AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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CANTO is introduced, a transformer neural operator that maps directly from continuous CAD geometry to physical fields, without meshing the input geometry, and achieves state-of-the-art accuracy on most evaluated surface and volume prediction tasks.
Tensor methods have played a central role in analyzing multi-dimensional data across a wide range of real-world applications. At the same time, these methods provide low-rank representations, which enable trustworthy and parsimonious machine learning systems. However, even though they hold great promise, tensor methods...
This workshop aims to provide a forum for advancing tensor methods and applying them to various applications at the intersection of data mining and modern machine learning to foster an interactive environment for researchers to exchange ideas and build connections across communities.
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