Yubin Lu

activity

20202026

most citedDiscovering transition phenomena from data of stochastic dynamical systems with Lévy noise

32 citations · 125 across the 15 of their papers we have counts for

collaborators

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3 papers · 1 filter

stat.ML2022★ 20 cited

An end-to-end deep learning approach for extracting stochastic dynamical systems with $α$ -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…

stat.ML2021

Extracting stochastic dynamical systems with $α$ -stable Lévy noise from data

Yang Li, Yubin Lu, Shengyuan Xu +1

With the rapid increase of valuable observational, experimental and simulated data for complex systems, much efforts have been devoted to identifying governing laws underlying the…

stat.ML2021★ 22 cited

Learning the temporal evolution of multivariate densities via normalizing flows

Yubin Lu, Romit Maulik, Ting Gao +3

In this work, we propose a method to learn multivariate probability distributions using sample path data from stochastic differential equations. Specifically, we consider temporall…

An end-to-end deep learning approach for extracting stochastic dynamical systems with α-stable Lévy noise

Extracting stochastic dynamical systems with α-stable Lévy noise from data

Learning the temporal evolution of multivariate densities via normalizing flows

An end-to-end deep learning approach for extracting stochastic dynamical systems with $α$ -stable Lévy noise

Extracting stochastic dynamical systems with $α$ -stable Lévy noise from data