| Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps C Lu, Y Zhou, F Bao, J Chen, C Li, J Zhu Advances in Neural Information Processing Systems 35, 5775-5787, 2022 | 869 | 2022 |
| Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models C Lu, Y Zhou, F Bao, J Chen, C Li, J Zhu arXiv preprint arXiv:2211.01095, 2022 | 321 | 2022 |
| ZhuSuan: A library for Bayesian deep learning J Shi, J Chen, J Zhu, S Sun, Y Luo, Y Gu, Y Zhou arXiv preprint arXiv:1709.05870, 2017 | 47 | 2017 |
| Nonparametric score estimators Y Zhou, J Shi, J Zhu International Conference on Machine Learning, 11513-11522, 2020 | 28 | 2020 |
| A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds Y Zhou, C Bao, C Ding, J Zhu Mathematical Programming 201 (1), 1-61, 2023 | 27 | 2023 |
| Gradient estimation with discrete Stein operators J Shi, Y Zhou, J Hwang, M Titsias, L Mackey Advances in Neural Information Processing Systems 35, 25829-25841, 2022 | 21 | 2022 |
| The blessing of randomness: Sde beats ode in general diffusion-based image editing S Nie, HA Guo, C Lu, Y Zhou, C Zheng, C Li International Conference on Learning Representations, 2023 | 16 | 2023 |
| Scalable quasi-Bayesian inference for instrumental variable regression Z Wang*, Y Zhou*, T Ren, J Zhu Advances in Neural Information Processing Systems 34, 10469-10482, 2021 | 9 | 2021 |
| Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations K Xue, Y Zhou, S Nie, X Min, X Zhang, J Zhou, C Li International Conference on Machine Learning, 2024 | 2 | 2024 |
| Fast Instrument Learning with Faster Rates Z Wang, Y Zhou, J Zhu Advances in Neural Information Processing Systems 35, 16596-16611, 2022 | 1 | 2022 |
Jun ZhuProfessor of Computer Science, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
