AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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TREVIS is proposed, an approach for learning decision trees with respect to complex objectives, based on the exploration of the latent space of a Tree Transformer Variational Auto-Encoder (TTVAE), that replaces the discrete search space with a continuous one, enabling gradient-based optimization via a differentiable su...
This work proposes a hierarchical, interpretable-by-design pivot selection model based on the similarity between pivots and input instances based on the similarity between pivots and input instances, which functions both as a pivot selection technique and a standalone predictive model.
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