| Bayesian neural networks for uncertainty quantification in data-driven materials modeling A Olivier, MD Shields, L Graham-Brady Computer Methods in Applied Mechanics and Engineering 386, 114079, 2021 | 71 | 2021 |
| UQpy: A general purpose Python package and development environment for uncertainty quantification A Olivier, D Giovanis, BS Aakash, M Chauhan, L Vandanapu, MD Shields Journal of Computational Science 47, 101204, 2020 | 63 | 2020 |
| Particle filtering and marginalization for parameter identification in structural systems A Olivier, AW Smyth Structural Control and Health Monitoring 24 (3), e1874, 2017 | 32 | 2017 |
| An efficient optimization based microstructure reconstruction approach with multiple loss functions A Bhaduri, A Gupta, A Olivier, L Graham-Brady Computational Materials Science 199, 110709, 2021 | 26 | 2021 |
| Review of nonlinear filtering for SHM with an exploration of novel higher-order Kalman filtering algorithms for uncertainty quantification A Olivier, AW Smyth Journal of Engineering Mechanics 143 (11), 04017128, 2017 | 25 | 2017 |
| On the performance of online parameter estimation algorithms in systems with various identifiability properties A Olivier, AW Smyth Frontiers in Built Environment 3, 14, 2017 | 21 | 2017 |
| A marginalized unscented Kalman filter for efficient parameter estimation with applications to finite element models A Olivier, AW Smyth Computer Methods in Applied Mechanics and Engineering 339, 615-643, 2018 | 16 | 2018 |
| Simulating New York city hospital load balancing during COVID-19 EL de Larrea, H Lam, E Sanabria, J Sethuraman, S Mohammadi, A Olivier, ... 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 8 | 2021 |
| Data analytics for improved closest hospital suggestion for EMS operations in New York City A Olivier, M Adams, S Mohammadi, A Smyth, K Thomson, T Kepler, ... Sustainable Cities and Society 86, 104104, 2022 | 7 | 2022 |
| UQpy v4. 1: Uncertainty Quantification with Python D Tsapetis, MD Shields, DG Giovanis, A Olivier, L Novak, P Chakroborty, ... SoftwareX 24, 2023 | 6 | 2023 |
| Trade offs between statistical agreement and data reproduction in the generation of synthetic ground motions A Olivier, AW Smyth Probabilistic Engineering Mechanics 43, 36-49, 2016 | 5 | 2016 |
| Bayesian neural networks with physics‐aware regularization for probabilistic travel time modeling A Olivier, S Mohammadi, AW Smyth, M Adams Computer‐Aided Civil and Infrastructure Engineering 38 (18), 2614-2631, 2023 | 4 | 2023 |
| Probabilistic Prediction of Trip Travel Time and Its Variability Using Hierarchical Bayesian Learning S Mohammadi, A Olivier, A Smyth ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2023 | 3 | 2023 |
| Enhancements of online Bayesian filtering algorithms for efficient monitoring and improved uncertainty quantification in complex nonlinear dynamical systems A Olivier Columbia University, 2017 | 2 | 2017 |
| Hospital Load Balancing: A Data-Driven Approach to Optimize Ambulance Transports During the COVID-19 Pandemic in New York City E Dolan, N Johnson, T Kepler, H Lam, E Lelo de Larrea, S Mohammadi, ... Available at SSRN 4094485, 2022 | 1 | 2022 |
| Short-term adaptive emergency call volume prediction E Sanabria, H Lam, EL de Larrea, J Sethuraman, S Mohammadi, A Olivier, ... 2021 Winter Simulation Conference (WSC), 1-12, 2021 | | 2021 |
Andrew SmythProfessor of Civil Engineering and Engineering Mechanics, Columbia UniversityVerified email at civil.columbia.edu
