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Yaxuan Zhu
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2020 – today
- 2024
- [b1]Yaxuan Zhu:
Energy-Based Model and its Applications. University of California, Los Angeles, USA, 2024 - [c6]Yaxuan Zhu, Jianwen Xie, Ying Nian Wu, Ruiqi Gao:
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood. ICLR 2024 - [i10]Yasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan Chang, Feng Gao, Ying Nian Wu, Oscar Leong:
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching. CoRR abs/2405.18816 (2024) - [i9]Yaxuan Zhu, Zehao Dou, Haoxin Zheng, Yasi Zhang, Ying Nian Wu, Ruiqi Gao:
Think Twice Before You Act: Improving Inverse Problem Solving With MCMC. CoRR abs/2409.08551 (2024) - 2023
- [c5]Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li:
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference. AAAI 2023: 10499-10509 - [c4]Yaxuan Zhu, Jianwen Xie, Ping Li:
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation. AISTATS 2023: 4164-4180 - [c3]Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu:
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. NeurIPS 2023 - [i8]Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li:
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference. CoRR abs/2301.09300 (2023) - [i7]Yaxuan Zhu, Jianwen Xie, Ping Li:
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation. CoRR abs/2304.07918 (2023) - [i6]Weinan Song, Yaxuan Zhu, Lei He, Yingnian Wu, Jianwen Xie:
Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation. CoRR abs/2306.14448 (2023) - [i5]Yaxuan Zhu, Jianwen Xie, Yingnian Wu, Ruiqi Gao:
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood. CoRR abs/2309.05153 (2023) - [i4]Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu:
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. CoRR abs/2310.03218 (2023) - 2022
- [c2]Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li:
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model. ICLR 2022 - [i3]Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li:
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model. CoRR abs/2205.06924 (2022) - [i2]Khoa D. Doan
, Jianwen Xie, Yaxuan Zhu, Yang Zhao, Ping Li:
CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing. CoRR abs/2210.04288 (2022) - 2021
- [c1]Yaxuan Zhu, Ruiqi Gao, Siyuan Huang, Song-Chun Zhu, Ying Nian Wu:
Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis. CVPR 2021: 9959-9968 - [i1]Yaxuan Zhu, Ruiqi Gao, Siyuan Huang, Song-Chun Zhu, Yingnian Wu:
Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis. CoRR abs/2104.01508 (2021)
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