Experimental study of Neural ODE training with adaptive solver for dynamical systems modeling

Alexandre Allauzen, Thiago Petrilli Maffei Dardis, Hannah Plath

Neural Ordinary Differential Equations (ODEs) was recently introduced as a new family of neural network models, which relies on black-box ODE solvers for inference and training. So…