Learning interaction kernels in mean-field equations of 1st-order systems of interacting particles. - Quanjun Lang; Fei Lu 016 (CoRR, 2020)

Identifiability of interaction kernels in mean-field equations of interacting particles. - Quanjun Lang; Fei Lu 016 (CoRR, 2021)

Data adaptive RKHS Tikhonov regularization for learning kernels in operators. - Fei Lu 016; Quanjun Lang; Qingci An (MSML, 2022)

A Data-Adaptive Prior for Bayesian Learning of Kernels in Operators. - Neil K. Chada; Quanjun Lang; Fei Lu 016; Xiong Wang (CoRR, 2022)

Learning Interaction Kernels in Mean-Field Equations of First-Order Systems of Interacting Particles. - Quanjun Lang; Fei Lu 016 (SIAM J. Sci. Comput., 2022)

Small noise analysis for Tikhonov and RKHS regularizations. - Quanjun Lang; Fei Lu 016 (CoRR, 2023)

Interacting Particle Systems on Networks: joint inference of the network and the interaction kernel. - Quanjun Lang; Xiong Wang; Fei Lu 016; Mauro Maggioni (CoRR, 2024)

Learning Memory Kernels in Generalized Langevin Equations. - Quanjun Lang; Jianfeng Lu (CoRR, 2024)

Self-test loss functions for learning weak-form operators and gradient flows. - Yuan Gao; Quanjun Lang; Fei Lu (CoRR, 2024)