Talgat Daulbaev

Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs

We propose a simple interpolation-based method for the efficient approximation of gradients in neural ODE models. We compare it with reverse dynamic method (known in literature as “adjoint method”) to train neural ODEs on classification, density estimation and inference approximation tasks. We als…