Qin Li

Correcting Autodifferentiation in Neural ODE Training

Abstract. Does the use of autodifferentiation yield reasonable updates for deep neural networks (DNNs)? Specifically, when DNNs are designed to adhere to neural ODE architectures, can we trust the gradients provided by autodifferentiation? Through mathematical analysis and numeri...