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On the Semi-supervised Expectation Maximization
We focus on a semi-supervised case to learn the model from labeled and unlabeled samples.
Common Information Components Analysis
We give an information-theoretic interpretation of Canonical Correlation Analysis (CCA) via (relaxed) Wyner's common information.
Supply-Power-Constrained Cable Capacity Maximization Using Deep Neural Networks
We experimentally achieve a 19% capacity gain per Watt of electrical supply power in a 12-span link by eliminating gain flattening filters and optimizing launch powers using machine learning by deep neural networks in a massively parallel fiber context.
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