Procés gaussià de xarxa neuronal (Catalan Wikipedia)

Analysis of information sources in references of the Wikipedia article "Procés gaussià de xarxa neuronal" in Catalan language version.

refsWebsite

Global rank Catalan rank

10arxiv.org

69^th place

186^th place

8harvard.edu

18^th place

40^th place

1caltech.edu

887^th place

617^th place

1doi.org

2^nd place

6^th place

1worldcat.org

5^th place

1nips.cc

low place

1openreview.net

low place

arxiv.org

Guo, Chuan; Pleiss, Geoff; Sun, Yu; Weinberger, Kilian Q. «"On calibration of modern neural networks"». Proceedings of the 34th International Conference on Machine Learning-Volume 70, 2017. arXiv: 1706.04599.
Lee, Jaehoon; Bahri, Yasaman; Novak, Roman; Schoenholz, Samuel S.; Pennington, Jeffrey «"Deep Neural Networks as Gaussian Processes"». International Conference on Learning Representations, 2017. arXiv: 1711.00165. Bibcode: 2017arXiv171100165L.
G. de G. Matthews, Alexander; Rowland, Mark; Hron, Jiri; Turner, Richard E.; Ghahramani, Zoubin «"Gaussian Process Behaviour in Wide Deep Neural Networks"». International Conference on Learning Representations, 2017. arXiv: 1804.11271. Bibcode: 2018arXiv180411271M.
Novak, Roman; Xiao, Lechao; Lee, Jaehoon; Bahri, Yasaman; Yang, Greg «"Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes"». International Conference on Learning Representations, 2018. arXiv: 1810.05148. Bibcode: 2018arXiv181005148N.
Garriga-Alonso, Adrià; Aitchison, Laurence; Rasmussen, Carl Edward «"Deep Convolutional Networks as shallow Gaussian Processes"». International Conference on Learning Representations, 2018. arXiv: 1808.05587. Bibcode: 2018arXiv180805587G.
Yang, Greg «"Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"». Advances in Neural Information Processing Systems, 2019. arXiv: 1910.12478. Bibcode: 2019arXiv191012478Y.
Novak, Roman; Bahri, Yasaman; Abolafia, Daniel A.; Pennington, Jeffrey; Sohl-Dickstein, Jascha «"Sensitivity and Generalization in Neural Networks: an Empirical Study"». International Conference on Learning Representations, 15-02-2018. arXiv: 1802.08760. Bibcode: 2018arXiv180208760N.
Canziani, Alfredo; Paszke, Adam; Culurciello, Eugenio "An Analysis of Deep Neural Network Models for Practical Applications, 04-11-2016. arXiv: 1605.07678. Bibcode: 2016arXiv160507678C.
Neyshabur, Behnam; Li, Zhiyuan; Bhojanapalli, Srinadh; LeCun, Yann; Srebro, Nathan «"Towards understanding the role of over-parametrization in generalization of neural networks".». International Conference on Learning Representations, 2019. arXiv: 1805.12076. Bibcode: 2018arXiv180512076N.
Schoenholz, Samuel S.; Gilmer, Justin; Ganguli, Surya; Sohl-Dickstein, Jascha International Conference on Learning Representations, 2016. arXiv: 1611.01232.

caltech.edu

resolver.caltech.edu

MacKay, David J. C. «"A Practical Bayesian Framework for Backpropagation Networks"». Neural Computation, 4, 3, 1992, pàg. 448–472. DOI: 10.1162/neco.1992.4.3.448. ISSN: 0899-7667.

doi.org

dx.doi.org

MacKay, David J. C. «"A Practical Bayesian Framework for Backpropagation Networks"». Neural Computation, 4, 3, 1992, pàg. 448–472. DOI: 10.1162/neco.1992.4.3.448. ISSN: 0899-7667.

harvard.edu

adsabs.harvard.edu

Lee, Jaehoon; Bahri, Yasaman; Novak, Roman; Schoenholz, Samuel S.; Pennington, Jeffrey «"Deep Neural Networks as Gaussian Processes"». International Conference on Learning Representations, 2017. arXiv: 1711.00165. Bibcode: 2017arXiv171100165L.
G. de G. Matthews, Alexander; Rowland, Mark; Hron, Jiri; Turner, Richard E.; Ghahramani, Zoubin «"Gaussian Process Behaviour in Wide Deep Neural Networks"». International Conference on Learning Representations, 2017. arXiv: 1804.11271. Bibcode: 2018arXiv180411271M.
Novak, Roman; Xiao, Lechao; Lee, Jaehoon; Bahri, Yasaman; Yang, Greg «"Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes"». International Conference on Learning Representations, 2018. arXiv: 1810.05148. Bibcode: 2018arXiv181005148N.
Garriga-Alonso, Adrià; Aitchison, Laurence; Rasmussen, Carl Edward «"Deep Convolutional Networks as shallow Gaussian Processes"». International Conference on Learning Representations, 2018. arXiv: 1808.05587. Bibcode: 2018arXiv180805587G.
Yang, Greg «"Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"». Advances in Neural Information Processing Systems, 2019. arXiv: 1910.12478. Bibcode: 2019arXiv191012478Y.
Novak, Roman; Bahri, Yasaman; Abolafia, Daniel A.; Pennington, Jeffrey; Sohl-Dickstein, Jascha «"Sensitivity and Generalization in Neural Networks: an Empirical Study"». International Conference on Learning Representations, 15-02-2018. arXiv: 1802.08760. Bibcode: 2018arXiv180208760N.
Canziani, Alfredo; Paszke, Adam; Culurciello, Eugenio "An Analysis of Deep Neural Network Models for Practical Applications, 04-11-2016. arXiv: 1605.07678. Bibcode: 2016arXiv160507678C.
Neyshabur, Behnam; Li, Zhiyuan; Bhojanapalli, Srinadh; LeCun, Yann; Srebro, Nathan «"Towards understanding the role of over-parametrization in generalization of neural networks".». International Conference on Learning Representations, 2019. arXiv: 1805.12076. Bibcode: 2018arXiv180512076N.

nips.cc

papers.nips.cc

Yang, Greg «"Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"». Advances in Neural Information Processing Systems, 2019. arXiv: 1910.12478. Bibcode: 2019arXiv191012478Y.

openreview.net

Novak, Roman; Bahri, Yasaman; Abolafia, Daniel A.; Pennington, Jeffrey; Sohl-Dickstein, Jascha «"Sensitivity and Generalization in Neural Networks: an Empirical Study"». International Conference on Learning Representations, 15-02-2018. arXiv: 1802.08760. Bibcode: 2018arXiv180208760N.

worldcat.org

MacKay, David J. C. «"A Practical Bayesian Framework for Backpropagation Networks"». Neural Computation, 4, 3, 1992, pàg. 448–472. DOI: 10.1162/neco.1992.4.3.448. ISSN: 0899-7667.