Information bottleneck method (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Information bottleneck method" in English language version.

refsWebsite

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5doi.org

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4arxiv.org

69^th place

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4semanticscholar.org

11^th place

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3harvard.edu

18^th place

17^th place

3nih.gov

4^th place

2mlr.press

low place

2psu.edu

207^th place

136^th place

2nips.cc

low place

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1huji.ac.il

3,903^rd place

3,632^nd place

1openreview.net

low place

1jmlr.org

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1worldcat.org

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1archive.org

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archive.org

Silverman, Bernie (1986). Density Estimation for Statistics and Data Analysis. Chapman & Hall. Bibcode:1986desd.book.....S. ISBN 978-0412246203. {{cite book}}: |journal= ignored (help)

arxiv.org

Shwartz-Ziv, Ravid; Tishby, Naftali (2017). "Opening the black box of deep neural networks via information". arXiv:1703.00810 [cs.LG].
Noshad, Morteza; et al. (2018). "Scalable Mutual Information Estimation using Dependence Graphs". arXiv:1801.09125 [cs.IT].
Goldfeld, Ziv; et al. (2019). "Estimating Information Flow in Deep Neural Networks". Icml 2019: 2299–2308. arXiv:1810.05728.
Geiger, Bernhard C. (2022). "On Information Plane Analyses of Neural Network Classifiers—A Review". IEEE Transactions on Neural Networks and Learning Systems. 33 (12): 7039–7051. arXiv:2003.09671. doi:10.1109/TNNLS.2021.3089037. PMID 34191733. S2CID 214611728.

doi.org

Andrew M, Saxe; et al. (2018). "On the information bottleneck theory of deep learning". ICLR 2018 Conference Blind Submission. 2019 (12): 124020. Bibcode:2019JSMTE..12.4020S. doi:10.1088/1742-5468/ab3985. S2CID 49584497.
Geiger, Bernhard C. (2022). "On Information Plane Analyses of Neural Network Classifiers—A Review". IEEE Transactions on Neural Networks and Learning Systems. 33 (12): 7039–7051. arXiv:2003.09671. doi:10.1109/TNNLS.2021.3089037. PMID 34191733. S2CID 214611728.
Creutzig, Felix; Sprekeler, Henning (2007-12-17). "Predictive Coding and the Slowness Principle: An Information-Theoretic Approach". Neural Computation. 20 (4): 1026–1041. CiteSeerX 10.1.1.169.6917. doi:10.1162/neco.2008.01-07-455. ISSN 0899-7667. PMID 18085988. S2CID 2138951.
Creutzig, Felix; Globerson, Amir; Tishby, Naftali (2009-04-27). "Past-future information bottleneck in dynamical systems". Physical Review E. 79 (4): 041925. Bibcode:2009PhRvE..79d1925C. doi:10.1103/PhysRevE.79.041925. PMID 19518274.
Slonim, Noam; Tishby, Naftali (2000-01-01). "Document clustering using word clusters via the information bottleneck method". Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval. SIGIR '00. New York, NY, USA: ACM. pp. 208–215. CiteSeerX 10.1.1.21.3062. doi:10.1145/345508.345578. ISBN 978-1-58113-226-7. S2CID 1373541.

harvard.edu

ui.adsabs.harvard.edu

Andrew M, Saxe; et al. (2018). "On the information bottleneck theory of deep learning". ICLR 2018 Conference Blind Submission. 2019 (12): 124020. Bibcode:2019JSMTE..12.4020S. doi:10.1088/1742-5468/ab3985. S2CID 49584497.
Creutzig, Felix; Globerson, Amir; Tishby, Naftali (2009-04-27). "Past-future information bottleneck in dynamical systems". Physical Review E. 79 (4): 041925. Bibcode:2009PhRvE..79d1925C. doi:10.1103/PhysRevE.79.041925. PMID 19518274.
Silverman, Bernie (1986). Density Estimation for Statistics and Data Analysis. Chapman & Hall. Bibcode:1986desd.book.....S. ISBN 978-0412246203. {{cite book}}: |journal= ignored (help)

huji.ac.il

cs.huji.ac.il

Tishby, Naftali; Pereira, Fernando C.; Bialek, William (September 1999). The Information Bottleneck Method (PDF). The 37th annual Allerton Conference on Communication, Control, and Computing. pp. 368–377.

jmlr.org

Chechik, Gal; Globerson, Amir; Tishby, Naftali; Weiss, Yair (1 January 2005). Dayan, Peter (ed.). "Information Bottleneck for Gaussian Variables" (PDF). Journal of Machine Learning Research (6) (published 1 May 2005): 165–188.

