Learning interaction kernels in mean-field equations of first-order systems of interacting particles Q Lang, F Lu SIAM Journal on Scientific Computing 44 (1), A260-A285, 2022 | 21 | 2022 |
Identifiability of interaction kernels in mean-field equations of interacting particles Q Lang, F Lu Foundation of Data Science, 2023, Volume 5, Issue 4: 480-502., 2021 | 15 | 2021 |
Data adaptive RKHS Tikhonov regularization for learning kernels in operators F Lu, Q Lang, Q An Mathematical and Scientific Machine Learning, 158-172, 2022 | 13 | 2022 |
Powers of generators on Dirichlet spaces and applications to Harnack principles F Baudoin, Q Lang, Y Sire arXiv preprint arXiv:2010.01036, 2020 | 3 | 2020 |
A data-adaptive prior for Bayesian learning of kernels in operators NK Chada, Q Lang, F Lu, X Wang arXiv preprint arXiv:2212.14163, 2022 | 2 | 2022 |
Learning Memory Kernels in Generalized Langevin Equations Q Lang, J Lu arXiv preprint arXiv:2402.11705, 2024 | 1 | 2024 |
Interacting Particle Systems on Networks: joint inference of the network and the interaction kernel Q Lang, X Wang, F Lu, M Maggioni arXiv preprint arXiv:2402.08412, 2024 | 1 | 2024 |
Small noise analysis for Tikhonov and RKHS regularizations Q Lang, F Lu arXiv preprint arXiv:2305.11055, 2023 | 1 | 2023 |
Extension method in Dirichlet spaces with sub-Gaussian estimates and applications to regularity of jump processes on fractals F Baudoin, Q Lang, Y Sire arXiv preprint arXiv:2403.18984, 2024 | | 2024 |
LEARNING KERNELS WITH NONLOCAL DEPENDENCE IN MEAN FIELD EQUATIONS AND THE EXTENSION PROBLEM ON DIRICHLET SPACE Q Lang Johns Hopkins University, 2023 | | 2023 |