ANODEV2: A Coupled Neural ODE Framework

NeurIPS 2019 Tianjun ZhangZhewei YaoAmir GholamiJoseph E. GonzalezKurt KeutzerMichael W. MahoneyGeorge Biros

It has been observed that residual networks can be viewed as the explicit Euler discretization of an Ordinary Differential Equation (ODE). This observation motivated the introduction of so-called Neural ODEs, in which other discretization schemes and/or adaptive time stepping techniques can be used to improve the performance of residual networks... (read more)

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