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
9 2022 Para-CFlows: 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
7 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
7 2020 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
6 2022 Convergence guarantee for consistency models J Lyu, Z Chen, S Feng
arXiv preprint arXiv:2308.11449, 2023
4 2023 Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models J Lyu, Z Chen, S Feng
Forty-first International Conference on Machine Learning, 2024
2 2024 Efficient robust Bayesian optimization for arbitrary uncertain inputs L Yang, J Lyu, W Lyu, Z Chen
Advances in Neural Information Processing Systems 36, 43156-43176, 2023
1 2023 A multiscale multilevel Monte Carlo method for multiscale elliptic PDEs with random coefficients J Lyu, Z Zhang
Commun. Math. Res. 36 (2), 154-192, 2020
1 2020 Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization J Lyu, Z Chen, W Lyu, J Hao
arXiv preprint arXiv:2301.12640, 2023
2023 