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cs.LG2026
Gaussian process learning with flow map refinement for parameter estimation in dynamical systems
Yue Hao, Dongwei Ye
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 p…
math.AP2026
Radially symmetric transition-layer solutions in mass-conserving reaction-diffusion systems with bistable nonlinearity
Xiaoqing He, Quan-Xing Liu, Dong Ye
Mass-conserving reaction-diffusion (MCRD) systems are widely used to model phase separation and pattern formation in cell polarity, biomolecular condensates, and ecological systems…