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2020 – today
- 2024
[i4]Mauricio Lima, Katherine Deck, Oliver R. A. Dunbar, Tapio Schneider:
Toward Routing River Water in Land Surface Models with Recurrent Neural Networks. CoRR abs/2404.14212 (2024)- [i3]Oliver R. A. Dunbar, Nicholas H. Nelsen, Maya Mutic:
Hyperparameter Optimization for Randomized Algorithms: A Case Study for Random Features. CoRR abs/2407.00584 (2024) - 2022
- [j4]Oliver R. A. Dunbar
, Ignacio Lopez-Gomez, Alfredo Garbuno-Iñigo, Daniel Zhengyu Huang, Eviatar Bach, Jinlong Wu:
EnsembleKalmanProcesses.jl: Derivative-free ensemble-based model calibration. J. Open Source Softw. 7(80): 4869 (2022) - [j3]Tapio Schneider, Oliver R. A. Dunbar, Jinlong Wu, Lucas Böttcher, Dmitry Burov, Alfredo Garbuno-Inigo, Gregory LeClaire Wagner, Sen Pei, Chiara Daraio, Raffaele Ferrari, Jeffrey Shaman:
Epidemic management and control through risk-dependent individual contact interventions. PLoS Comput. Biol. 18(6) (2022) - [j2]Oliver R. A. Dunbar, Andrew B. Duncan, Andrew M. Stuart, Marie-Therese Wolfram:
Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods. SIAM J. Appl. Dyn. Syst. 21(2): 1539-1572 (2022) - [i2]Oliver R. A. Dunbar, Charles M. Elliott, Lisa Maria Kreusser:
Models for information propagation on graphs. CoRR abs/2201.07577 (2022) - 2021
- [i1]Tapio Schneider, Oliver R. A. Dunbar, Jinlong Wu, Lucas Böttcher, Dmitry Burov, Alfredo Garbuno-Iñigo, Gregory LeClaire Wagner, Sen Pei, Chiara Daraio, Raffaele Ferrari, Jeffrey Shaman:
Epidemic Management and Control Through Risk-Dependent Individual Contact Interventions. CoRR abs/2109.10970 (2021) - 2020
- [j1]Oliver R. A. Dunbar, Matthew M. Dunlop, Charles M. Elliott, Viet Ha Hoang, Andrew M. Stuart:
Reconciling Bayesian and Perimeter Regularization for Binary Inversion. SIAM J. Sci. Comput. 42(4): A1984-A2013 (2020)
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