AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A novel two-stage training framework for provably stable neural network observers that decouples the optimization into a point-guided Lyapunov pre-training phase, which rapidly achieves high estimation accuracy and local stability over sampled states and an LMI fine-tuning phase that efficiently satisfies a strict glob...
DART (Decoded Attention over Recurrent sTates), which retains the chunk state contributions produced by the Mamba-2 chunked scan as chunk state memories, decodes token-conditioned keys and values from these memories, and performs state-memory attention (SMA) over the resulting KV pairs.
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