1 code implementation • 4 Jan 2022 • Georgios Kissas, Jacob Seidman, Leonardo Ferreira Guilhoto, Victor M. Preciado, George J. Pappas, Paris Perdikaris
Supervised operator learning is an emerging machine learning paradigm with applications to modeling the evolution of spatio-temporal dynamical systems and approximating general black-box relationships between functional data.
no code implementations • 15 May 2023 • Thomas Beckers, Jacob Seidman, Paris Perdikaris, George J. Pappas
Data-driven approaches achieve remarkable results for the modeling of complex dynamics based on collected data.