Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Papyan, Vardan
32  Ergebnisse:
Personensuche X
?
1

Expert surgeons and deep learning models can predict the ou..:

Pangal, Dhiraj J. ; Kugener, Guillaume ; Zhu, Yichao...
Scientific Reports.  12 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
?
2

Chapter 1: Artificial Intelligence and Discovering the Digi..:

, In: Archives, Access and Artificial Intelligence,
Han, X.Y. ; Papyan, Vardan ; Prokop, Ellen.. - p. 29-60 , 2022
Link: https://doi.org/10.1515/..
 
?
3

Chapter 1: Artificial Intelligence and Discovering the Digi..:

, In: Archives, Access and Artificial Intelligence; Digital Humanities Research,
Han, X.Y. ; Papyan, Vardan ; Prokop, Ellen.. - p. 29-60 , 2022
Link: https://doi.org/10.14361..
 
?
4

Prevalence of neural collapse during the terminal phase of ..:

Papyan, Vardan ; Han, X. Y. ; Donoho, David L.
Proceedings of the National Academy of Sciences.  117 (2020)  40 - p. 24652-24663 , 2020
Link: https://doi.org/10.1073/..
 
?
5

Prevalence of neural collapse during the terminal phase of ..:

Papyan, Vardan ; Han, X. Y. ; Donoho, David L.
Proceedings of the National Academy of Sciences of the United States of America.  117 (2020)  40 - p. 24652-24663 , 2020
Link: https://www.jstor.org/st..
 
?
6

Theoretical Foundations of Deep Learning via Sparse Represe..:

Papyan, Vardan ; Romano, Yaniv ; Sulam, Jeremias.
IEEE Signal Processing Magazine.  35 (2018)  4 - p. 72-89 , 2018
Link: https://doi.org/10.1109/..
 
?
7

Multimodal latent variable analysis:

Papyan, Vardan ; Talmon, Ronen
Signal Processing.  142 (2018)  - p. 178-187 , 2018
Link: https://doi.org/10.1016/..
 
?
8

Multi-Scale Patch-Based Image Restoration:

Papyan, Vardan ; Elad, Michael
IEEE Transactions on Image Processing.  25 (2016)  1 - p. 249-261 , 2016
Link: https://doi.org/10.1109/..
 
?
9

Residual Alignment: Uncovering the Mechanisms of Residual N..:

Li, Jianing ; Papyan, Vardan
http://arxiv.org/abs/2401.09018.  , 2024
Link: http://arxiv.org/abs/240..
 
?
10

Out of the Ordinary: Spectrally Adapting Regression for Cov..:

Eyre, Benjamin ; Creager, Elliot ; Madras, David..
http://arxiv.org/abs/2312.17463.  , 2023
Link: http://arxiv.org/abs/231..
 
?
11

LLM Censorship: A Machine Learning Challenge or a Computer ..:

Glukhov, David ; Shumailov, Ilia ; Gal, Yarin..
http://arxiv.org/abs/2307.10719.  , 2023
Link: http://arxiv.org/abs/230..
 
?
12

Expert surgeons and deep learning models can predict the ou..:

Pangal, Dhiraj J ; Kugener, Guillaume ; Zhu, Yichao...
https://doi.org/10.6084/m9.figshare.15132468.v1.  , 2022
Link: https://doi.org/10.1038/..
 
?
13

Utility of the Simulated Outcomes Following Carotid Artery ..:

Kugener, Guillaume ; Pangal, Dhiraj J ; Cardinal, Tyler...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938712/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
?
14

Expert surgeons and deep learning models can predict the ou..:

Pangal, Dhiraj J ; Kugener, Guillaume ; Zhu, Yichao...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114003/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
?
15

Utility of the Simulated Outcomes Following Carotid Artery ..:

Kugener, Guillaume ; Pangal, Dhiraj J ; Cardinal, Tyler...
https://doi.org/10.1001/jamanetworkopen.2022.3177.  , 2022
Link: https://doi.org/10.1001/..
 
1-15