AI RESEARCH
Transfer Learning for Neural Parameter Estimation applied to Building RC Models
arXiv CS.LG
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ArXi:2604.05904v1 Announce Type: cross Parameter estimation for dynamical systems remains challenging due to non-convexity and sensitivity to initial parameter guesses. Recent deep learning approaches enable accurate and fast parameter estimation but do not exploit transferable knowledge across systems. To address this, we