Alexandre M. Tartakovsky

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[2408.11145] Total Uncertainty Quantification in Inverse PDE Solutions Obtained with Reduced-Order Deep Learning Surrogate Models

Aug 20, 2024 | arxiv.org | Alexandre M. Tartakovsky

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Differentiable modelling to unify machine learning and physical models for geosciences - Nature Reviews Earth & Environment

Jul 11, 2023 | nature.com | Chaopeng Shen |Alison P. Appling |Pierre Gentine |Alexandre M. Tartakovsky |Xiaofeng Liu |Dapeng Feng | +5 more

AbstractProcess-based modelling offers interpretability and physical consistency in many domains of geosciences but struggles to leverage large datasets efficiently. Machine-learning methods, especially deep networks, have strong predictive skills yet are unable to answer specific scientific questions.

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