Publications

M. Kim, B. Brown, V. Pipiras, Parametric multi-fidelity Monte Carlo estimation with applications to extremes, 2025, revise and resubmit.

M. Kim, K. O’Connor, V. Pipiras, T. Sapsis, Sampling low-fidelity outputs for estimation of high-fidelity density and its tails, SIAM/ASA Journal on Uncertainty Quantification, 13, pp. 30-62, 2025.
M. Kim, T. Wen, K. Lee, Y. Choi, Physics-informed reduced order model with conditional neural fields, NeurIPS 2024 Workshop on Machine Learning and the Physical Sciences, 2024.
M. Kim, V. Pipiras, T. Sapsis, Statistical Reduced-Order Modeling of Peaks of Vertical Bending Moment in Irregular Waves, Proceedings of the 35th Symposium on Naval Hydrodynamics (SNH), Nates, France, 2024.
M. Kim, V. Pipiras, A. Reed, K. Weems, Calibration of low-fidelity ship motion programs through regressions of high-fidelity forces, Ocean Engineering, 290, 116321, 2023.
M. Kim, H. Oh, and Y. Lim, Zero-Inflated Time-Series Clustering Via Ensemble Thick-Pen Transform, Journal of Classification, 40, pp. 407–431, 2023.

S. Cheung et al., Survey on quadrature point selection in hyper-reduced order models for finite element methods.