AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work studies prediction parameterization for stochastic generative dynamics in diffusion models. Existing velocity-based generative models provide the simplicity of learning a single transport field, but their standard formulation is deterministic, whereas stochastic extensions generally require additional score i...
Generating synthetic aperture radar (SAR) images at unknown azimuth angles under limited sample conditions remains a challenging task, since target scattering characteristics vary significantly with observation angle and are difficult to model effectively using only image-domain priors. To address this issue, this pape...
A unified backbone-expert framework with a common convolutional state-space backbone and two specialized interfaces for automatic modulation recognition, confirming the benefit of expert-interface decoupling over one-size-fits-all architectures.
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