Tackling the generative learning trilemma with denoising diffusion gans Z Xiao, K Kreis, A Vahdat
International Conference on Learning Representations 2022, 2021
364 2021 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, 2020
180 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, 2020
102 2020 Generative Latent Flow Z Xiao, Q Yan, Y Amit
arXiv preprint arXiv:1905.10485, 2019
46 2019 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, 2021
20 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
17 2021 Ufogen: You forward once large scale text-to-image generation via diffusion gans Y Xu, Y Zhao, Z Xiao, T Hou
arXiv preprint arXiv:2311.09257, 2023
16 2023 A method to model conditional distributions with normalizing flows Z Xiao, Q Yan, Y Amit
arXiv preprint arXiv:1911.02052, 2019
9 2019 Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model Z Xiao, T Han
Advances in Neural Information Processing Systems, 2022
8 2022 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 MobileDiffusion: Subsecond Text-to-Image Generation on Mobile Devices Y Zhao, Y Xu, Z Xiao, T Hou
arXiv preprint arXiv:2311.16567, 2023
6 2023 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
5 2023 Two Symmetrized Coordinate Descent Methods Can Be Times Slower Than the Randomized Version P Xiao, Z Xiao, R Sun
SIAM Journal on Optimization 31 (4), 2726-2752, 2021
4 * 2021 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, 2021
3 2021 Energy-based variational autoencoders A Vahdat, K Kreis, Z Xiao, J Kautz
US Patent App. 17/357,728, 2022
2 2022 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
1 2023 Denoising diffusion generative adversarial networks Z Xiao, K Kreis, A Vahdat
US Patent App. 17/957,143, 2023
2023 Training energy-based variational autoencoders A Vahdat, K Kreis, Z Xiao, J Kautz
US Patent App. 17/357,738, 2022
2022 Designing Deep Generative Models with Symbiotic Composition Z Xiao
The University of Chicago, 2022
2022 3D Correlation Mapping between Changes in Cartilage T1ρ and Thickness Over 1-year after ACL Reconstruction using Atlas-based Methods Z Xiao, V Pedoia, A Li, T Link, M Sharmila, B Ma, X Li
Osteoarthritis and Cartilage 25, S311-S312, 2017
2017