Sirui Xie

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Region Competition

Reinforcement Learning

Variational Principle

Diffusion Models

Top Venues

Publications

Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin Patrick Murphy, Tim Salimans, Ben Poole, Ruiqi Gao
EM Distillation for One-step Diffusion Models. CoRR (2024)
Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu
Latent Plan Transformer: Planning as Latent Variable Inference. CoRR (2024)
Aoyang Qin, Feng Gao, Qing Li, Song-Chun Zhu, Sirui Xie
Learning non-Markovian Decision-Making from State-only Sequences. CoRR (2023)
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 (2023)
Aoyang Qin, Feng Gao, Qing Li, Song-Chun Zhu, Sirui Xie
Learning non-Markovian Decision-Making from State-only Sequences. NeurIPS (2023)
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)
Zhide Zhong, Jiakai Cao, Songen Gu, Sirui Xie, Weibo Gao, Liyi Luo, Zike Yan, Hao Zhao, Guyue Zhou
ASSIST: Interactive Scene Nodes for Scalable and Realistic Indoor Simulation. CoRR (2023)
Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu
Latent Diffusion Energy-Based Model for Interpretable Text Modelling. ICML (2022)
Sirui Xie, Ari S. Morcos, Song-Chun Zhu, Ramakrishna Vedantam
COAT: Measuring Object Compositionality in Emergent Representations. ICML (2022)
Chi Zhang, Sirui Xie, Baoxiong Jia, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning. ECCV (39) (2022)
Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu
Latent Diffusion Energy-Based Model for Interpretable Text Modeling. CoRR (2022)
Shuwen Qiu, Sirui Xie, Lifeng Fan, Tao Gao, Jungseock Joo, Song-Chun Zhu, Yixin Zhu
Emergent Graphical Conventions in a Visual Communication Game. NeurIPS (2022)
Chi Zhang, Sirui Xie, Baoxiong Jia, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning. CoRR (2021)
Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin
Understanding the wiring evolution in differentiable neural architecture search. AISTATS (2021)
Sirui Xie, Xiaojian Ma, Peiyu Yu, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving. CoRR (2021)
Shuwen Qiu, Sirui Xie, Lifeng Fan, Tao Gao, Song-Chun Zhu, Yixin Zhu
Emergent Graphical Conventions in a Visual Communication Game. CoRR (2021)
Peiyu Yu, Sirui Xie, Xiaojian Ma, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu
Unsupervised Foreground Extraction via Deep Region Competition. CoRR (2021)
Peiyu Yu, Sirui Xie, Xiaojian Ma, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu
Unsupervised Foreground Extraction via Deep Region Competition. NeurIPS (2021)
Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin
DSNAS: Direct Neural Architecture Search without Parameter Retraining. CoRR (2020)
Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin
DSNAS: Direct Neural Architecture Search Without Parameter Retraining. CVPR (2020)
Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin
Understanding the wiring evolution in differentiable neural architecture search. CoRR (2020)
Sirui Xie, Feng Gao, Song-Chun Zhu
Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation. CoRR (2020)
Peiwen Lin, Peng Sun, Guangliang Cheng, Sirui Xie, Xi Li, Jianping Shi
Graph-Guided Architecture Search for Real-Time Semantic Segmentation. CVPR (2020)
Junning Huang, Sirui Xie, Jiankai Sun, Qiurui Ma, Chunxiao Liu, Dahua Lin, Bolei Zhou
Learning a Decision Module by Imitating Driver's Control Behaviors. CoRL (2020)
Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin
SNAS: stochastic neural architecture search. ICLR (Poster) (2019)
Junning Huang, Sirui Xie, Jiankai Sun, Qiurui Ma, Chunxiao Liu, Jianping Shi, Dahua Lin, Bolei Zhou
Learning Driving Decisions by Imitating Drivers' Control Behaviors. CoRR (2019)
Peiwen Lin, Peng Sun, Guangliang Cheng, Sirui Xie, Xi Li, Jianping Shi
Graph-guided Architecture Search for Real-time Semantic Segmentation. CoRR (2019)
Sirui Xie, Junning Huang, Lanxin Lei, Chunxiao Liu, Zheng Ma, Wei Zhang, Liang Lin
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning. ICLR (Poster) (2019)
Sirui Xie, Junning Huang, Lanxin Lei, Chunxiao Liu, Zheng Ma, Wei Zhang, Liang Lin
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning. CoRR (2018)
Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin
SNAS: Stochastic Neural Architecture Search. CoRR (2018)