Vardan Papyan

Vardan Papyan

University of Toronto

H-index: 13

North America-Canada

About Vardan Papyan

Vardan Papyan, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Deep Learning, Machine Learning, Data Science, Signal Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Pushing Boundaries: Mixup's Influence on Neural Collapse

Residual Alignment: Uncovering the Mechanisms of Residual Networks

Out of the ordinary: Spectrally adapting regression for covariate shift

LLM Censorship: The Problem and its Limitations

Llm censorship: A machine learning challenge or a computer security problem?

Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video

Utility of the simulated outcomes following carotid artery laceration video data set for machine learning applications

Automatic Assessment of Surgical Performance Using Intraoperative Video and Deep Learning: A Comparison with Expert Surgeon Video Review

Vardan Papyan Information

University

Position

Assistant Professor Department of Mathematics

Citations(all)

2009

Citations(since 2020)

1769

Cited By

923

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Vardan Papyan Skills & Research Interests

Deep Learning

Machine Learning

Data Science

Signal Processing

Top articles of Vardan Papyan

Pushing Boundaries: Mixup's Influence on Neural Collapse

arXiv preprint arXiv:2402.06171

2024/2/9

Vardan Papyan
Vardan Papyan

H-Index: 11

Residual Alignment: Uncovering the Mechanisms of Residual Networks

arXiv preprint arXiv:2401.09018

2024/1/17

Jianing Li
Jianing Li

H-Index: 7

Vardan Papyan
Vardan Papyan

H-Index: 11

Out of the ordinary: Spectrally adapting regression for covariate shift

2023

LLM Censorship: The Problem and its Limitations

2023/10/13

Llm censorship: A machine learning challenge or a computer security problem?

arXiv preprint arXiv:2307.10719

2023/7/20

Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video

Scientific reports

2022/5/17

Utility of the simulated outcomes following carotid artery laceration video data set for machine learning applications

JAMA network open

2022/3/1

Automatic Assessment of Surgical Performance Using Intraoperative Video and Deep Learning: A Comparison with Expert Surgeon Video Review

Journal of Neurological Surgery Part B: Skull Base

2022/2

Neural collapse under mse loss: Proximity to and dynamics on the central path

arXiv preprint arXiv:2106.02073

2021/6/3

Vardan Papyan
Vardan Papyan

H-Index: 11

AI and the digitized photoarchive: Promoting access and discoverability

Art Documentation: Journal of the Art Libraries Society of North America

2021/3/1

Vardan Papyan
Vardan Papyan

H-Index: 11

Prevalence of neural collapse during the terminal phase of deep learning training

Proceedings of the National Academy of Sciences

2020/10/6

Vardan Papyan
Vardan Papyan

H-Index: 11

Traces of class/cross-class structure pervade deep learning spectra

Journal of Machine Learning Research

2020

Vardan Papyan
Vardan Papyan

H-Index: 11

See List of Professors in Vardan Papyan University(University of Toronto)

Co-Authors

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