AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Discovering causal structures in multivariate time series (MTS) is critical in domains such as finance and neuroscience, yet remains challenging in practice due to three distinct obstacles. First, MTS are routinely corrupted by missing values, where naive impute-then-discover pipelines distort the underlying data distr...
Computer programmers chain together the same reusable computational primitives, for example, conditional statements or loops, but in different orders to implement different algorithms. In contrast, existing language model architectures always execute their layers in the same order. We introduce Library of Layers (LoL),...
PolarFlow, a continuous geometric flow-matching framework based on polar decomposition and truncated spectral coordinates, achieves generative quality comparable to competitive discrete methods while substantially reducing training and sampling time.
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