Energy-based model (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Energy-based model" in English language version.

refsWebsite

Global rank English rank

10doi.org

2^nd place

8arxiv.org

69^th place

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8semanticscholar.org

11^th place

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6worldcat.org

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3harvard.edu

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2nih.gov

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1books.google.com

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1jmlr.org

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1nips.cc

low place

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1aaai.org

9,352^nd place

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aaai.org

Xie, Jianwen; Lu, Yang; Gao, Ruiqi; Gao, Song-Chun (2018). "Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching". Thirty-Second AAAI Conference on Artificial Intelligence. 32. doi:10.1609/aaai.v32i1.11834. S2CID 9212174.

arxiv.org

Xie, Jianwen; Lu, Yang; Zhu, Song-Chun; Wu, Ying Nian (2016). "A theory of generative ConvNet". ICML. arXiv:1602.03264. Bibcode:2016arXiv160203264X.
Xie, Jianwen; Zhu, Song-Chun; Wu, Ying Nian (2019). "Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns". IEEE Transactions on Pattern Analysis and Machine Intelligence. 43 (2): 516–531. arXiv:1909.11975. Bibcode:2019arXiv190911975X. doi:10.1109/tpami.2019.2934852. ISSN 0162-8828. PMID 31425020. S2CID 201098397.
Du, Yilun; Mordatch, Igor (2019-03-20). "Implicit Generation and Generalization in Energy-Based Models". arXiv:1903.08689 [cs.LG].
Xie, Jianwen; Zhu, Song-Chun; Wu, Ying Nian (July 2017). "Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet". 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. pp. 1061–1069. arXiv:1606.00972. doi:10.1109/cvpr.2017.119. ISBN 978-1-5386-0457-1. S2CID 763074.
Xie, Jianwen; Zheng, Zilong; Gao, Ruiqi; Wang, Wenguan; Zhu, Song-Chun; Wu, Ying Nian (June 2018). "Learning Descriptor Networks for 3D Shape Synthesis and Analysis". 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE. pp. 8629–8638. arXiv:1804.00586. Bibcode:2018arXiv180400586X. doi:10.1109/cvpr.2018.00900. ISBN 978-1-5386-6420-9. S2CID 4564025.
Gao, Ruiqi; Lu, Yang; Zhou, Junpei; Zhu, Song-Chun; Wu, Ying Nian (June 2018). "Learning Generative ConvNets via Multi-grid Modeling and Sampling". 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE. pp. 9155–9164. arXiv:1709.08868. doi:10.1109/cvpr.2018.00954. ISBN 978-1-5386-6420-9. S2CID 4566195.
Cai, Xu; Wu, Yang; Li, Guanbin; Chen, Ziliang; Lin, Liang (2019-07-17). "FRAME Revisited: An Interpretation View Based on Particle Evolution". Proceedings of the AAAI Conference on Artificial Intelligence. 33: 3256–3263. arXiv:1812.01186. doi:10.1609/aaai.v33i01.33013256. ISSN 2374-3468.
Xie, Jianwen; Lu, Yang; Gao, Ruiqi; Zhu, Song-Chun; Wu, Ying Nian (2020-01-01). "Cooperative Training of Descriptor and Generator Networks". IEEE Transactions on Pattern Analysis and Machine Intelligence. 42 (1): 27–45. arXiv:1609.09408. doi:10.1109/tpami.2018.2879081. ISSN 0162-8828. PMID 30387724. S2CID 7759006.

books.google.com

Learning Deep Architectures for AI, Yoshua Bengio, Page 54, https://books.google.com/books?id=cq5ewg7FniMC&pg=PA54

