ode

Time series analysis has long been dominated by traditional statistical methods and recurrent neural networks, but a revolutionary approach is changing how we think about modeling sequential data. Neural Ordinary Differential Equations (Neural ODEs) represent a paradigm shift that treats neural networks as continuous dynamical systems, offering unprecedented flexibility and theoretical elegance for time series … Read more