AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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We study causal error-feedback coefficients as design variables for model quantization. Modeling instantaneous quantization errors as independent, zero-mean variables with a common fixed variance, we formulated a metric-dependent trace problem for designing feedback coefficients. The formulation resembles fixed-order G...
A novel unsupervised framework based on Variational Autoencoders (VAEs) to automatically sift through the XSA, which provides a scalable screening tool for multi-band light curves generated by the EPIC-pn Pipeline Processing System (PPS).
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