On the identifiability of interaction functions in systems of
interacting particles

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On the identifiability of interaction functions in systems of interacting particles

27 December 2019

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Papers citing "On the identifiability of interaction functions in systems of interacting particles"

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Title
Probabilistic cellular automata with local transition matrices: synchronization, ergodicity, and inference Erhan Bayraktar Fei Lu Mauro Maggioni Ruoyu Wu Sichen Yang 47 0 0 05 May 2024
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
On the Identifiablility of Nonlocal Interaction Kernels in First-Order Systems of Interacting Particles on Riemannian Manifolds Sui Tang Malik Tuerkoen Hanming Zhou 70 4 0 21 May 2023
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
Random Feature Models for Learning Interacting Dynamical Systems Yuxuan Liu S. McCalla Hayden Schaeffer 101 12 0 11 Dec 2022
Unsupervised learning of observation functions in state-space models by nonparametric moment methods Qi An Yannis G. Kevrekidis Fei Lu Mauro Maggioni 36 2 0 12 Jul 2022
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 Rentian Yao Xiaohui Chen Yun Yang 118 9 0 16 May 2022
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 Fei Lu Quanjun Lang Qi An 57 12 0 08 Mar 2022
Learning Mean-Field Equations from Particle Data Using WSINDy Daniel Messenger David M. Bortz 99 37 0 14 Oct 2021
Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation Louis Sharrock N. Kantas P. Parpas G. Pavliotis 98 28 0 25 Jun 2021
Identifiability of interaction kernels in mean-field equations of interacting particles Quanjun Lang Fei Lu 89 15 0 10 Jun 2021
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds Mauro Maggioni Jason D Miller H. Qui Ming Zhong 55 8 0 30 Jan 2021
On the coercivity condition in the learning of interacting particle systems Zhongyan Li Fei Lu 67 4 0 20 Nov 2020
Learning interaction kernels in mean-field equations of 1st-order systems of interacting particles Quanjun Lang Fei Lu 60 22 0 29 Oct 2020
Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems Jason D Miller Sui Tang Ming Zhong Mauro Maggioni 64 18 0 08 Oct 2020
Learning interaction kernels in stochastic systems of interacting particles from multiple trajectories Fei Lu Mauro Maggioni Sui Tang 77 45 0 30 Jul 2020
Maximum likelihood estimation of potential energy in interacting particle systems from single-trajectory data Xiaohui Chen 72 25 0 21 Jul 2020