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Deep Neural Networks as Gaussian Processes.

J. Lee, Y. Bahri, R. Novak, S. Schoenholz, J. Pennington, and J. Sohl-Dickstein. CoRR, (2017)

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Jeffrey Johnson

Jeffrey Gaynor

Jeffrey Donahue

Jeffrey Windisch

jeffrey Wimmer

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Nonlinear random matrix theory for deep learning.J. Pennington, and P. Worah. NIPS, page 2637-2646. (2017)Second-order regression models exhibit progressive sharpening to the edge of stability.A. Agarwala, F. Pedregosa, and J. Pennington. ICML, volume 202 of Proceedings of Machine Learning Research, page 169-195. PMLR, (2023)A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions.B. Adlam, J. Levinson, and J. Pennington. AISTATS, volume 151 of Proceedings of Machine Learning Research, page 3434-3457. PMLR, (2022)Deep Neural Networks as Gaussian Processes.J. Lee, Y. Bahri, R. Novak, S. Schoenholz, J. Pennington, and J. Sohl-Dickstein. ICLR (Poster), OpenReview.net, (2018)Clinical Data Research Network Lessons Learned.K. Murphy, J. Pennington, A. Browne, B. Ruth, R. Khare, L. Davidson, P. Morris, L. Utidjian, and C. Bailey. CRI, AMIA, (2016)Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability.J. Hron, L. Culp, G. Elsayed, R. Liu, B. Adlam, M. Bileschi, B. Bohnet, J. Co-Reyes, N. Fiedel, C. Freeman and 21 other author(s). CoRR, (2024)Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.A. Singh, J. Co-Reyes, R. Agarwal, A. Anand, P. Patil, X. Garcia, P. Liu, J. Harrison, J. Lee, K. Xu and 31 other author(s). Trans. Mach. Learn. Res., (2024)Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks.W. Hu, L. Xiao, and J. Pennington. ICLR, OpenReview.net, (2020)A Random Matrix Perspective on Mixtures of Nonlinearities for Deep Learning.B. Adlam, J. Levinson, and J. Pennington. CoRR, (2019)KAMA-NNs: Low-dimensional Rotation Based Neural Networks.K. Choromanski, A. Pacchiano, J. Pennington, and Y. Tang. AISTATS, volume 89 of Proceedings of Machine Learning Research, page 236-245. PMLR, (2019)

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Disambiguation of "Pennington, Jeffrey"

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Deep Neural Networks as Gaussian Processes.

Please choose a person to relate this publication to

Jeffrey Johnson

Jeffrey Gaynor

Jeffrey Donahue

Jeffrey Windisch

jeffrey Wimmer

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pennington, Jeffrey"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Neural Networks as Gaussian Processes.

Please choose a person to relate this publication to

Jeffrey Johnson

Jeffrey Gaynor

Jeffrey Donahue

Jeffrey Windisch

jeffrey Wimmer

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Deep Neural Networks as Gaussian Processes.