Computer Model Calibration Using Outputs From Multifidelity Simulators. Technometrics 55(4): 501-512 (2013) - 2011
- [j2]James Paul Holloway, Derek Bingham, Chuan-Chih Chou, Forrest Doss, R. Paul Drake, Bruce Fryxell, Michael Grosskopf, Bart van der Holst, Bani K. Mallick, Ryan G. McClarren, Ashin Mukherjee, Vijay N. Nair, Kenneth G. Powell, Duchwan Ryu, Igor V. Sokolov, Gábor Tóth, Zhanyang Zhang:
Predictive modeling of a radiative shock system. Reliab. Eng. Syst. Saf. 96(9): 1184-1193 (2011) - [j1]Ryan G. McClarren, Duchwan Ryu, R. Paul Drake, Michael Grosskopf, Derek Bingham, Chuan-Chih Chou, Bruce Fryxell, Bart van der Holst, James Paul Holloway, Carolyn C. Kuranz, Bani K. Mallick, Erica Rutter, Ben R. Torralva:
A physics informed emulator for laser-driven radiating shock simulations. Reliab. Eng. Syst. Saf. 96(9): 1194-1207 (2011)
Coauthor Index
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