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"

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Title
Dimension-Free Minimax Rates for Learning Pairwise Interactions in Attention-Style Models Shai Zucker Xiong Wang Fei Lu Inbar Seroussi 129 0 0 13 Oct 2025
Kinetic interacting particle system: parameter estimation from complete and partial discrete observations Chiara Amorino Vytaut.e Pilipauskait.e 185 3 0 14 Oct 2024
On nonparametric estimation of the interaction function in particle system models Denis Belomestny M. Podolskij Shi-Yuan Zhou 144 6 0 22 Feb 2024
Polynomial rates via deconvolution for nonparametric estimation in McKean-Vlasov SDEsProbability theory and related fields (PTRF), 2024 Chiara Amorino Denis Belomestny Vytaut.e Pilipauskait.e M. Podolskij Shi-Yuan Zhou 199 14 0 09 Jan 2024
Learning Collective Behaviors from Observation Jinchao Feng Ming Zhong 294 3 0 01 Nov 2023
On the Identifiablility of Nonlocal Interaction Kernels in First-Order Systems of Interacting Particles on Riemannian ManifoldsSIAM Journal on Applied Mathematics (SIAM J. Appl. Math.), 2023 Sui Tang Malik Tuerkoen Hanming Zhou 239 5 0 21 May 2023
Learning Nonlinear Couplings in Network of Agents from a Single Sample TrajectoryIEEE Transactions on Control of Network Systems (IEEE TCNS), 2022 Arash A. Amini Qiyu Sun N. Motee 129 0 0 20 Nov 2022
Neural parameter calibration for large-scale multi-agent modelsProceedings of the National Academy of Sciences of the United States of America (PNAS), 2022 Thomas Gaskin G. Pavliotis Mark Girolami AI4TS 289 31 0 27 Sep 2022
Parameter estimation of discretely observed interacting particle systemsStochastic Processes and their Applications (SPA), 2022 Chiara Amorino A. Heidari Vytaut.e Pilipauskait.e M. Podolskij 217 33 0 25 Aug 2022
Mean-Field Nonparametric Estimation of Interacting Particle SystemsAnnual Conference Computational Learning Theory (COLT), 2022 Rentian Yao Xiaohui Chen Yun Yang 303 12 0 16 May 2022
The LAN property for McKean-Vlasov models in a mean-field regimeStochastic Processes and their Applications (SPA), 2022 Laetitia Della Maestra M. Hoffmann 140 30 0 12 May 2022
Learning stochastic dynamics and predicting emergent behavior using transformersNature Communications (Nat Commun), 2022 Corneel Casert Isaac Tamblyn S. Whitelam AI4CE 157 11 0 17 Feb 2022
Learning Mean-Field Equations from Particle Data Using WSINDy Daniel Messenger David M. Bortz 147 44 0 14 Oct 2021
Identifiability of interaction kernels in mean-field equations of interacting particlesFoundations of Data Science (FODS), 2021 Quanjun Lang Fei Lu 268 18 0 10 Jun 2021
Learning particle swarming models from data with Gaussian processesMathematics of Computation (Math. Comp.), 2021 Jinchao Feng Charles Kulick Yunxiang Ren Sui Tang 301 9 0 04 Jun 2021
On the coercivity condition in the learning of interacting particle systemsStochastics and Dynamics (Stoch. Dyn.), 2020 Zhongyan Li Fei Lu 250 5 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 183 23 0 08 Oct 2020
Learning interaction kernels in stochastic systems of interacting particles from multiple trajectoriesFoundations of Computational Mathematics (FoCM), 2020 Fei Lu Mauro Maggioni Sui Tang 197 52 0 30 Jul 2020