AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work studies tree tensor networks (TTNs), a model class that generalizes deep linear networks and Tucker decompositions and shows they embed arbitrary read-once Boolean formulas, and thus contain polynomial-size targets that cannot be learned by gradient descent in polynomial time under the same mechanism as neura...
SCAN is introduced, an offline method for detecting multiple distributional change-points in long, serially dependent univariate time series and achieves higher covering and F1-scores than competing methods across mean and joint mean-variance shifts, particularly under serial dependence.
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