Uncertainty Quantification

Toward Safe Decision-Making via Uncertainty Quantification in Machine Learning

Computational Intelligence in Uncertainty Quantification for Learning Controland Differential Games

Ursabench: Comprehensive benchmarking of approximate bayesian inference methods for deep neural networks

On uncertainty and robustness in large-scale intelligent data fusion systems

Generalized bayesian posterior expectation distillation for deep neural networks

Better call surrogates: A hybrid evolutionary algorithm for hyperparameter optimization

Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification

Adversarial Distillation of Bayesian Neural Networks

Are Graph Neural Networks Miscalibrated?

Uncertainty Quantification in Internet of Battlefield Things