Junlong Lyu

According to our database, Junlong Lyu authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models.

Junlong Lyu, Zhitang Chen, Shoubo Feng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Convergence guarantee for consistency models.

Junlong Lyu, Zhitang Chen, Shoubo Feng

CoRR, 2023

Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization.

Junlong Lyu, Zhitang Chen, Wenlong Lyu, Jianye Hao

CoRR, 2023

Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs.

Lin Yang, Junlong Lyu, Wenlong Lyu, Zhitang Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A Convergent Interacting Particle Method and Computation of KPP Front Speeds in Chaotic Flows.

Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang

SIAM J. Numer. Anal., 2022

Universality of parametric Coupling Flows over parametric diffeomorphisms.

Junlong Lyu, Zhitang Chen, Chang Feng, Wenjing Cun, Shengyu Zhu, Yanhui Geng, Zhijie Xu, Yongwei Chen

CoRR, 2022

Para-CFlows: $C^k$-universal diffeomorphism approximators as superior neural surrogates.

Junlong Lyu, Zhitang Chen, Chang Feng, Wenjing Cun, Shengyu Zhu, Yanhui Geng, Zhijie Xu, Chen Yongwei

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Convergence Analysis of Stochastic Structure-Preserving Schemes for Computing Effective Diffusivity in Random Flows.

Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang

SIAM J. Numer. Anal., 2020

2019

Convergence of stochastic structure-preserving schemes for computing effective diffusivity in random flows.

Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang

CoRR, 2019