PDE-READ: Human-readable partial differential equation discovery using deep learning. - Robert Stephany; Christopher J. Earls (Neural Networks, 2022)

Learning the Delay Using Neural Delay Differential Equations. - Maria Oprea; Mark Walth; Robert Stephany; Gabriella Torres Nothaft; Arnaldo Rodriguez-Gonzalez; William A. Clark (CoRR, 2023)

DDE-Find: Learning Delay Differential Equations from Noisy, Limited Data. - Robert Stephany (CoRR, 2024)

Weak-PDE-LEARN: A weak form based approach to discovering PDEs from noisy, limited data. - Robert Stephany; Christopher J. Earls (J. Comput. Phys., 2024)

PDE-LEARN: Using deep learning to discover partial differential equations from noisy, limited data. - Robert Stephany; Christopher J. Earls (Neural Networks, 2024)