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Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks.

M. Chen, J. Pennington, and S. Schoenholz. ICML, volume 80 of Proceedings of Machine Learning Research, page 872-881. PMLR, (2018)

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Jeffrey Johnson

Jeffrey Gaynor

Jeffrey Donahue

jeffrey Wimmer

Jeffrey Windisch

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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)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)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)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)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)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)A Random Matrix Perspective on Mixtures of Nonlinearities for Deep Learning.B. Adlam, J. Levinson, and J. Pennington. CoRR, (2019)Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks.W. Hu, L. Xiao, and J. Pennington. ICLR, OpenReview.net, (2020)

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Disambiguation of "Pennington, Jeffrey"

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Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks.

Please choose a person to relate this publication to

Jeffrey Johnson

Jeffrey Gaynor

Jeffrey Donahue

jeffrey Wimmer

Jeffrey Windisch

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 Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks.

Please choose a person to relate this publication to

Jeffrey Johnson

Jeffrey Gaynor

Jeffrey Donahue

jeffrey Wimmer

Jeffrey Windisch

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks.