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cs.LG2022
Composing a surrogate observation operator for sequential data assimilation
Kosuke Akita, Yuto Miyatake, Daisuke Furihata
In data assimilation, state estimation is not straightforward when the observation operator is unknown. This study proposes a method for composing a surrogate operator when the tru…
cs.LG2021★ 5 cited
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory
Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi
A neural network model of a differential equation, namely neural ODE, has enabled the learning of continuous-time dynamical systems and probabilistic distributions with high accura…