Maximum likelihood estimation of potential energy in interacting
particle systems from single-trajectory data

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Maximum likelihood estimation of potential energy in interacting particle systems from single-trajectory data

21 July 2020

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Papers citing "Maximum likelihood estimation of potential energy in interacting particle systems from single-trajectory data"

12 / 12 papers shown

Title
On nonparametric estimation of the interaction function in particle system models Denis Belomestny M. Podolskij Shi-Yuan Zhou 63 2 0 22 Feb 2024
On the Identifiablility of Nonlocal Interaction Kernels in First-Order Systems of Interacting Particles on Riemannian Manifolds Sui Tang Malik Tuerkoen Hanming Zhou 77 4 0 21 May 2023
Learning Nonlinear Couplings in Network of Agents from a Single Sample Trajectory Arash A. Amini Qiyu Sun N. Motee 71 0 0 20 Nov 2022
Neural parameter calibration for large-scale multi-agent models Thomas Gaskin G. Pavliotis Mark Girolami AI4TS 112 23 0 27 Sep 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
Learning Mean-Field Equations from Particle Data Using WSINDy Daniel Messenger David M. Bortz 99 37 0 14 Oct 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 84 6 0 04 Jun 2021
On the coercivity condition in the learning of interacting particle systems Zhongyan Li Fei Lu 76 4 0 20 Nov 2020
Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems Jason D Miller Sui Tang Ming Zhong Mauro Maggioni 69 18 0 08 Oct 2020
Learning interaction kernels in stochastic systems of interacting particles from multiple trajectories Fei Lu Mauro Maggioni Sui Tang 87 45 0 30 Jul 2020