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Katharina Ott

2 accepted papers

2023

Baysian numerical integration with neural networks

UAI 2023poster

Bayesian probabilistic numerical methods for numerical integration offer significant advantages over their non-Bayesian counterparts: they can encode prior information about the integrand, and can quantify uncertainty over estimates of an integral. However, the most popular algorithm in this class,…

2021

ResNet After All: Neural ODEs and Their Numerical Solution

ICLR 2021poster

A key appeal of the recently proposed Neural Ordinary Differential Equation (ODE) framework is that it seems to provide a continuous-time extension of discrete residual neural networks. As we show herein, though, trained Neural ODE models actually depend on the specific numerical method used during…