Fei Lu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Heterogeneous Systems

Bayesian Learning

Trajectory Data

Partial Observations

Top Venues

J. Comput. Phys.

Found. Comput. Math.

Publications

Xingjie Li, Fei Lu, Molei Tao, Felix X.-F. Ye
Robust First and Second-Order Differentiation for Regularized Optimal Transport. CoRR (2024)
Quanjun Lang, Xiong Wang, Fei Lu, Mauro Maggioni
Interacting Particle Systems on Networks: joint inference of the network and the interaction kernel. CoRR (2024)
Quanjun Lang, Fei Lu
Small noise analysis for Tikhonov and RKHS regularizations. CoRR (2023)
Zehong Zhang, Fei Lu, Esther Xu Fei, Terry Lyons, Yannis G. Kevrekidis, Tom Woolf
Benchmarking optimality of time series classification methods in distinguishing diffusions. CoRR (2023)
Xingjie Li, Fei Lu, Molei Tao, Felix X.-F. Ye
NySALT: Nyström-type inference-based schemes adaptive to large time-stepping. J. Comput. Phys. 477 (2023)
Neil K. Chada, Quanjun Lang, Fei Lu, Xiong Wang
A Data-Adaptive Prior for Bayesian Learning of Kernels in Operators. CoRR (2022)
Fei Lu, Quanjun Lang, Qingci An
Data adaptive RKHS Tikhonov regularization for learning kernels in operators. CoRR (2022)
Qingci An, Yannis G. Kevrekidis, Fei Lu, Mauro Maggioni
Unsupervised learning of observation functions in state-space models by nonparametric moment methods. CoRR (2022)
Quanjun Lang, Fei Lu
Learning Interaction Kernels in Mean-Field Equations of First-Order Systems of Interacting Particles. SIAM J. Sci. Comput. 44 (1) (2022)
Fei Lu, Mauro Maggioni, Sui Tang
Learning Interaction Kernels in Stochastic Systems of Interacting Particles from Multiple Trajectories. Found. Comput. Math. 22 (4) (2022)
Fei Lu, Quanjun Lang, Qingci An
Data adaptive RKHS Tikhonov regularization for learning kernels in operators. MSML (2022)
Fei Lu, Qingci An, Yue Yu
Nonparametric learning of kernels in nonlocal operators. CoRR (2022)
Xingjie Li, Fei Lu, Molei Tao, Felix X.-F. Ye
NySALT: Nyström-type inference-based schemes adaptive to large time-stepping. CoRR (2022)
Xingjie Li, Fei Lu, Felix X.-F. Ye
ISALT: Inference-based schemes adaptive to large time-stepping for locally Lipschitz ergodic systems. CoRR (2021)
Fei Lu, Mauro Maggioni, Sui Tang
Learning interaction kernels in heterogeneous systems of agents from multiple trajectories. J. Mach. Learn. Res. 22 (2021)
Quanjun Lang, Fei Lu
Identifiability of interaction kernels in mean-field equations of interacting particles. CoRR (2021)
Zehong Zhang, Fei Lu
Cluster Prediction for Opinion Dynamics From Partial Observations. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Kevin K. Lin, Fei Lu
Data-driven model reduction, Wiener projections, and the Koopman-Mori-Zwanzig formalism. J. Comput. Phys. 424 (2021)
Quanjun Lang, Fei Lu
Learning interaction kernels in mean-field equations of 1st-order systems of interacting particles. CoRR (2020)
Zhongyang Li, Fei Lu
On the coercivity condition in the learning of interacting particle systems. CoRR (2020)
Fei Lu
Data-Driven Model Reduction for Stochastic Burgers Equations. Entropy 22 (12) (2020)
Fei Lu
Data-driven model reduction for stochastic Burgers equations. CoRR (2020)
Kevin K. Lin, Fei Lu
Data-driven model reduction, Wiener projections, and the Mori-Zwanzig formalism. CoRR (2019)
Fei Lu, Mauro Maggioni, Sui Tang
Learning interaction kernels in heterogeneous systems of agents from multiple trajectories. CoRR (2019)
Fei Lu, Mauro Maggioni, Sui Tang, Ming Zhong
Nonparametric inference of interaction laws in systems of agents from trajectory data. CoRR (2018)