Multi fidelity models



Cutajar, Kurt, Mark Pullin, Andreas Damianou, Neil Lawrence, and Javier González. 2019. “Deep Gaussian Processes for Multi-Fidelity Modeling.” arXiv:1903.07320 [cs, Stat], March.
Kennedy, M. C., and A. O’Hagan. 2000. “Predicting the Output from a Complex Computer Code When Fast Approximations Are Available.” Biometrika 87 (1): 1–13.
Kennedy, Marc C., and Anthony O’Hagan. 2001. “Bayesian Calibration of Computer Models.” Journal of the Royal Statistical Society: Series B (Statistical Methodology) 63 (3): 425–64.
Perdikaris, P., M. Raissi, A. Damianou, N. D. Lawrence, and G. E. Karniadakis. 2017. “Nonlinear Information Fusion Algorithms for Data-Efficient Multi-Fidelity Modelling.” Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 473 (2198): 20160751.
Raissi, Maziar, and George Karniadakis. 2016. “Deep Multi-Fidelity Gaussian Processes.” arXiv:1604.07484 [cs, Stat], April.

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