doi.org

Xie, Jianwen; Zhu, Song-Chun; Wu, Ying Nian (2019). "Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns". IEEE Transactions on Pattern Analysis and Machine Intelligence. 43 (2): 516–531. arXiv:1909.11975. Bibcode:2019arXiv190911975X. doi:10.1109/tpami.2019.2934852. ISSN 0162-8828. PMID 31425020. S2CID 201098397.
Xie, Jianwen; Zhu, Song-Chun; Wu, Ying Nian (July 2017). "Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet". 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. pp. 1061–1069. arXiv:1606.00972. doi:10.1109/cvpr.2017.119. ISBN 978-1-5386-0457-1. S2CID 763074.
Wu, Ying Nian; Xie, Jianwen; Lu, Yang; Zhu, Song-Chun (2018). "Sparse and deep generalizations of the FRAME model". Annals of Mathematical Sciences and Applications. 3 (1): 211–254. doi:10.4310/amsa.2018.v3.n1.a7. ISSN 2380-288X.
Lecun, Y.; Bottou, L.; Bengio, Y.; Haffner, P. (1998). "Gradient-based learning applied to document recognition". Proceedings of the IEEE. 86 (11): 2278–2324. doi:10.1109/5.726791. ISSN 0018-9219. S2CID 14542261.
Xie, Jianwen; Zheng, Zilong; Gao, Ruiqi; Wang, Wenguan; Zhu, Song-Chun; Wu, Ying Nian (June 2018). "Learning Descriptor Networks for 3D Shape Synthesis and Analysis". 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE. pp. 8629–8638. arXiv:1804.00586. Bibcode:2018arXiv180400586X. doi:10.1109/cvpr.2018.00900. ISBN 978-1-5386-6420-9. S2CID 4564025.
Gao, Ruiqi; Lu, Yang; Zhou, Junpei; Zhu, Song-Chun; Wu, Ying Nian (June 2018). "Learning Generative ConvNets via Multi-grid Modeling and Sampling". 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE. pp. 9155–9164. arXiv:1709.08868. doi:10.1109/cvpr.2018.00954. ISBN 978-1-5386-6420-9. S2CID 4566195.
Cai, Xu; Wu, Yang; Li, Guanbin; Chen, Ziliang; Lin, Liang (2019-07-17). "FRAME Revisited: An Interpretation View Based on Particle Evolution". Proceedings of the AAAI Conference on Artificial Intelligence. 33: 3256–3263. arXiv:1812.01186. doi:10.1609/aaai.v33i01.33013256. ISSN 2374-3468.
Xie, Jianwen; Lu, Yang; Gao, Ruiqi; Zhu, Song-Chun; Wu, Ying Nian (2020-01-01). "Cooperative Training of Descriptor and Generator Networks". IEEE Transactions on Pattern Analysis and Machine Intelligence. 42 (1): 27–45. arXiv:1609.09408. doi:10.1109/tpami.2018.2879081. ISSN 0162-8828. PMID 30387724. S2CID 7759006.
Xie, Jianwen; Lu, Yang; Gao, Ruiqi; Gao, Song-Chun (2018). "Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching". Thirty-Second AAAI Conference on Artificial Intelligence. 32. doi:10.1609/aaai.v32i1.11834. S2CID 9212174.
Han, Tian; Nijkamp, Erik; Fang, Xiaolin; Hill, Mitch; Zhu, Song-Chun; Wu, Ying Nian (June 2019). "Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model". 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. pp. 8662–8671. doi:10.1109/cvpr.2019.00887. ISBN 978-1-7281-3293-8. S2CID 57189202.

harvard.edu

ui.adsabs.harvard.edu

Xie, Jianwen; Lu, Yang; Zhu, Song-Chun; Wu, Ying Nian (2016). "A theory of generative ConvNet". ICML. arXiv:1602.03264. Bibcode:2016arXiv160203264X.
Xie, Jianwen; Zhu, Song-Chun; Wu, Ying Nian (2019). "Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns". IEEE Transactions on Pattern Analysis and Machine Intelligence. 43 (2): 516–531. arXiv:1909.11975. Bibcode:2019arXiv190911975X. doi:10.1109/tpami.2019.2934852. ISSN 0162-8828. PMID 31425020. S2CID 201098397.
Xie, Jianwen; Zheng, Zilong; Gao, Ruiqi; Wang, Wenguan; Zhu, Song-Chun; Wu, Ying Nian (June 2018). "Learning Descriptor Networks for 3D Shape Synthesis and Analysis". 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE. pp. 8629–8638. arXiv:1804.00586. Bibcode:2018arXiv180400586X. doi:10.1109/cvpr.2018.00900. ISBN 978-1-5386-6420-9. S2CID 4564025.

jmlr.org

Teh, Yee Whye; Welling, Max; Osindero, Simon; Hinton, Geoffrey E. (December 2003). "Energy-Based Models for Sparse Overcomplete Representations". JMLR. 4 (Dec): 1235–1260.

nih.gov

pubmed.ncbi.nlm.nih.gov

Xie, Jianwen; Zhu, Song-Chun; Wu, Ying Nian (2019). "Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns". IEEE Transactions on Pattern Analysis and Machine Intelligence. 43 (2): 516–531. arXiv:1909.11975. Bibcode:2019arXiv190911975X. doi:10.1109/tpami.2019.2934852. ISSN 0162-8828. PMID 31425020. S2CID 201098397.
Xie, Jianwen; Lu, Yang; Gao, Ruiqi; Zhu, Song-Chun; Wu, Ying Nian (2020-01-01). "Cooperative Training of Descriptor and Generator Networks". IEEE Transactions on Pattern Analysis and Machine Intelligence. 42 (1): 27–45. arXiv:1609.09408. doi:10.1109/tpami.2018.2879081. ISSN 0162-8828. PMID 30387724. S2CID 7759006.

nips.cc

papers.nips.cc

Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey (2012). "ImageNet classification with deep convolutional neural networks" (PDF). NIPS.

