Tackling the generative learning trilemma with denoising diffusion gans Z Xiao, K Kreis, A Vahdat
International Conference on Learning Representations, 2022
548 2022 Likelihood regret: An out-of-distribution detection score for variational auto-encoder Z Xiao, Q Yan, Y Amit
Advances in Neural Information Processing Systems, 2020
229 2020 VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models Z Xiao, K Kreis, J Kautz, A Vahdat
International Conference on Learning Representations, 2021
128 2021 Ufogen: You forward once large scale text-to-image generation via diffusion gans Y Xu, Y Zhao, Z Xiao, T Hou
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
57 2024 Generative Latent Flow Z Xiao, Q Yan, Y Amit
arXiv preprint arXiv:1905.10485, 2019
54 2019 Mobilediffusion: Subsecond text-to-image generation on mobile devices Y Zhao, Y Xu, Z Xiao, T Hou
arXiv preprint arXiv:2311.16567, 2023
38 2023 Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? Z Xiao, Q Yan, Y Amit
Uncertainty and Robustness in Deep Learning, ICML workshop, 2021
26 2021 ControlVAE: Tuning, analytical properties, and performance analysis H Shao, Z Xiao, S Yao, D Sun, A Zhang, S Liu, T Wang, J Li, T Abdelzaher
IEEE transactions on pattern analysis and machine intelligence 44 (12), 9285 …, 2021
22 2021 Dreaminpainter: Text-guided subject-driven image inpainting with diffusion models S Xie, Y Zhao, Z Xiao, KCK Chan, Y Li, Y Xu, K Zhang, T Hou
arXiv preprint arXiv:2312.03771, 2023
13 2023 Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model Z Xiao, T Han
Advances in Neural Information Processing Systems, 2022
12 2022 A method to model conditional distributions with normalizing flows Z Xiao, Q Yan, Y Amit
arXiv preprint arXiv:1911.02052, 2019
10 2019 Imagen 3 J Baldridge, J Bauer, M Bhutani, N Brichtova, A Bunner, K Chan, Y Chen, ...
arXiv preprint arXiv:2408.07009, 2024
9 2024 EM Distillation for One-step Diffusion Models S Xie, Z Xiao, DP Kingma, T Hou, YN Wu, KP Murphy, T Salimans, ...
arXiv preprint arXiv:2405.16852, 2024
7 2024 Exponential tilting of generative models: Improving sample quality by training and sampling from latent energy Z Xiao, Q Yan, Y Amit
ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit …, 2020
7 2020 Two Symmetrized Coordinate Descent Methods Can Be P Xiao, Z Xiao, R Sun
SIAM Journal on Optimization 31 (4), 2726-2752, 2021
6 * 2021 Hifi tuner: High-fidelity subject-driven fine-tuning for diffusion models Z Wang, W Wei, Y Zhao, Z Xiao, M Hasegawa-Johnson, H Shi, T Hou
arXiv preprint arXiv:2312.00079, 2023
5 2023 EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss Z Xiao, Q Yan, Y Amit
Energy Based Models Workshop, ICLR, 2021
3 2021 Energy-based variational autoencoders A Vahdat, K Kreis, Z Xiao, J Kautz
US Patent App. 17/357,728, 2022
2 2022 Denoising diffusion generative adversarial networks Z Xiao, K Kreis, A Vahdat
US Patent App. 17/957,143, 2023
1 2023 Training energy-based variational autoencoders A Vahdat, K Kreis, Z Xiao, J Kautz
US Patent App. 17/357,738, 2022
2022 