A convergent interacting particle method and computation of KPP front speeds in chaotic flows J Lyu, Z Wang, J Xin, Z Zhang
SIAM Journal on Numerical Analysis 60 (3), 1136-1167, 2022
8 2022 Convergence analysis of stochastic structure-preserving schemes for computing effective diffusivity in random flows J Lyu, Z Wang, J Xin, Z Zhang
SIAM Journal on Numerical Analysis 58 (5), 3040-3067, 2020
8 2020 Para-CFlows: -universal diffeomorphism approximators as superior neural surrogates J Lyu, Z Chen, C Feng, W Cun, S Zhu, Y Geng, Z Xu, C Yongwei
Advances in Neural Information Processing Systems 35, 28829-28841, 2022
4 2022 Universality of parametric coupling flows over parametric diffeomorphisms J Lyu, Z Chen, C Feng, W Cun, S Zhu, Y Geng, Z Xu, Y Chen
arXiv preprint arXiv:2202.02906, 2022
3 2022 Convergence guarantee for consistency models J Lyu, Z Chen, S Feng
arXiv preprint arXiv:2308.11449, 2023
2 2023 Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models J Lyu, Z Chen, S Feng
1 2023 Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs L Yang, J Lyu, W Lyu, Z Chen
Advances in Neural Information Processing Systems 36, 2024
2024 Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization J Lyu, Z Chen, W Lyu, J Hao
arXiv preprint arXiv:2301.12640, 2023
2023 A Multiscale Multilevel Monte Carlo Method for Multiscale Elliptic PDEs with Random Coefficients J Lyu, Z Zhang
Communications in Mathematical Research, 2020
2020