Fei Lu
Cited by
Cited by
Nonparametric inference of interaction laws in systems of agents from trajectory data
F Lu, M Zhong, S Tang, M Maggioni
Proceedings of the National Academy of Sciences 116 (29), 14424-14433, 2019
Discrete approach to stochastic parametrization and dimension reduction in nonlinear dynamics
AJ Chorin, F Lu
Proceedings of the National Academy of Sciences 112 (32), 9804-9809, 2015
Data-based stochastic model reduction for the Kuramoto–Sivashinsky equation
F Lu, KK Lin, AJ Chorin
Physica D: Nonlinear Phenomena 340, 46-57, 2017
Data-driven model reduction, Wiener projections, and the Koopman-Mori-Zwanzig formalism
KK Lin, F Lu
Journal of Computational Physics, 2020
Learning interaction kernels in heterogeneous systems of agents from multiple trajectories
F Lu, M Maggioni, S Tang
Journal of Machine Learning Research 22 (32), 1-67, 2021
Limitations of polynomial chaos expansions in the Bayesian solution of inverse problems
F Lu, M Morzfeld, X Tu, AJ Chorin
Journal of Computational Physics 282, 138-147, 2015
Feynman–Kac formula for the heat equation driven by fractional noise with Hurst parameter H< 1/2
Y Hu, F Lu, D Nualart
Ann. Probab. 40 (3), 1041-1068, 2012
On the identifiability of interaction functions in systems of interacting particles
Z Li, F Lu, M Maggioni, S Tang, C Zhang
Stochastic Processes and Applications 132, 135-163, 2021
Convergence of densities of some functionals of Gaussian processes
Y Hu, F Lu, D Nualart
Journal of Functional Analysis 266 (2), 814-875, 2014
Comparison of continuous and discrete-time data-based modeling for hypoelliptic systems
F Lu, K Lin, A Chorin
Communications in Applied Mathematics and Computational Science 11 (2), 187-216, 2016
Learning interaction kernels in mean-field equations of 1st-order systems of interacting particles
Q Lang, F Lu
SIAM Journal on Scientific Computing 44 (1), A260–A285, 2022
Accounting for model error from unresolved scales in ensemble Kalman filters by stochastic parameterization
F Lu, X Tu, AJ Chorin
Monthly Weather Review 145 (9), 3709-3723, 2017
Data-driven model reduction for stochastic Burgers equations
F Lu
Entropy 22 (12), 2020
Identifiability of interaction kernels in mean-field equations of interacting particles
Q Lang, F Lu
Foundations of Data Science (FoDS) 5 (4), 480-502, 2023
Sampling, feasibility, and priors in Bayesian estimation
AJ Chorin, F Lu, RN Miller, M Morzfeld, X Tu
Discrete and Continuous Dynamical Systems-Series A 36 (8), 2016
Hölder continuity of the solutions for a class of nonlinear SPDE’s arising from one dimensional superprocesses
Y Hu, F Lu, D Nualart
Probability Theory and Related Fields 156, 27-49, 2013
Data adaptive RKHS Tikhonov regularization for learning kernels in operators
F Lu, Q Lang, Q An
Mathematical and Scientific Machine Learning, PMLR, 158-172, 2022
Nonparametric learning of kernels in nonlocal operators
F Lu, Q An, Y Yu
Journal of Peridynamics and Nonlocal Modeling, 2023
Learning interaction kernels in stochastic systems of interacting particles from multiple trajectories
F Lu, M Maggioni, S Tang
arXiv preprint arXiv:2007.15174, 2020
Cluster Prediction for Opinion Dynamics from Partial Observations
Z Zhang, F Lu
IEEE Transactions on Signal and Information Processing over Networks 7, 101 …, 2020
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