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Yubin Lu (卢裕滨)
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Year
Detecting the maximum likelihood transition path from data of stochastic dynamical systems
M Dai, T Gao, Y Lu, Y Zheng, J Duan
Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (11), 2020
272020
Discovering transition phenomena from data of stochastic dynamical systems with Lévy noise
Y Lu, J Duan
Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (9), 2020
242020
Neural network stochastic differential equation models with applications to financial data forecasting
L Yang, T Gao, Y Lu, J Duan, T Liu
Applied Mathematical Modelling 115, 279-299, 2023
202023
An end-to-end deep learning approach for extracting stochastic dynamical systems with α-stable Lévy noise
C Fang, Y Lu, T Gao, J Duan
Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (6), 2022
152022
Learning the temporal evolution of multivariate densities via normalizing flows
Y Lu, R Maulik, T Gao, F Dietrich, IG Kevrekidis, J Duan
Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (3), 2022
132022
Extracting stochastic governing laws by non-local Kramers–Moyal formulae
Y Lu, Y Li, J Duan
Philosophical Transactions of the Royal Society A 380 (2229), 20210195, 2022
122022
Extracting stochastic dynamical systems with α-stable Lévy noise from data
Y Li, Y Lu, S Xu, J Duan
Journal of Statistical Mechanics: Theory and Experiment 2022 (2), 023405, 2022
92022
Reservoir computing with error correction: Long-term behaviors of stochastic dynamical systems
C Fang, Y Lu, T Gao, J Duan
Physica D: Nonlinear Phenomena 456, 133919, 2023
42023
Extracting stochastic dynamical systems with -stable L\'evy noise from data
Y Li, Y Lu, S Xu, J Duan
arXiv preprint arXiv:2109.14881, 2021
22021
Understanding the diffusion models by conditional expectations.
Y Lu, Z Wang, G Bal
arXiv preprint arXiv:2301.07882, 2023
12023
Finite Difference Approximation with ADI Scheme for Two-dimensional Keller-Segel Equations
Y Lu, CA Chen, X Li, C Liu
arXiv preprint arXiv:2310.20653, 2023
2023
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Articles 1–11