Data Driven Interdisciplinary Science

Research Frontiers in Uncertainty Quantification in Scientific Machine Learning

Develops Bayesian neural networks, ensemble methods, and probabilistic models to quantify prediction confidence in physics-informed and data-driven applications.

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