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

30 July 2020

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

26 / 26 papers shown

Title
A Sparse Bayesian Learning Algorithm for Estimation of Interaction Kernels in Motsch-Tadmor Model Jinchao Feng Sui Tang 82 0 0 11 May 2025
Unbiased Approximations for Stationary Distributions of McKean-Vlasov SDEs Elsiddig Awadelkarim Neil K. Chada Ajay Jasra 74 0 0 18 Nov 2024
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
Learning Collective Behaviors from Observation Jinchao Feng Ming Zhong 72 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 65 4 0 21 May 2023
Reproducing kernel Hilbert spaces in the mean field limit Christian Fiedler Michael Herty M. Rom C. Segala Sebastian Trimpe 64 6 0 28 Feb 2023
Benchmarking optimality of time series classification methods in distinguishing diffusions Zehong Zhang Fei Lu Esther Xu Fei Terry Lyons Yannis G. Kevrekidis Tom Woolf AI4TS 71 0 0 30 Jan 2023
Inference of interaction kernels in mean-field models of opinion dynamics Weiqi Chu Qin Li M. A. Porter 36 4 0 29 Dec 2022
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 99 12 0 11 Dec 2022
Neural parameter calibration for large-scale multi-agent models Thomas Gaskin G. Pavliotis Mark Girolami AI4TS 100 23 0 27 Sep 2022
Nonparametric learning of kernels in nonlocal operators Fei Lu Qi An Yue Yu 72 19 0 23 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 Stochastic Dynamics with Statistics-Informed Neural Network Yuanran Zhu Yunhao Tang Changho Kim 87 19 0 24 Feb 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 particle swarming models from data with Gaussian processes Jinchao Feng Charles Kulick Yunxiang Ren Sui Tang 49 6 0 04 Jun 2021
ISALT: Inference-based schemes adaptive to large time-stepping for locally Lipschitz ergodic systems X. Li Fei Lu F. Ye 40 3 0 25 Feb 2021
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds Mauro Maggioni Jason D Miller H. Qui Ming Zhong 43 8 0 30 Jan 2021
On the coercivity condition in the learning of interacting particle systems Zhongyan Li Fei Lu 57 4 0 20 Nov 2020
Learning interaction kernels in mean-field equations of 1st-order systems of interacting particles Quanjun Lang Fei Lu 55 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
On the identifiability of interaction functions in systems of interacting particles Zhongyan Li Fei Lu Mauro Maggioni Sui Tang C. Zhang 57 30 0 27 Dec 2019