15 citations as recorded by crossref.

1. Rapid tsunami force prediction by mode-decomposition-based surrogate modeling K. Tozato et al.
2. Efficient probabilistic prediction of tsunami inundation considering random tsunami sources and the failure probability of seawalls Y. Fukutani et al.
3. Pseudo-Probabilistic Design for High-Resolution Tsunami Simulations in the Southwestern Spanish Coast A. González et al.
4. Optimal probabilistic placement of facilities using a surrogate model for 3D tsunami simulations K. Tozato et al.
5. A neural network-based surrogate model for efficient probabilistic tsunami inundation assessment Y. Fukutani & M. Motoki
6. Landslide-Tsurrogate v1.0: a computationally efficient framework for probabilistic tsunami hazard assessment applied to Mayotte (France) C. Denamiel et al.
7. APPLICATION OF GAUSSIAN PROCESS REGRESSION TO IMPROVE THE EFFICIENCY OF TSUNAMI PREDICTIONS IN PROBABILISTIC TSUNAMI HAZARD ANALYSIS T. KURITA et al.
8. Deep Gaussian Process Emulation using Stochastic Imputation D. Ming et al.
9. Probabilistic landslide-generated impulse waves estimation in mountain reservoirs, a case study H. Ma et al.
10. Emulation of high-resolution land surface models using sparse Gaussian processes with application to JULES E. Baker et al.
11. Uncertainty in Manning’s roughness coefficient in multilevel simulations of future tsunamis in Sumatra K. Li et al.
12. Rapid prediction of rainfall-induced landslides over a wide area aided by a simulation-based surrogate model K. Tozato et al.
13. Probabilistic Landslide Tsunami Estimation in the Makassar Strait, Indonesia, Using Statistical Emulation J. Dignan et al.
14. Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates N. Ragu Ramalingam et al.
15. Embedding machine-learnt sub-grid variability improves climate model precipitation patterns D. Giles et al.