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Showing 1–3 of 3 results
Advanced filters: Author: Alison P. Appling Clear advanced filters

  • Differentiable modelling is an approach that flexibly integrates the learning capability of machine learning with the interpretability of process-based models. This Perspective highlights the potential of differentiable modelling to improve the representation of processes, parameter estimation, and predictive accuracy in the geosciences.

    • Chaopeng Shen
    • Alison P. Appling
    • Kathryn Lawson
    Reviews
    Nature Reviews Earth & Environment
    Volume: 4, P: 552-567

  • This Review highlights the strengths and limitations of deep learning approaches relative to traditional approaches, emphasizing their potential as a currently underutilized yet promising avenue for advancing our understanding of water-quality sciences.

    • Wei Zhi
    • Alison P. Appling
    • Li Li
    Reviews
    Nature Water
    Volume: 2, P: 228-241