Robert Stephany

According to our database, Robert Stephany authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

PDE-LEARN: Using deep learning to discover partial differential equations from noisy, limited data.

Robert Stephany, Christopher J. Earls

Neural Networks, 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

DDE-Find: Learning Delay Differential Equations from Noisy, Limited Data.

Robert Stephany

CoRR, 2024

2023

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

2022

PDE-READ: Human-readable partial differential equation discovery using deep learning.

Robert Stephany, Christopher J. Earls

Neural Networks, 2022