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• W3012411611 abstract "In this paper, we propose a method, which allows us to alleviate or completely avoid the notorious problem of numerical instability and stiffness of the adjoint method for training neural ODE. On the backward pass, we propose to use the machinery of smooth function interpolation to restore the trajectory obtained during the forward integration. We show the viability of our approach, both in theory and practice." @default.
• W3012411611 created "2020-03-23" @default.
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• W3012411611 date "2020-03-11" @default.
• W3012411611 modified "2023-09-27" @default.
• W3012411611 title "Interpolated Adjoint Method for Neural ODEs." @default.
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