A New Class of High-Order Methods for Fluid Dynamics Simulations Using Gaussian Process Modeling: One-Dimensional Case. - Adam Reyes; Dongwook Lee 004; Carlo Graziani; Petros Tzeferacos (J. Sci. Comput., 2018)

A variable high-order shock-capturing finite difference method with GP-WENO. - Adam Reyes; Dongwook Lee 004; Carlo Graziani; Petros Tzeferacos (J. Comput. Phys., 2019)

An Application of Gaussian Process Modeling for High-order Accurate Adaptive Mesh Refinement Prolongation. - Steven I. Reeves; Dongwook Lee 004; Adam Reyes; Carlo Graziani; Petros Tzeferacos (CoRR, 2020)

A Deep Learning Approach to Probabilistic Forecasting of Weather. - Nick Rittler; Carlo Graziani; Jiali Wang; Rao Kotamarthi (CoRR, 2022)

Memory-efficient emulation of physical tabular data using quadtree decomposition. - Jared Carlson; Sean M. Couch; Brian W. O'Shea; Carlo Graziani (J. Comput. Sci., 2022)

Simultaneous Reconstruction and Uncertainty Quantification for Tomography. - Agnimitra Dasgupta; Carlo Graziani; Zichao Wendy Di (ICASSP, 2023)

OS-net: Orbitally Stable Neural Networks. - Marieme Ngom; Carlo Graziani (CoRR, 2023)

Targeted Adaptive Design. - Carlo Graziani; Marieme Ngom (SIAM/ASA J. Uncertain. Quantification, 2024)