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Advanced filters: Author: Joseph Bakarji Clear advanced filters

  • 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.

    • Joseph Bakarji
    News & Views
    Nature Computational Science
    Volume: 4, P: 92-93

  • Three machine learning methods are developed for discovering physically meaningful dimensionless groups and scaling parameters from data, with the Buckingham Pi theorem as a constraint.

    • Joseph Bakarji
    • Jared Callaham
    • J. Nathan Kutz
    Research
    Nature Computational Science
    Volume: 2, P: 834-844