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Learning particle swarming models from data with Gaussian processes

Learning particle swarming models from data with Gaussian processes

4 June 2021
Jinchao Feng
Charles Kulick
Yunxiang Ren
Sui Tang
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Papers citing "Learning particle swarming models from data with Gaussian processes"

5 / 5 papers shown
Title
On the Identifiablility of Nonlocal Interaction Kernels in First-Order
  Systems of Interacting Particles on Riemannian Manifolds
On the Identifiablility of Nonlocal Interaction Kernels in First-Order Systems of Interacting Particles on Riemannian Manifolds
Sui Tang
Malik Tuerkoen
Hanming Zhou
19
4
0
21 May 2023
Mean-Field Nonparametric Estimation of Interacting Particle Systems
Mean-Field Nonparametric Estimation of Interacting Particle Systems
Rentian Yao
Xiaohui Chen
Yun Yang
43
9
0
16 May 2022
Learning Mean-Field Equations from Particle Data Using WSINDy
Learning Mean-Field Equations from Particle Data Using WSINDy
Daniel Messenger
David M. Bortz
22
37
0
14 Oct 2021
Maximum likelihood estimation of potential energy in interacting
  particle systems from single-trajectory data
Maximum likelihood estimation of potential energy in interacting particle systems from single-trajectory data
Xiaohui Chen
28
25
0
21 Jul 2020
Local Gaussian process approximation for large computer experiments
Local Gaussian process approximation for large computer experiments
R. Gramacy
D. Apley
119
391
0
02 Mar 2013
1