A machine-learning framework that optimizes lossy descriptions of a system's components to extremize total correlation and O-information reveals new structure in spin, sudoku, and language data.
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Surveying the space of descriptions of a composite system with machine learning
A machine-learning framework that optimizes lossy descriptions of a system's components to extremize total correlation and O-information reveals new structure in spin, sudoku, and language data.