most citedAdaptive surrogate modeling for high-dimensional spatio-temporal output

17 citations

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2 papers

cs.CE2026★ 2 cited

Multi-Level Bayesian Calibration of a Multi-Component Dynamic System Model

Berkcan Kapusuzoglu, Sankaran Mahadevan, Shunsaku Matsumoto +2

This paper proposes a multi-level Bayesian calibration approach that fuses information from heterogeneous sources and accounts for uncertainties in modeling and measurements for ti…

cs.CE2026★ 17 cited

Adaptive surrogate modeling for high-dimensional spatio-temporal output

Berkcan Kapusuzoglu, Shunsaku Matsumoto, Yoshitomo Miyagi +2

This paper develops an adaptive surrogate modeling method for problems with very high-dimensional spatio-temporal outputs. The analysis of spatio-temporal multi-physics systems is…