#sparse identification
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2 papers match
q-bio.PE2026
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data
Bernard Asamoah Afful, Changhong Mou, Luis Gordillo
The paper introduces a hybrid framework that combines Sparse Identification of Nonlinear Dynamics (SINDy) with the Ensemble Kalman Filter (EnKF) to learn and predict Chikungunya vi…
#disease modeling#data assimilation#sparse identification#ensemble kalman filter
cs.LG2026
An Introduction to Sparse Identification of Nonlinear Dynamics for Engineering Applications
Yao Cheng Li, Ana Larrañaga, Steven L. Brunton +1
The paper presents a tutorial on the Sparse Identification of Nonlinear Dynamics (SINDy) method, showing how sparse regression can uncover interpretable governing equations from sm…
#sparse identification#nonlinear dynamics#system identification#engineering applications