On the identifiability of interaction functions in systems of
interacting particles

On the identifiability of interaction functions in systems of interacting particles

27 December 2019

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

19 / 19 papers shown

Title
Probabilistic cellular automata with local transition matrices: synchronization, ergodicity, and inference Erhan Bayraktar Fei Lu Mauro Maggioni Ruoyu Wu Sichen Yang 19 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 31 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 40 4 0 21 May 2023
A Data-Adaptive Prior for Bayesian Learning of Kernels in Operators Neil K. Chada Quanjun Lang Fei Lu Xinbing Wang 30 2 0 29 Dec 2022
Random Feature Models for Learning Interacting Dynamical Systems Yuxuan Liu S. McCalla Hayden Schaeffer 26 12 0 11 Dec 2022
Unsupervised learning of observation functions in state-space models by nonparametric moment methods Qi An Y. Kevrekidis Fei Lu Mauro Maggioni 17 2 0 12 Jul 2022
Nonparametric learning of kernels in nonlocal operators Fei Lu Qi An Yue Yu 37 18 0 23 May 2022
Mean-Field Nonparametric Estimation of Interacting Particle Systems Rentian Yao Xiaohui Chen Yun Yang 45 9 0 16 May 2022
The LAN property for McKean-Vlasov models in a mean-field regime Laetitia Della Maestra M. Hoffmann 42 22 0 12 May 2022
Data adaptive RKHS Tikhonov regularization for learning kernels in operators Fei Lu Quanjun Lang Qi An 30 12 0 08 Mar 2022
Learning Mean-Field Equations from Particle Data Using WSINDy Daniel Messenger David M. Bortz 34 37 0 14 Oct 2021
Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation Louis Sharrock N. Kantas P. Parpas G. Pavliotis 32 27 0 25 Jun 2021
Identifiability of interaction kernels in mean-field equations of interacting particles Quanjun Lang Fei Lu 42 14 0 10 Jun 2021
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds Mauro Maggioni Jason D Miller H. Qui Ming Zhong 19 8 0 30 Jan 2021
On the coercivity condition in the learning of interacting particle systems Zhongyan Li Fei Lu 23 4 0 20 Nov 2020
Learning interaction kernels in mean-field equations of 1st-order systems of interacting particles Quanjun Lang Fei Lu 8 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 26 18 0 08 Oct 2020
Learning interaction kernels in stochastic systems of interacting particles from multiple trajectories Fei Lu Mauro Maggioni Sui Tang 23 45 0 30 Jul 2020
Maximum likelihood estimation of potential energy in interacting particle systems from single-trajectory data Xiaohui Chen 32 25 0 21 Jul 2020