| Calibration and uncertainty quantification of convective parameters in an idealized GCM ORA Dunbar, A Garbuno‐Inigo, T Schneider, AM Stuart Journal of Advances in Modeling Earth Systems 13 (9), e2020MS002454, 2021 | 59 | 2021 |
| Training physics‐based machine‐learning parameterizations with gradient‐free ensemble Kalman methods I Lopez‐Gomez, C Christopoulos, HL Langeland Ervik, ORA Dunbar, ... Journal of Advances in Modeling Earth Systems 14 (8), e2022MS003105, 2022 | 32 | 2022 |
| Ensemble inference methods for models with noisy and expensive likelihoods ORA Dunbar, AB Duncan, AM Stuart, MT Wolfram SIAM Journal on Applied Dynamical Systems 21 (2), 1539-1572, 2022 | 28 | 2022 |
| Parameter uncertainty quantification in an idealized GCM with a seasonal cycle MF Howland, ORA Dunbar, T Schneider Journal of Advances in Modeling Earth Systems 14 (3), e2021MS002735, 2022 | 20 | 2022 |
| Epidemic management and control through risk-dependent individual contact interventions T Schneider, ORA Dunbar, J Wu, L Böttcher, D Burov, A Garbuno-Inigo, ... PLOS Computational Biology 18 (6), e1010171, 2022 | 17 | 2022 |
| Phase field modelling of surfactants in multi-phase flow ORA Dunbar, KF Lam, B Stinner Interfaces and Free Boundaries 21 (4), 495-547, 2019 | 14 | 2019 |
| Ensemble‐based experimental design for targeting data acquisition to inform climate models ORA Dunbar, MF Howland, T Schneider, AM Stuart Journal of Advances in Modeling Earth Systems 14 (9), e2022MS002997, 2022 | 11 | 2022 |
| An Efficient Bayesian Approach to Learning Droplet Collision Kernels: Proof of Concept Using “Cloudy,” a New n‐Moment Bulk Microphysics Scheme M Bieli, ORA Dunbar, EK De Jong, A Jaruga, T Schneider, T Bischoff Journal of Advances in Modeling Earth Systems 14 (8), e2022MS002994, 2022 | 11 | 2022 |
| Method and system for managing epidemics through bayesian learning on contact networks T Schneider, C Daraio, OR Dunbar US Patent App. 17/445,426, 2022 | 6 | 2022 |
| Reconciling Bayesian and perimeter regularization for binary inversion ORA Dunbar, MM Dunlop, CM Elliott, VH Hoang, AM Stuart SIAM Journal on Scientific Computing 42 (4), A1984-A2013, 2020 | 3 | 2020 |
| Binary recovery via phase field regularization for first-arrival traveltime tomography ORA Dunbar, CM Elliott Inverse Problems 35 (9), 095004, 2019 | 3 | 2019 |
| Hyperparameter optimization for randomized algorithms: a case study for random features ORA Dunbar, NH Nelsen, M Mutic arXiv preprint arXiv:2407.00584, 2024 | 2 | 2024 |
| Ensemble-based experimental design for targeted high-resolution simulations to inform climate models O Dunbar, MF Howland, T Schneider, A Stuart Authorea Preprints, 2022 | 2 | 2022 |
| Models for information propagation on graphs ORA Dunbar, CM Elliott, LM Kreusser arXiv preprint arXiv:2201.07577, 2022 | 2 | 2022 |
| Online Learning of Entrainment Closures in a Hybrid Machine Learning Parameterization C Christopoulos, I Lopez-Gomez, T Beucler, Y Cohen, C Kawczynski, ... Authorea Preprints, 2024 | 1 | 2024 |
| Toward Routing River Water in Land Surface Models with Recurrent Neural Networks M Lima, K Deck, ORA Dunbar, T Schneider arXiv preprint arXiv:2404.14212, 2024 | 1 | 2024 |
| Online learning of eddy-viscosity and backscattering closures for geophysical turbulence using ensemble Kalman inversion Y Guan, P Hassanzadeh, T Schneider, O Dunbar, DZ Huang, J Wu, ... arXiv preprint arXiv:2409.04985, 2024 | | 2024 |
| High‐dimensional covariance estimation from a small number of samples D Vishny, M Morzfeld, K Gwirtz, E Bach, ORA Dunbar, D Hodyss Journal of Advances in Modeling Earth Systems 16 (9), e2024MS004417, 2024 | | 2024 |
| High-Dimensional Covariance Estimation From a Small Number of Samples M Morzfeld, DN Vishny, K Gwirtz, E Bach, O Dunbar, D Hodyss Authorea Preprints, 2024 | | 2024 |
| Generalizability of Turbulent Surface Fluxes for ESMs L Novak, A Sridhar, W Duan, O Dunbar, G Decker, T Schneider AGU Fall Meeting Abstracts 2023 (2966), A43O-2966, 2023 | | 2023 |
