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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)

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Yasaman Rahbar

Nesrine Bahri

Daoud Bahri

Yasaman Karami

Bahri Yilmaz

Other publications of authors with the same name

Explaining Neural Scaling Laws.Y. Bahri, E. Dyer, J. Kaplan, J. Lee, and U. Sharma. CoRR, (2021)Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes.R. Novak, L. Xiao, Y. Bahri, J. Lee, G. Yang, J. Hron, D. Abolafia, J. Pennington, and J. Sohl-Dickstein. ICLR (Poster), OpenReview.net, (2019)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsA. Srivastava, A. Rastogi, A. Rao, A. Shoeb, A. Abid, A. Fisch, A. Brown, A. Santoro, A. Gupta, A. Garriga-Alonso and 441 other author(s). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent.J. Lee, L. Xiao, S. Schoenholz, Y. Bahri, J. Sohl-Dickstein, and J. Pennington. CoRR, (2019)Quantum Many-Body Physics Calculations with Large Language Models.H. Pan, N. Mudur, W. Taranto, M. Tikhanovskaya, S. Venugopalan, Y. Bahri, M. Brenner, and E. Kim. CoRR, (2024)The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning.A. Andreassen, Y. Bahri, B. Neyshabur, and R. Roelofs. CoRR, (2021)The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning.A. Andreassen, Y. Bahri, B. Neyshabur, and R. Roelofs. Trans. Mach. Learn. Res., (2022)Geometry of Neural Network Loss Surfaces via Random Matrix Theory.J. Pennington, and Y. Bahri. ICML, volume 70 of Proceedings of Machine Learning Research, page 2798-2806. PMLR, (2017)Bayesian Deep Convolutional Networks with Many Channels are Gaussian ProcessesR. Novak, L. Xiao, J. Lee, Y. Bahri, G. Yang, J. Hron, D. Abolafia, J. Pennington, and J. Sohl-Dickstein. (2018)cite arxiv:1810.05148Comment: Published as a conference paper at ICLR 2019.Statistical Mechanics of Deep LearningY. Bahri, J. Kadmon, J. Pennington, S. Schoenholz, J. Sohl-Dickstein, and S. Ganguli. Annual Review of Condensed Matter Physics, 11 (1): null (2020)

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Disambiguation of "Bahri, Yasaman"

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Deep Neural Networks as Gaussian Processes.

Please choose a person to relate this publication to

Yasaman Rahbar

Nesrine Bahri

Daoud Bahri

Yasaman Karami

Bahri Yilmaz

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bahri, Yasaman"

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

Yasaman Rahbar

Nesrine Bahri

Daoud Bahri

Yasaman Karami

Bahri Yilmaz

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Deep Neural Networks as Gaussian Processes.