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Yitzchak Shmalo

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Articles by Yitzchak Shmalo

Computer Science > Machine Learning

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By Yitzchak Shmalo, Victor Slavin, Roman Sarapin
| arXiv
In this paper we study autoencoders, a special class of deep neural nets (DNNs) whose performance can be characterized via their fixed points. This perspective naturally raises questions of existence, stability, and basins of attraction of these fixed points. These questions are addressed via the contractive properties of autoencoders, and are closely related to the notion of edge-of-chaos.
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Computer Science > Machine Learning

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By Theo Bourdais, Yitzchak Shmalo, Houman Owhad
| arXiv
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[2310.03165] Enhancing Accuracy in Deep Learning Using Random Matrix Theory

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By Lei Zhang, Etienne Sandier, Yitzchak Shmalo
| arXiv
arXiv:2310.03165 (cs) [Submitted on 4 Oct 2023 (v1), last revised 24 Dec 2023 (this version, v2)] Download PDF HTML (experimental) Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC) Cite as: arXiv:2310.03165 [cs.LG] (or arXiv:2310.03165v2 [cs.LG] for this version) https://doi.org/10.48550/arXiv.2310.03165 Submission history From: Yitzchak Shmalo [ view email] [v1] Wed, 4 Oct 2023 21:17:31 UTC (10,012 KB) [v2] Sun, 24 Dec 2023 23:58:42 UTC (10,253 KB) Bibliographic Tools...
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