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

5 / 5 papers shown
Title
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
32
3
0
06 Oct 2022
Mean-Field Nonparametric Estimation of Interacting Particle Systems
Mean-Field Nonparametric Estimation of Interacting Particle Systems
Rentian Yao
Xiaohui Chen
Yun Yang
48
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
42
22
0
12 May 2022
Learning Stochastic Dynamics with Statistics-Informed Neural Network
Learning Stochastic Dynamics with Statistics-Informed Neural Network
Yuanran Zhu
Yunhao Tang
Changho Kim
19
18
0
24 Feb 2022
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
42
14
0
10 Jun 2021
1