A curated paper list of existing Multi-fidelity Fusion for
Electronic Design Automation (EDA) studies.
The list is under construction.
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1. |
GAR: Generalized Autoregression for Multi-Fidelity Fusion [paper] [slides] Yuxin Wang, Zheng Xing, and WEI W. XING NeurlPS 2022 |
2. |
Deep coregionalization for the emulation of simulation-based spatial-temporal fields [paper] Wei W.Xing, Robert M.Kirby, and Shandian Zhe computational 2021 |
3. |
Residual Gaussian process: A tractable nonparametric Bayesian emulator for multi-fidelity simulations [paper] W. W. Xing, A. A. Shah, P. Wang, S. Zhe, Q. Fu, and R. M. Kirby Applied_Mathematical_Modeling 2021 |
4. |
Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling [paper] P.Perdikaris, M.Raissi, A.Damianou, N.D.Lawrence, and G.E.Karniadakis royalsocietypublishing 2017 |
5. |
Predicting the Output from a Complex Computer Code When Fast Approximations Are Available [paper] M.C.Kennedy and A.O'Hagan JSTOR 2000 |
1. |
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes [paper] Jialin Song, Yuxin Chen, and Yisong Yue Artificial Intelligence and Statistics Conference 2018 |
2. |
Multi-Information Source Optimization [paper] Matthias Poloczek, Jialei Wang, and Peter I. Frazier Advances in neural information processing systems 2017 |
1. |
Greedy nonlinear autoregression for multifidelity computer models at different scales [paper] W. Xing, M. Razi, R. M. Kirby, K. Sun, and A. A. Shah Energy and AI 2020 |
2. |
Multi-fidelity Gaussian process regression for prediction of random fields [paper] Lucia Parussini, Daniele Venturi, Paris Perdikaris, and George E Karniadakis Journal of Computational Physicse 2017 |
1. |
Multi-Fidelity High-Order Gaussian Processes for Physical Simulation [paper] Zheng Wang, Wei Xing, Robert Kirby, and Shandian Zhe Artificial Intelligence and Statistics Conference 2020 |
1. |
Review of multi-fidelity models [paper] M. Giselle Fernández-Godino, Chanyoung Park, Nam-Ho Kim, and Raphael T. Haftka arxiv 2023 |
2. |
Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization [paper] B. Peherstorfer, K. Willcox, and M. Gunzburger SIAM Review 2018 |
1. |
Bayesian Analysis of Hierarchical Multifidelity Codes [paper] Loic Le Gratiet SIAM/ASA Journal on Uncertainty Quantification 2013 |
Last updated on 2024-2-19 .