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Learning interaction kernels in mean-field equations of 1st-order
  systems of interacting particles

Learning interaction kernels in mean-field equations of 1st-order systems of interacting particles

29 October 2020
Quanjun Lang
Fei Lu
ArXiv (abs)PDFHTML

Papers citing "Learning interaction kernels in mean-field equations of 1st-order systems of interacting particles"

14 / 14 papers shown
Title
Data-Driven Model Selections of Second-Order Particle Dynamics via
  Integrating Gaussian Processes with Low-Dimensional Interacting Structures
Data-Driven Model Selections of Second-Order Particle Dynamics via Integrating Gaussian Processes with Low-Dimensional Interacting Structures
Jinchao Feng
Charles Kulick
Sui Tang
112
2
0
01 Nov 2023
Learning Collective Behaviors from Observation
Learning Collective Behaviors from Observation
Jinchao Feng
Ming Zhong
72
2
0
01 Nov 2023
Small noise analysis for Tikhonov and RKHS regularizations
Small noise analysis for Tikhonov and RKHS regularizations
Quanjun Lang
Fei Lu
57
5
0
18 May 2023
A Data-Adaptive Prior for Bayesian Learning of Kernels in Operators
A Data-Adaptive Prior for Bayesian Learning of Kernels in Operators
Neil K. Chada
Quanjun Lang
Fei Lu
Xiang Wang
61
3
0
29 Dec 2022
Bayesian Nonlocal Operator Regression (BNOR): A Data-Driven Learning
  Framework of Nonlocal Models with Uncertainty Quantification
Bayesian Nonlocal Operator Regression (BNOR): A Data-Driven Learning Framework of Nonlocal Models with Uncertainty Quantification
Yiming Fan
M. DÉlia
Yue Yu
H. Najm
Stewart Silling
77
3
0
06 Oct 2022
Nonparametric learning of kernels in nonlocal operators
Nonparametric learning of kernels in nonlocal operators
Fei Lu
Qi An
Yue Yu
72
19
0
23 May 2022
Mean-Field Nonparametric Estimation of Interacting Particle Systems
Mean-Field Nonparametric Estimation of Interacting Particle Systems
Rentian Yao
Xiaohui Chen
Yun Yang
118
9
0
16 May 2022
The LAN property for McKean-Vlasov models in a mean-field regime
The LAN property for McKean-Vlasov models in a mean-field regime
Laetitia Della Maestra
M. Hoffmann
65
22
0
12 May 2022
Data adaptive RKHS Tikhonov regularization for learning kernels in
  operators
Data adaptive RKHS Tikhonov regularization for learning kernels in operators
Fei Lu
Quanjun Lang
Qi An
57
12
0
08 Mar 2022
Learning Stochastic Dynamics with Statistics-Informed Neural Network
Learning Stochastic Dynamics with Statistics-Informed Neural Network
Yuanran Zhu
Yunhao Tang
Changho Kim
87
19
0
24 Feb 2022
Learning Mean-Field Equations from Particle Data Using WSINDy
Learning Mean-Field Equations from Particle Data Using WSINDy
Daniel Messenger
David M. Bortz
99
37
0
14 Oct 2021
Identifiability of interaction kernels in mean-field equations of
  interacting particles
Identifiability of interaction kernels in mean-field equations of interacting particles
Quanjun Lang
Fei Lu
89
15
0
10 Jun 2021
On the coercivity condition in the learning of interacting particle
  systems
On the coercivity condition in the learning of interacting particle systems
Zhongyan Li
Fei Lu
67
4
0
20 Nov 2020
Cluster Prediction for Opinion Dynamics from Partial Observations
Cluster Prediction for Opinion Dynamics from Partial Observations
Zehong Zhang
Fei Lu
66
3
0
04 Jul 2020
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