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Nicholas Oune
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Proceedings Papers

Data Fusion as a Latent Space Learning Problem

Jonathan Tammer Eweis-Labolle, Nicholas Oune, Ramin Bostanabad
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A032, August 14–17, 2022
Paper No: DETC2022-90233
DOI: https://doi.org/10.1115/DETC2022-90233
View Paper titled, Data Fusion as a Latent Space Learning Problem
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Topics: Calibration, Data fusion
Journal Articles

Data Fusion With Latent Map Gaussian Processes

Jonathan Tammer Eweis-Labolle, Nicholas Oune, Ramin Bostanabad
Journal: Journal of Mechanical Design
Article Type: Research Papers
J. Mech. Des. September 2022, 144(9): 091703.
Paper No: MD-21-1733
DOI: https://doi.org/10.1115/1.4054520
Published Online: June 13, 2022
View Article titled, Data Fusion With Latent Map Gaussian Processes
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Topics: Calibration, Data fusion, Modeling, Noise (Sound), Errors
Proceedings Papers

Extrapolation With Gaussian Random Processes and Evolutionary Programming

Robert Planas, Nicholas Oune, Ramin Bostanabad
Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A004, August 17–19, 2020
Paper No: DETC2020-22381
DOI: https://doi.org/10.1115/DETC2020-22381
View Paper titled, Extrapolation With Gaussian Random Processes and Evolutionary Programming
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Topics: Computer programming, Maximum likelihood estimation, Stochastic processes