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Author

Dongwei Ye

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Preprint Aug 2026

Gaussian process learning with flow map refinement for parameter estimation in dynamical systems

Parameter estimation is a central task in data-driven learning of dynamical systems. It aims to recover the underlying physical parameters from observed time-series data, thereby providing interpretable insights into the physical mechanisms governing the system. Gradient/derivative matching methods based on Gaussian pr...

Yue Hao, Dongwei Ye · 0 citations
Book Open access Jul 2026

GauSmoke: Hybrid Physics-Optical Gaussian Splatting for Sparse Smoke Reconstruction

This work develops a Beer–Lambert volumetric model mapping Gaussian primitives to a continuous, physically-grounded density field, bridging optical observations with fundamental physical laws, and achieves stable 3D reconstructions even from sparse views.

Wenran Zhang, Yuxiang Cai, Letian Huang et al. · 1 citation

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