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Inference in probabilistic graphical models by Graph Neural Networks.

K. Yoon, R. Liao, Y. Xiong, L. Zhang, E. Fetaya, R. Urtasun, R. Zemel, and X. Pitkow. ICLR (Workshop), OpenReview.net, (2018)

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Yuwen Chen

Xiong Qi

Xianjun Xiong

Guangwei Xiong

Lixiang Xiong

Other publications of authors with the same name

Deep Feature Flow for Video Recognition.X. Zhu, Y. Xiong, J. Dai, L. Yuan, and Y. Wei. CoRR, (2016)MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer.C. Tian, X. Zhu, Y. Xiong, W. Wang, Z. Chen, W. Wang, Y. Chen, L. Lu, T. Lu, J. Zhou and 3 other author(s). CoRR, (2024)Cost-Efficient Online Hyperparameter Optimization.J. Wang, M. Ren, I. Bogunovic, Y. Xiong, and R. Urtasun. CoRR, (2021)Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion.L. Zhang, Y. Xiong, Z. Yang, S. Casas, R. Hu, and R. Urtasun. CoRR, (2023)PolyTransform: Deep Polygon Transformer for Instance Segmentation.J. Liang, N. Homayounfar, W. Ma, Y. Xiong, R. Hu, and R. Urtasun. CoRR, (2019)Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications.Y. Xiong, Z. Li, Y. Chen, F. Wang, X. Zhu, J. Luo, W. Wang, T. Lu, H. Li, Y. Qiao and 3 other author(s). CoRR, (2024)DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation.X. Zeng, R. Liao, L. Gu, Y. Xiong, S. Fidler, and R. Urtasun. ICCV, page 3928-3937. IEEE, (2019)LevelSet R-CNN: A Deep Variational Method for Instance Segmentation.N. Homayounfar, Y. Xiong, J. Liang, W. Ma, and R. Urtasun. ECCV (23), volume 12368 of Lecture Notes in Computer Science, page 555-571. Springer, (2020)Reviving and Improving Recurrent Back-Propagation.R. Liao, Y. Xiong, E. Fetaya, L. Zhang, K. Yoon, X. Pitkow, R. Urtasun, and R. Zemel. ICML, volume 80 of Proceedings of Machine Learning Research, page 3088-3097. PMLR, (2018)Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction.A. Jain, S. Casas, R. Liao, Y. Xiong, S. Feng, S. Segal, and R. Urtasun. CoRL, volume 100 of Proceedings of Machine Learning Research, page 407-419. PMLR, (2019)

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Disambiguation of "Xiong, Yuwen"

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Inference in probabilistic graphical models by Graph Neural Networks.

Please choose a person to relate this publication to

Yuwen Chen

Xiong Qi

Xianjun Xiong

Guangwei Xiong

Lixiang Xiong

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Xiong, Yuwen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Inference in probabilistic graphical models by Graph Neural Networks.

Please choose a person to relate this publication to

Yuwen Chen

Xiong Qi

Xianjun Xiong

Guangwei Xiong

Lixiang Xiong

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Inference in probabilistic graphical models by Graph Neural Networks.