Data Driven Interdisciplinary Science

Research Frontiers in Bayesian Deep Learning for Scientific Uncertainty

Integration of Bayesian inference with deep neural networks to quantify epistemic and aleatoric uncertainty in scientific predictions and model parameters.

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