Uncertainty Quantification

Bayesian Neural Networks Distributed Training Performance Analysis at Scale

The aim of the work is to perform distributed training of Bayesian Neural Networks on High Performance Computing Clusters.

Indoor Air Quality Sensor Placement Accounting for Airflow Uncertainty

The sensor placement algorithm accounting for building airflow uncertainty based on Perron-Frobenius Operator.