Zobrazeno 1 - 10
of 6 493
pro vyhledávání: '"A. KUNIN"'
Autor:
S.I. Patel, R. Ghebre, R. Dwivedi, K. Macheledt, S. Watson, B.L. Duffy, E.A. Rogers, S. Pusalavidyasagar, C. Guo, S. Misono, M.D. Evans, K. Lingras, A. Kunin-Batson, C.A. McCarty, C. Sandoval-Garcia, N. Nakib, C. Johnson, S. Barker, S. Hutto, A.L. Church, V. Vezys, A. Girard, S. Spencer, J.M. Berge
Publikováno v:
Preventive Medicine Reports, Vol 36, Iss , Pp 102517- (2023)
Prior research suggests COVID-19 has amplified stress on Academic Clinician Frontline-Workers (ACFW). The aim of this paper is: (1) to better understand the experiences of ACFW during the COVID-19 pandemic including their mental-emotional wellbeing,
Externí odkaz:
https://doaj.org/article/de36301729444cb381dfdc14a76ca39d
Autor:
Dominé, Clémentine C. J., Anguita, Nicolas, Proca, Alexandra M., Braun, Lukas, Kunin, Daniel, Mediano, Pedro A. M., Saxe, Andrew M.
Biological and artificial neural networks develop internal representations that enable them to perform complex tasks. In artificial networks, the effectiveness of these models relies on their ability to build task specific representation, a process i
Externí odkaz:
http://arxiv.org/abs/2409.14623
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning
Autor:
Kunin, Daniel, Raventós, Allan, Dominé, Clémentine, Chen, Feng, Klindt, David, Saxe, Andrew, Ganguli, Surya
While the impressive performance of modern neural networks is often attributed to their capacity to efficiently extract task-relevant features from data, the mechanisms underlying this rich feature learning regime remain elusive, with much of our the
Externí odkaz:
http://arxiv.org/abs/2406.06158
Autor:
Bakalis, Jin, Chernov, Sergii, Li, Ziling, Kunin, Alice, Withers, Zachary H., Cheng, Shuyu, Adler, Alexander, Zhao, Peng, Corder, Christopher, White, Michael G., Schönhense, Gerd, Du, Xu, Kawkami, Roland, Allison, Thomas K.
Publikováno v:
Nano Lett. 24, 9353 (2024)
The unique optical properties of graphene, with broadband absorption and ultrafast response, make it a critical component of optoelectronic and spintronic devices. Using time-resolved momentum microscopy with high data rate and high dynamic range, we
Externí odkaz:
http://arxiv.org/abs/2402.13205
In this work, we reveal a strong implicit bias of stochastic gradient descent (SGD) that drives overly expressive networks to much simpler subnetworks, thereby dramatically reducing the number of independent parameters, and improving generalization.
Externí odkaz:
http://arxiv.org/abs/2306.04251
Autor:
Alicia S. Kunin‐Batson, A. Lauren Crain, Nancy E. Sherwood, Aaron S. Kelly, Elyse O. Kharbanda, Megan R. Gunnar, Jacob Haapala, Elisabeth M. Seburg, Simone A. French
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 18 (2024)
Background Previous studies have found that exposure to childhood environmental stress is associated with cardiometabolic risk. However, it is not known whether individual health behaviors disrupt this relationship. This study prospectively evaluated
Externí odkaz:
https://doaj.org/article/1297267aa2a942d09cf92d82973b0ac5
In this work, we explore the maximum-margin bias of quasi-homogeneous neural networks trained with gradient flow on an exponential loss and past a point of separability. We introduce the class of quasi-homogeneous models, which is expressive enough t
Externí odkaz:
http://arxiv.org/abs/2210.03820
In this article, we propose the approach to structural optimization of neural networks, based on the braid theory. The paper describes the basics of braid theory as applied to the description of graph structures of neural networks. It is shown how ne
Externí odkaz:
http://arxiv.org/abs/2207.04121
A quadratic approximation of neural network loss landscapes has been extensively used to study the optimization process of these networks. Though, it usually holds in a very small neighborhood of the minimum, it cannot explain many phenomena observed
Externí odkaz:
http://arxiv.org/abs/2204.11326
Autor:
Kunin, Alice, Chernov, Sergey, Bakalis, Jin, Li, Ziling, Cheng, Shuyu, Withers, Zachary H., White, Michael G., Schönhense, Gerd, Du, Xu, Kawakami, Roland K., Allison, Thomas K.
Publikováno v:
Phys. Rev. Lett. 130, 046202 (2023)
Coupling between exciton states across the Brillouin zone in monolayer transition metal dichalcogenides can lead to ultrafast valley depolarization. Using time- and angle-resolved photoemission, we present momentum- and energy-resolved measurements o
Externí odkaz:
http://arxiv.org/abs/2203.02419