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DynGMA: a robust approach for learning stochastic differential equations from data
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DynGMA: a robust approach for learning stochastic differential equations from data

Aiqing Zhu
Qianxiao Li
ArXiv (abs)PDFHTML

Papers citing "DynGMA: a robust approach for learning stochastic differential equations from data"

3 / 3 papers shown
Title
Anomaly Detection and Generation with Diffusion Models: A Survey
Anomaly Detection and Generation with Diffusion Models: A Survey
Yang Liu
Jing Liu
Chengfang Li
Rui Xi
W. Li
Liang Cao
Jin Wang
L. Yang
Junsong Yuan
Wei Zhou
DiffMMedIm
54
0
0
11 Jun 2025
The Stochastic Occupation Kernel (SOCK) Method for Learning Stochastic Differential Equations
The Stochastic Occupation Kernel (SOCK) Method for Learning Stochastic Differential Equations
Michael L. Wells
Kamel Lahouel
Bruno Jedynak
48
0
0
16 May 2025
A Robust Model-Based Approach for Continuous-Time Policy Evaluation with Unknown Lévy Process Dynamics
A Robust Model-Based Approach for Continuous-Time Policy Evaluation with Unknown Lévy Process Dynamics
Qihao Ye
Xiaochuan Tian
Yuhua Zhu
95
1
0
02 Apr 2025