Author of the publication

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

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)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Jeffrey Gaynor

Jeffrey Johnson

Jeffrey Donahue

Jeffrey Windisch

jeffrey Wimmer

Other publications of authors with the same name

Disentangling trainability and generalization in deep learning.L. Xiao, J. Pennington, and S. Schoenholz. CoRR, (2019)Exact posterior distributions of wide Bayesian neural networks.J. Hron, Y. Bahri, R. Novak, J. Pennington, and J. Sohl-Dickstein. CoRR, (2020)Temperature check: theory and practice for training models with softmax-cross-entropy losses.A. Agarwala, J. Pennington, Y. Dauphin, and S. Schoenholz. CoRR, (2020)Nonlinear random matrix theory for deep learning.J. Pennington, and P. Worah. NIPS, page 2637-2646. (2017)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)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)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)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)Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks.W. Hu, L. Xiao, and J. Pennington. ICLR, OpenReview.net, (2020)

BibSonomy

Disambiguation of "Pennington, Jeffrey"

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

Clinical Data Research Network Lessons Learned.

Please choose a person to relate this publication to

Jeffrey Gaynor

Jeffrey Johnson

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 Clinical Data Research Network Lessons Learned.

Please choose a person to relate this publication to

Jeffrey Gaynor

Jeffrey Johnson

Jeffrey Donahue

Jeffrey Windisch

jeffrey Wimmer

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
Harvard
MSOffice XML

Clinical Data Research Network Lessons Learned.