semanticscholar.org

api.semanticscholar.org

Xie, Jianwen; Zhu, Song-Chun; Wu, Ying Nian (2019). "Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns". IEEE Transactions on Pattern Analysis and Machine Intelligence. 43 (2): 516–531. arXiv:1909.11975. Bibcode:2019arXiv190911975X. doi:10.1109/tpami.2019.2934852. ISSN 0162-8828. PMID 31425020. S2CID 201098397.
Xie, Jianwen; Zhu, Song-Chun; Wu, Ying Nian (July 2017). "Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet". 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. pp. 1061–1069. arXiv:1606.00972. doi:10.1109/cvpr.2017.119. ISBN 978-1-5386-0457-1. S2CID 763074.
Lecun, Y.; Bottou, L.; Bengio, Y.; Haffner, P. (1998). "Gradient-based learning applied to document recognition". Proceedings of the IEEE. 86 (11): 2278–2324. doi:10.1109/5.726791. ISSN 0018-9219. S2CID 14542261.
Xie, Jianwen; Zheng, Zilong; Gao, Ruiqi; Wang, Wenguan; Zhu, Song-Chun; Wu, Ying Nian (June 2018). "Learning Descriptor Networks for 3D Shape Synthesis and Analysis". 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE. pp. 8629–8638. arXiv:1804.00586. Bibcode:2018arXiv180400586X. doi:10.1109/cvpr.2018.00900. ISBN 978-1-5386-6420-9. S2CID 4564025.
Gao, Ruiqi; Lu, Yang; Zhou, Junpei; Zhu, Song-Chun; Wu, Ying Nian (June 2018). "Learning Generative ConvNets via Multi-grid Modeling and Sampling". 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE. pp. 9155–9164. arXiv:1709.08868. doi:10.1109/cvpr.2018.00954. ISBN 978-1-5386-6420-9. S2CID 4566195.
Xie, Jianwen; Lu, Yang; Gao, Ruiqi; Zhu, Song-Chun; Wu, Ying Nian (2020-01-01). "Cooperative Training of Descriptor and Generator Networks". IEEE Transactions on Pattern Analysis and Machine Intelligence. 42 (1): 27–45. arXiv:1609.09408. doi:10.1109/tpami.2018.2879081. ISSN 0162-8828. PMID 30387724. S2CID 7759006.
Xie, Jianwen; Lu, Yang; Gao, Ruiqi; Gao, Song-Chun (2018). "Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching". Thirty-Second AAAI Conference on Artificial Intelligence. 32. doi:10.1609/aaai.v32i1.11834. S2CID 9212174.
Han, Tian; Nijkamp, Erik; Fang, Xiaolin; Hill, Mitch; Zhu, Song-Chun; Wu, Ying Nian (June 2019). "Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model". 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. pp. 8662–8671. doi:10.1109/cvpr.2019.00887. ISBN 978-1-7281-3293-8. S2CID 57189202.

worldcat.org

search.worldcat.org

Xie, Jianwen; Zhu, Song-Chun; Wu, Ying Nian (2019). "Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns". IEEE Transactions on Pattern Analysis and Machine Intelligence. 43 (2): 516–531. arXiv:1909.11975. Bibcode:2019arXiv190911975X. doi:10.1109/tpami.2019.2934852. ISSN 0162-8828. PMID 31425020. S2CID 201098397.
Wu, Ying Nian; Xie, Jianwen; Lu, Yang; Zhu, Song-Chun (2018). "Sparse and deep generalizations of the FRAME model". Annals of Mathematical Sciences and Applications. 3 (1): 211–254. doi:10.4310/amsa.2018.v3.n1.a7. ISSN 2380-288X.
Lecun, Y.; Bottou, L.; Bengio, Y.; Haffner, P. (1998). "Gradient-based learning applied to document recognition". Proceedings of the IEEE. 86 (11): 2278–2324. doi:10.1109/5.726791. ISSN 0018-9219. S2CID 14542261.
Nijkamp, Zhu, Song-Chun Wu, Ying Nian, Erik; Hill, Mitch; Zhu, Song-Chun; Wu, Ying Nian (2019). On Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model. NeurIPS. OCLC 1106340764.{{cite book}}: CS1 maint: location missing publisher (link) CS1 maint: multiple names: authors list (link)
Cai, Xu; Wu, Yang; Li, Guanbin; Chen, Ziliang; Lin, Liang (2019-07-17). "FRAME Revisited: An Interpretation View Based on Particle Evolution". Proceedings of the AAAI Conference on Artificial Intelligence. 33: 3256–3263. arXiv:1812.01186. doi:10.1609/aaai.v33i01.33013256. ISSN 2374-3468.
Xie, Jianwen; Lu, Yang; Gao, Ruiqi; Zhu, Song-Chun; Wu, Ying Nian (2020-01-01). "Cooperative Training of Descriptor and Generator Networks". IEEE Transactions on Pattern Analysis and Machine Intelligence. 42 (1): 27–45. arXiv:1609.09408. doi:10.1109/tpami.2018.2879081. ISSN 0162-8828. PMID 30387724. S2CID 7759006.