Sparse inference and active learning of stochastic differential equations from data

Abstract Automatic machine learning of empirical models from experimental data has recently become possible as a result of increased availability of computational power and dedicated algorithms. Despite the successes of non-parametric inference and neural-network-based inference for empirical modell...

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Bibliographic Details
Main Authors: Yunfei Huang, Youssef Mabrouk, Gerhard Gompper, Benedikt Sabass
Format: Article
Language:English
Published: Nature Portfolio 2022-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-25638-9