| 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 | 1153 | 2022 |
| Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation Z Wang, C Lu, Y Wang, F Bao, C Li, H Su, J Zhu Advances in Neural Information Processing Systems 36, 2024 | 730 | 2024 |
| 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 | 437 | 2022 |
| Offline reinforcement learning via high-fidelity generative behavior modeling H Chen, C Lu, C Ying, H Su, J Zhu arXiv preprint arXiv:2209.14548, 2022 | 89 | 2022 |
| Maximum likelihood training for score-based diffusion odes by high order denoising score matching C Lu, K Zheng, F Bao, J Chen, C Li, J Zhu International Conference on Machine Learning, 14429-14460, 2022 | 76 | 2022 |
| Gpt-4o system card A Hurst, A Lerer, AP Goucher, A Perelman, A Ramesh, A Clark, AJ Ostrow, ... arXiv preprint arXiv:2410.21276, 2024 | 74 | 2024 |
| Vflow: More expressive generative flows with variational data augmentation J Chen, C Lu, B Chenli, J Zhu, T Tian International Conference on Machine Learning, 1660-1669, 2020 | 67 | 2020 |
| Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning C Lu, H Chen, J Chen, H Su, C Li, J Zhu arXiv preprint arXiv:2304.12824, 2023 | 51 | 2023 |
| Dpm-solver-v3: Improved diffusion ode solver with empirical model statistics K Zheng, C Lu, J Chen, J Zhu Advances in Neural Information Processing Systems 36, 55502-55542, 2023 | 45 | 2023 |
| Implicit normalizing flows C Lu, J Chen, C Li, Q Wang, J Zhu arXiv preprint arXiv:2103.09527, 2021 | 39 | 2021 |
| 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 arXiv preprint arXiv:2311.01410, 2023 | 26 | 2023 |
| Improved techniques for maximum likelihood estimation for diffusion odes K Zheng, C Lu, J Chen, J Zhu International Conference on Machine Learning, 42363-42389, 2023 | 26 | 2023 |
| Towards efficient and exact optimization of language model alignment H Ji, C Lu, Y Niu, P Ke, H Wang, J Zhu, J Tang, M Huang arXiv preprint arXiv:2402.00856, 2024 | 13 | 2024 |
| Gaussian mixture solvers for diffusion models H Guo, C Lu, F Bao, T Pang, S Yan, C Du, C Li Advances in Neural Information Processing Systems 36, 2024 | 10 | 2024 |
| Score regularized policy optimization through diffusion behavior H Chen, C Lu, Z Wang, H Su, J Zhu arXiv preprint arXiv:2310.07297, 2023 | 10 | 2023 |
| Simplifying, stabilizing and scaling continuous-time consistency models C Lu, Y Song arXiv preprint arXiv:2410.11081, 2024 | 4 | 2024 |
| On calibrating diffusion probabilistic models T Pang, C Lu, C Du, M Lin, S Yan, Z Deng Advances in Neural Information Processing Systems 36, 49234-49249, 2023 | 2 | 2023 |
Jun ZhuProfessor of Computer Science, Tsinghua UniversityBestätigte E-Mail-Adresse bei mail.tsinghua.edu.cn
