Yaxuan Zhu

According to our database, Yaxuan Zhu authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Energy-Based Model and its Applications

Yaxuan Zhu

PhD thesis, 2024

Think Twice Before You Act: Improving Inverse Problem Solving With MCMC.

Yaxuan Zhu, Zehao Dou, Haoxin Zheng, Yasi Zhang, Ying Nian Wu, Ruiqi Gao

CoRR, 2024

Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching.

Yasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan Chang, Feng Gao, Ying Nian Wu, Oscar Leong

CoRR, 2024

Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood.

Yaxuan Zhu, Jianwen Xie, Ying Nian Wu, Ruiqi Gao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation.

Weinan Song, Yaxuan Zhu, Lei He, Yingnian Wu, Jianwen Xie

CoRR, 2023

Learning Energy-Based Prior Model with Diffusion-Amortized MCMC.

Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation.

Yaxuan Zhu, Jianwen Xie, Ping Li

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference.

Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing.

Khoa D. Doan, Jianwen Xie, Yaxuan Zhu, Yang Zhao, Ping Li

CoRR, 2022

A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model.

Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis.

Yaxuan Zhu, Ruiqi Gao, Siyuan Huang, Song-Chun Zhu, Ying Nian Wu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021