87 citations · 221 across the 37 of their papers we have counts for
4 papers · 1 filter
Learning effective dynamics from data-driven stochastic systems
Lingyu Feng, Ting Gao, Min Dai +1
Multiscale stochastic dynamical systems have been widely adopted to a variety of scientific and engineering problems due to their capability of depicting complex phenomena in many…
An Optimal Control Method to Compute the Most Likely Transition Path for Stochastic Dynamical Systems with Jumps
Wei Wei, Ting Gao, Jinqiao Duan +1
Many complex real world phenomena exhibit abrupt, intermittent or jumping behaviors, which are more suitable to be described by stochastic differential equations under non-Gaussian…
Autonomous inference of complex network dynamics from incomplete and noisy data
Ting-Ting Gao, Gang Yan
The availability of empirical data that capture the structure and behavior of complex networked systems has been greatly increased in recent years, however a versatile computationa…
An end-to-end deep learning approach for extracting stochastic dynamical systems with -stable Lévy noise
Cheng Fang, Yubin Lu, Ting Gao +1
Recently, extracting data-driven governing laws of dynamical systems through deep learning frameworks has gained a lot of attention in various fields. Moreover, a growing amount of…