Research output per year
Research output per year
Personal profile
Fields of Science
- 113 Computer and information sciences
- 112 Statistics and probability
- Machine learning
- Bayesian inference
International and National Collaboration
Publications and projects within past five years.
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An ocean model sea ice budget sensitivity in the Southern Ocean
Uotila, P., Nie, Y., Cheng, B., Vancoppenolle, M., Boeira Dias, F., Lv, X. & Li, C., 9 Nov 2023. 1 p.Research output: Conference materials › Abstract
Open Access -
Fast post-process Bayesian inference with Sparse Variational Bayesian Monte Carlo
Li, C., Clarté, G. & Acerbi, L., 9 Mar 2023.Research output: Working paper › Preprint
Open AccessFile -
PyVBMC: Efficient Bayesian inference in Python
Huggins, B., Li, C., Tobaben, M., Aarnos, M. J. & Acerbi, L., 21 Jun 2023, In: Journal of open source software. 8, 86Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Sensitivity of NEMO4.0-SI3 model parameters on sea ice budgets in the Southern Ocean
Nie, Y., Li, C., Vancoppenolle, M., Cheng, B., Boeira Dias, F., Lv, X. & Uotila, P., 2 Mar 2023, In: Geoscientific Model Development. 16, 4, p. 1395-1425 31 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Sensitivity of the Southern Ocean sea-ice budget to sea-ice model parameters
Uotila, P., Nie, Y., Li, C., Vancoppenolle, M., Cheng, B., Boeira Dias, F. & Lv, X., 15 Jul 2023. 1 p.Research output: Conference materials › Paper
Open Access
Projects
- 1 Active
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Extreme sample efficiency in Bayesian inference (BayesXtreme)
Acerbi, L. (Project manager), Li, H. (Participant), Li, C. (Participant) & Silvestrin, F. (Participant)
01/01/2024 → 31/12/2026
Project: Research Council of Finland: Targeted Academy Project