Nesterov acceleration for ensemble Kalman inversion and variants
Vernon, S., Bach, E., Dunbar, O.R.A., 2025: Nesterov acceleration for ensemble Kalman inversion and variants. Journal of Computational Physics, 535, 114063. [PDF] [Official version]
Vernon, S., Bach, E., Dunbar, O.R.A., 2025: Nesterov acceleration for ensemble Kalman inversion and variants. Journal of Computational Physics, 535, 114063. [PDF] [Official version]
Lopez-Gomez, I., Wan, Z.Y., Zepeda-Núñez, L., Schneider, T., Anderson, J., Sha, F., 2025: Dynamical-generative downscaling of climate model ensembles. Proceedings of the National Academy of
Khapikova, P., Schneider, T., 2025: An energetic framework for understanding Hadley circulation width variations: seasonal cycle, ENSO, and global warming. Journal of Atmospheric Sciences, 82, 2569–2580. [Download
Dunbar, O.R.A., Nelsen, N.H., Mutic, M., 2025: Hyperparameter optimization for randomized algorithms: A case study on random features. Statistics and Computing, 35, 56. [PDF] [Official
Eusebi, R., Su, H., Wu, L., Rong, P., Balaguru, K., Leung, R., Choi, Y-S., Chan, P.K., Gan, J., DeMaria, M., 2025: Improving tropical cyclone rapid
Dunbar, O.R.A., Elliott, C.M., Kreusser, L.M., 2025: Models for information propagation on graphs. European Journal of Applied Mathematics, 2025, 1-22. [PDF] [Official version]
Giorgini, L.T., Deck, K., Bischoff, T., Souza, A., 2024: Response theory via generative score modeling. Physical Review Letters, 133, 267302. [PDF] [Official version]
Patel, R.N., Bonan, D.B., Schneider, T., 2024: Changes in the frequency of observed temperature extremes largely driven by a distribution shift. Geophysical Research Letters, 51,
Christopoulos, C., Lopez-Gomez, I., Beucler, T., Cohen, Y., Kawczynski, C., Dunbar, O.R.A., Schneider, T., 2024: Online learning of entrainment closures in a hybrid machine learning
Liu, Z., Franzke, C.L.E., Novak, L., Tailleux, R., Lembo, V., 2024: A systematic local view of the long-term changes of the atmospheric energy cycle. Journal