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Ashit Baran Aich on Muck Rack

Ashit Baran Aich

As seen in: Taylor & Francis Online
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Articles

Convergence guarantees for gradient descent in deep neural networks with non-convex loss functions

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By Bruce A. Wade, Agnideep Aich, Ashit Baran Aich
| Taylor & Francis Online
Advanced search International Journal of Computer Mathematics Latest Articles Submit an article Journal homepage Full Article Figures & data References Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/00207160.2025.2522349?needAccess=true Abstract Despite the empirical success of deep neural networks (DNNs), theoretical understanding of their optimization dynamics remains limited due to non-convex loss landscapes.
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