One of the greatest limitations of deep neural networks is the difficulty of interpreting what they learn from the data. Deep distilling addresses this problem by extracting human-comprehensible and executable code from observations.
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Bakarji, J. Distilling data into code. Nat Comput Sci 4, 92–93 (2024). https://doi.org/10.1038/s43588-024-00598-4
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DOI: https://doi.org/10.1038/s43588-024-00598-4
