3 papers
stat.ME2025
Overcoming error-in-variable problem in data-driven model discovery by orthogonal distance regression
Lloyd Fung
Despite the recent proliferation of machine learning methods like SINDy that promise automatic discovery of governing equations from time-series data, there remain significant chal…
cond-mat.soft2024
Foundation and challenges in modelling Dilute Active Suspensions
Lloyd Fung, Hakan O. Caldag, Martin A. Bees
Active suspensions, which consist of suspended self-propelling particles such as swimming microorganisms, often exhibit non-trivial transport properties. Continuum models are frequ…
stat.ME2024
Rapid Bayesian identification of sparse nonlinear dynamics from scarce and noisy data
Lloyd Fung, Urban Fasel, Matthew P. Juniper
We propose a fast probabilistic framework for identifying differential equations governing the dynamics of observed data. We recast the SINDy method within a Bayesian framework and…