Publications

[Journal]

• M. Kim, B. Brown, V. Pipiras, Parametric multi-fidelity Monte Carlo estimation with applications to extremes, 2025, Technometrics, accepted.
• 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, 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.

[Conference]

• 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.

[Preprint]

• A. Larsson et al., Survey on quadrature point selection in hyper-reduced order models for finite element methods, 2025.
• M. Kim, S. Lee, B. Kim, Addressing Distribution Shift in RTB Markets via Exponential Tilting, arXiv, 2023.