mlr.press

proceedings.mlr.press

Kenji Kawaguchi, Zhun Deng, Xu Ji, Jiaoyang Huang."How Does Information Bottleneck Help Deep Learning?" Proceedings of the 40th International Conference on Machine Learning, PMLR 202:16049-16096, 2023.
Goldfeld, Ziv; et al. (2019). "Estimating Information Flow in Deep Neural Networks". Icml 2019: 2299–2308. arXiv:1810.05728.

nih.gov

pubmed.ncbi.nlm.nih.gov

Geiger, Bernhard C. (2022). "On Information Plane Analyses of Neural Network Classifiers—A Review". IEEE Transactions on Neural Networks and Learning Systems. 33 (12): 7039–7051. arXiv:2003.09671. doi:10.1109/TNNLS.2021.3089037. PMID 34191733. S2CID 214611728.
Creutzig, Felix; Sprekeler, Henning (2007-12-17). "Predictive Coding and the Slowness Principle: An Information-Theoretic Approach". Neural Computation. 20 (4): 1026–1041. CiteSeerX 10.1.1.169.6917. doi:10.1162/neco.2008.01-07-455. ISSN 0899-7667. PMID 18085988. S2CID 2138951.
Creutzig, Felix; Globerson, Amir; Tishby, Naftali (2009-04-27). "Past-future information bottleneck in dynamical systems". Physical Review E. 79 (4): 041925. Bibcode:2009PhRvE..79d1925C. doi:10.1103/PhysRevE.79.041925. PMID 19518274.

nips.cc

papers.nips.cc

Tishby, Naftali; Slonim, N. Data clustering by Markovian Relaxation and the Information Bottleneck Method (PDF). Neural Information Processing Systems (NIPS) 2000. pp. 640–646.
Chechik, Gal; Tishby, Naftali (2002). "Extracting Relevant Structures with Side Information" (PDF). Advances in Neural Information Processing Systems: 857–864.

openreview.net

Andrew M, Saxe; et al. (2018). "On the information bottleneck theory of deep learning". ICLR 2018 Conference Blind Submission. 2019 (12): 124020. Bibcode:2019JSMTE..12.4020S. doi:10.1088/1742-5468/ab3985. S2CID 49584497.

psu.edu

citeseerx.ist.psu.edu

Creutzig, Felix; Sprekeler, Henning (2007-12-17). "Predictive Coding and the Slowness Principle: An Information-Theoretic Approach". Neural Computation. 20 (4): 1026–1041. CiteSeerX 10.1.1.169.6917. doi:10.1162/neco.2008.01-07-455. ISSN 0899-7667. PMID 18085988. S2CID 2138951.
Slonim, Noam; Tishby, Naftali (2000-01-01). "Document clustering using word clusters via the information bottleneck method". Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval. SIGIR '00. New York, NY, USA: ACM. pp. 208–215. CiteSeerX 10.1.1.21.3062. doi:10.1145/345508.345578. ISBN 978-1-58113-226-7. S2CID 1373541.

semanticscholar.org

api.semanticscholar.org

Andrew M, Saxe; et al. (2018). "On the information bottleneck theory of deep learning". ICLR 2018 Conference Blind Submission. 2019 (12): 124020. Bibcode:2019JSMTE..12.4020S. doi:10.1088/1742-5468/ab3985. S2CID 49584497.
Geiger, Bernhard C. (2022). "On Information Plane Analyses of Neural Network Classifiers—A Review". IEEE Transactions on Neural Networks and Learning Systems. 33 (12): 7039–7051. arXiv:2003.09671. doi:10.1109/TNNLS.2021.3089037. PMID 34191733. S2CID 214611728.
Creutzig, Felix; Sprekeler, Henning (2007-12-17). "Predictive Coding and the Slowness Principle: An Information-Theoretic Approach". Neural Computation. 20 (4): 1026–1041. CiteSeerX 10.1.1.169.6917. doi:10.1162/neco.2008.01-07-455. ISSN 0899-7667. PMID 18085988. S2CID 2138951.
Slonim, Noam; Tishby, Naftali (2000-01-01). "Document clustering using word clusters via the information bottleneck method". Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval. SIGIR '00. New York, NY, USA: ACM. pp. 208–215. CiteSeerX 10.1.1.21.3062. doi:10.1145/345508.345578. ISBN 978-1-58113-226-7. S2CID 1373541.

worldcat.org

search.worldcat.org

Creutzig, Felix; Sprekeler, Henning (2007-12-17). "Predictive Coding and the Slowness Principle: An Information-Theoretic Approach". Neural Computation. 20 (4): 1026–1041. CiteSeerX 10.1.1.169.6917. doi:10.1162/neco.2008.01-07-455. ISSN 0899-7667. PMID 18085988. S2CID 2138951.