Stochastic Physics-Informed Neural Ordinary Differential Equations (SPINODE) Stochastic differential equations (SDEs) are used to describe a wide variety of complex stochastic dynamical systems.

High-order uncertain differential equations are used to model differentiable uncertain systems with high-order differentials, and how to solve the high-order uncertain differential equations is a core ...

About This is a code repository for the ACL 2022 paper "ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation", which redesigns the Transformer architecture from ...

This paper addresses asymptotically minimum variance (AMV) algorithms within the class of algorithms based on second-order statistics for estimating direction-of-arrival (DOA) parameters of possibly ...