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 | 38 | 2022 |
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 | 7 | 2021 |
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 | 4 | 2023 |
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 | 3 | 2023 |
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 | 2 | 2024 |
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 | 2 | 2022 |
Learning energy-based models by cooperative diffusion recovery likelihood Y Zhu, J Xie, Y Wu, R Gao arXiv preprint arXiv:2309.05153, 2023 | 1 | 2023 |
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 | 1 | 2023 |
A 2D example study of Deep FRAME model Y Zhu University of California, Los Angeles, 2019 | | 2019 |