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most citedSymbolic Recovery of Differential Equations: The Identifiability Problem

2 citations

researchers with a paper here

Aras Bacho1 · h 6
Auditory Signal Processing1 · h 0
Big Data in Medicine Universitaet Oldenburg Germany1 · h 0
Birger Kollmeier Medical Physics Universitaet Oldenburg Germany1 · h 0
Cluster of Excellence Hearing4all1 · h 1
D. Oldenburg1 · h 1
Fraunhofer Institute for Media Technology Oldenburg Germany1 · h 0
Germany1 · h 1
Gitta Kutyniok1 · h 57
H. Boche1 · h 50
Hearing Devices Universitaet Oldenburg Germany1 · h 0
Hendrik Kayser1 · h 2

collaborating institutions

BMW (Germany)DE1 paper
Carl von Ossietzky Universität OldenburgDE1 paper
Centre for Tactile Internet with Human-in-the-LoopDE1 paper
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE1 paper
Fraunhofer Institute for Digital Media TechnologyDE1 paper
Klinikum OldenburgDE1 paper
Ludwig-Maximilians-Universität MünchenDE1 paper
Munich Center for Machine Learning1 paper
Munich Center for Quantum Science and TechnologyDE1 paper
Munich School of PhilosophyDE1 paper
Technical University of MunichDE1 paper
UiT The Arctic University of NorwayNO1 paper

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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…