Learning via nonlinear conjugate gradients and depth-varying neural ODEs

George Baravdish, Gabriel Eilertsen, Rym Jaroudi +3

The inverse problem of supervised reconstruction of depth-variable (time-dependent) parameters in a neural ordinary differential equation (NODE) is considered, that means finding t…