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Zhisheng Xiao
Zhisheng Xiao
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Title
Cited by
Cited by
Year
Tackling the generative learning trilemma with denoising diffusion gans
Z Xiao, K Kreis, A Vahdat
International Conference on Learning Representations, 2022
3842022
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
1852020
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
Z Xiao, K Kreis, J Kautz, A Vahdat
International Conference on Learning Representations, 2021
1062021
Generative Latent Flow
Z Xiao, Q Yan, Y Amit
arXiv preprint arXiv:1905.10485, 2019
462019
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
232021
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
212023
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
172021
A method to model conditional distributions with normalizing flows
Z Xiao, Q Yan, Y Amit
arXiv preprint arXiv:1911.02052, 2019
92019
MobileDiffusion: Subsecond Text-to-Image Generation on Mobile Devices
Y Zhao, Y Xu, Z Xiao, T Hou
arXiv preprint arXiv:2311.16567, 2023
82023
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model
Z Xiao, T Han
Advances in Neural Information Processing Systems, 2022
82022
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
72020
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
52023
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
32021
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
22023
Energy-based variational autoencoders
A Vahdat, K Kreis, Z Xiao, J Kautz
US Patent App. 17/357,728, 2022
22022
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
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