Zhu, Yaxuan

7 publications

NeurIPS 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

ICLR 2024 Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood Yaxuan Zhu, Jianwen Xie, Ying Nian Wu, Ruiqi Gao

AAAI 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

NeurIPS 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

AISTATS 2023 Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation Yaxuan Zhu, Jianwen Xie, Ping Li

ICLR 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

CVPR 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