Identifiability of interaction kernels in mean-field equations of interacting particles

10 June 2021

Papers citing "Identifiability of interaction kernels in mean-field equations of interacting particles"

10 / 10 papers shown

Title
Data-Driven Model Selections of Second-Order Particle Dynamics via Integrating Gaussian Processes with Low-Dimensional Interacting Structures Jinchao Feng Charles Kulick Sui Tang 24 2 0 01 Nov 2023
Learning Collective Behaviors from Observation Jinchao Feng Ming Zhong 14 2 0 01 Nov 2023
A Data-Adaptive Prior for Bayesian Learning of Kernels in Operators Neil K. Chada Quanjun Lang Fei Lu X. Wang 11 2 0 29 Dec 2022
Unsupervised learning of observation functions in state-space models by nonparametric moment methods Qi An Y. Kevrekidis Fei Lu Mauro Maggioni 10 2 0 12 Jul 2022
Nonparametric learning of kernels in nonlocal operators Fei Lu Qi An Yue Yu 35 18 0 23 May 2022
Mean-Field Nonparametric Estimation of Interacting Particle Systems Rentian Yao Xiaohui Chen Yun Yang 43 9 0 16 May 2022
The LAN property for McKean-Vlasov models in a mean-field regime Laetitia Della Maestra M. Hoffmann 26 22 0 12 May 2022
Data adaptive RKHS Tikhonov regularization for learning kernels in operators Fei Lu Quanjun Lang Qi An 14 12 0 08 Mar 2022
Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation Louis Sharrock N. Kantas P. Parpas G. Pavliotis 21 26 0 25 Jun 2021
Maximum likelihood estimation of potential energy in interacting particle systems from single-trajectory data Xiaohui Chen 28 25 0 21 Jul 2020