UQpy: A general purpose Python package and development environment for uncertainty quantification. - Audrey Olivier; Dimitris G. Giovanis; B. S. Aakash; Mohit Singh Chauhan; Lohit Vandanapu; Michael D. Shields (J. Comput. Sci., 2020)

Simulating New York City Hospital Load Balancing During COVID-19. - Enrique Lelo de Larrea; Henry Lam; Elioth Sanabria; Jay Sethuraman; Sevin Mohammadi; Audrey Olivier; Andrew W. Smyth; Edward M. Dolan; Nicholas E. Johnson; Timothy R. Kepler; Afsan Quayyum; Kathleen S. Thomson (WSC, 2021)

Short-Term Adaptive Emergency Call Volume Prediction. - Elioth Sanabria; Henry Lam; Enrique Lelo de Larrea; Jay Sethuraman; Sevin Mohammadi; Audrey Olivier; Andrew W. Smyth; Edward M. Dolan; Nicholas E. Johnson; Timothy R. Kepler; Afsan Quayyum; Kathleen S. Thomson (WSC, 2021)

An efficient optimization based microstructure reconstruction approach with multiple loss functions. - Anindya Bhaduri; Ashwini Gupta; Audrey Olivier; Lori Graham-Brady (CoRR, 2021)

Bayesian neural networks with physics-aware regularization for probabilistic travel time modeling. - Audrey Olivier; Sevin Mohammadi; Andrew W. Smyth; Matt Adams (Comput. Aided Civ. Infrastructure Eng., 2023)

UQpy v4.1: Uncertainty quantification with Python. - Dimitrios Tsapetis; Michael D. Shields; Dimitris G. Giovanis; Audrey Olivier; Lukás Novák; Promit Chakroborty; Himanshu Sharma; Mohit Singh Chauhan; Katiana Kontolati; Lohit Vandanapu; Dimitrios Loukrezis; Michael Gardner (SoftwareX, 2023)

Empowering Bayesian Neural Networks with Functional Priors through Anchored Ensembling for Mechanics Surrogate Modeling Applications. - Javad Ghorbanian; Nicholas Casaprima; Audrey Olivier (CoRR, 2024)