AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Higher-order Representation and Information Learning (HRIL), which constructs an empirical cross-moment tensor over modality embeddings to represent multi-way interactions and employs Tucker decomposition to obtain a core tensor, complemented by a synergy-aware regularizer that prevents energy concentration and preserv...
This survey presents an information-theoretic perspective connecting Mutual Information, the Information Bottleneck, and Partial Information Decomposition as progressively refined views of multimodal information processing, and discusses how emerging multimodal foundation models instantiate these principles at scale.
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