2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2026★ 2 cited
Symbolic Recovery of Differential Equations: The Identifiability Problem
Philipp Scholl, Aras Bacho, Holger Boche +1
Symbolic recovery of differential equations is the ambitious attempt at automating the derivation of governing equations with the use of machine learning techniques. In contrast to…
cs.LG2026
Symbolic recovery of PDEs from measurement data
Erion Morina, Philipp Scholl, Martin Holler
Models based on partial differential equations (PDEs) are powerful for describing a wide range of complex phenomena in the natural sciences. Accurately identifying the PDE model, w…