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YAXUAN ZHU
YAXUAN ZHU
Phd student at the Department of Statistics, UCLA
Verified email at g.ucla.edu
Title
Cited by
Cited by
Year
A tale of two flows: Cooperative learning of langevin flow and normalizing flow toward energy-based model
J Xie, Y Zhu, J Li, P Li
The 10th International Conference on Learning Representations (ICLR) 2022, 2022
372022
Learning neural representation of camera pose with matrix representation of pose shift via view synthesis
Y Zhu, R Gao, S Huang, SC Zhu, YN Wu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
72021
A tale of two latent flows: Learning latent space normalizing flow with short-run langevin flow for approximate inference
J Xie, Y Zhu, Y Xu, D Li, P Li
Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10499 …, 2023
42023
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation
Y Zhu, J Xie, P Li
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
32023
CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing
KD Doan, J Xie, Y Zhu, Y Zhao, P Li
arXiv preprint arXiv:2210.04288, 2022
22022
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
P Yu, Y Zhu, S Xie, XS Ma, R Gao, SC Zhu, YN Wu
Advances in Neural Information Processing Systems 36, 2024
12024
Learning energy-based models by cooperative diffusion recovery likelihood
Y Zhu, J Xie, Y Wu, R Gao
arXiv preprint arXiv:2309.05153, 2023
12023
Progressive energy-based cooperative learning for multi-domain image-to-image translation
W Song, Y Zhu, L He, Y Wu, J Xie
arXiv preprint arXiv:2306.14448, 2023
12023
A 2D example study of Deep FRAME model
Y Zhu
University of California, Los Angeles, 2019
2019
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Articles 1–9