AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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KANs with Tractable Operators for Uncertainty and Constraints (TOUCKANs) are introduced, making statistical operators and integral constraints directly available within an expressive neural surrogate.
This work proposes a certified regularization for ill-posed in vivo brain-flow reconstruction, developed a spectrally convergent physics-informed architecture, and established machine-checked universal-approximation theorems for two widely used architectures.
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