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Learning interaction kernels in stochastic systems of interacting
  particles from multiple trajectories

Learning interaction kernels in stochastic systems of interacting particles from multiple trajectories

30 July 2020
Fei Lu
Mauro Maggioni
Sui Tang
ArXivPDFHTML

Papers citing "Learning interaction kernels in stochastic systems of interacting particles from multiple trajectories"

14 / 14 papers shown
Title
A Sparse Bayesian Learning Algorithm for Estimation of Interaction Kernels in Motsch-Tadmor Model
A Sparse Bayesian Learning Algorithm for Estimation of Interaction Kernels in Motsch-Tadmor Model
Jinchao Feng
Sui Tang
26
0
0
11 May 2025
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
37
4
0
21 May 2023
Reproducing kernel Hilbert spaces in the mean field limit
Reproducing kernel Hilbert spaces in the mean field limit
Christian Fiedler
Michael Herty
M. Rom
C. Segala
Sebastian Trimpe
33
6
0
28 Feb 2023
Benchmarking optimality of time series classification methods in
  distinguishing diffusions
Benchmarking optimality of time series classification methods in distinguishing diffusions
Zehong Zhang
Fei Lu
Esther Xu Fei
Terry Lyons
Y. Kevrekidis
Tom Woolf
AI4TS
39
0
0
30 Jan 2023
Random Feature Models for Learning Interacting Dynamical Systems
Random Feature Models for Learning Interacting Dynamical Systems
Yuxuan Liu
S. McCalla
Hayden Schaeffer
26
12
0
11 Dec 2022
Neural parameter calibration for large-scale multi-agent models
Neural parameter calibration for large-scale multi-agent models
Thomas Gaskin
G. Pavliotis
Mark Girolami
AI4TS
26
23
0
27 Sep 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
37
14
0
10 Jun 2021
Learning particle swarming models from data with Gaussian processes
Learning particle swarming models from data with Gaussian processes
Jinchao Feng
Charles Kulick
Yunxiang Ren
Sui Tang
26
5
0
04 Jun 2021
Learning Theory for Inferring Interaction Kernels in Second-Order
  Interacting Agent Systems
Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems
Jason D Miller
Sui Tang
Ming Zhong
Mauro Maggioni
24
18
0
08 Oct 2020
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
30
25
0
21 Jul 2020
On the identifiability of interaction functions in systems of
  interacting particles
On the identifiability of interaction functions in systems of interacting particles
Zhongyan Li
Fei Lu
Mauro Maggioni
Sui Tang
C. Zhang
11
30
0
27 Dec 2019
On Krause's multi-agent consensus model with state-dependent
  connectivity (Extended version)
On Krause's multi-agent consensus model with state-dependent connectivity (Extended version)
V. Blondel
Julien Hendrickx
J. Tsitsiklis
90
444
0
13 Jul 2008
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