Segui
Oliver R. A. Dunbar
Titolo
Citata da
Citata da
Anno
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
672021
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
452022
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
312022
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
222022
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
202022
Phase field modelling of surfactants in multi-phase flow
ORA Dunbar, KF Lam, B Stinner
Interfaces and Free Boundaries 21 (4), 495-547, 2019
142019
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
122022
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
112022
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
62022
Hyperparameter optimization for randomized algorithms: A case study for random features
ORA Dunbar, NH Nelsen, M Mutic
arXiv preprint arXiv:2407.00584, 2024
42024
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
32024
Models for information propagation on graphs
ORA Dunbar, CM Elliott, LM Kreusser
arXiv preprint arXiv:2201.07577, 2022
32022
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
32020
Binary recovery via phase field regularization for first-arrival traveltime tomography
ORA Dunbar, CM Elliott
Inverse Problems 35 (9), 095004, 2019
32019
Online learning of entrainment closures in a hybrid machine learning parameterization
C Christopoulos, I Lopez‐Gomez, T Beucler, Y Cohen, C Kawczynski, ...
Journal of Advances in Modeling Earth Systems 16 (11), e2024MS004485, 2024
22024
Ensemble-based experimental design for targeted high-resolution simulations to inform climate models
O Dunbar, MF Howland, T Schneider, A Stuart
Authorea Preprints, 2022
22022
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
12024
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
12024
Nesterov Acceleration for Ensemble Kalman Inversion and Variants
S Vernon, E Bach, ORA Dunbar
arXiv preprint arXiv:2501.08779, 2025
2025
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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20