Bao, Fan

22 publications

ICLR 2025 Diffusion Bridge Implicit Models Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu

ICLR 2025 Elucidating the Preconditioning in Consistency Distillation Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu

NeurIPS 2024 Consistency Diffusion Bridge Models Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu

CVPR 2023 All Are Worth Words: A ViT Backbone for Diffusion Models Fan Bao, Shen Nie, Kaiwen Xue, Yue Cao, Chongxuan Li, Hang Su, Jun Zhu

ICLR 2023 Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-Trained Models Yong Zhong, Hongtao Liu, Xiaodong Liu, Fan Bao, Weiran Shen, Chongxuan Li

NeurIPS 2023 Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu

ICLR 2023 Equivariant Energy-Guided SDE for Inverse Molecular Design Fan Bao, Min Zhao, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu

NeurIPS 2023 Gaussian Mixture Solvers for Diffusion Models Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li

ICML 2023 One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu

NeurIPS 2023 ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu

ICML 2023 Revisiting Discriminative vs. Generative Classifiers: Theory and Implications Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu

NeurIPSW 2022 All Are Worth Words: A ViT Backbone for Score-Based Diffusion Models Fan Bao, Chongxuan Li, Yue Cao, Jun Zhu

ICLR 2022 Analytic-DPM: An Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang

NeurIPS 2022 DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu

NeurIPS 2022 EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu

ICML 2022 Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang

ICML 2022 Maximum Likelihood Training for Score-Based Diffusion ODEs by High Order Denoising Score Matching Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu

NeurIPSW 2022 Why Are Conditional Generative Models Better than Unconditional Ones? Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu

NeurIPS 2021 Stability and Generalization of Bilevel Programming in Hyperparameter Optimization Fan Bao, Guoqiang Wu, Chongxuan Li, Jun Zhu, Bo Zhang

ICML 2021 Variational (Gradient) Estimate of the Score Function in Energy-Based Latent Variable Models Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang

NeurIPS 2020 Bi-Level Score Matching for Learning Energy-Based Latent Variable Models Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang

NeurIPSW 2020 Variational (Gradient) Estimate of the Score Function in Energy-Based Latent Variable Models Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang