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Dive into the research topics where Tobias Finn is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
- 13 Article
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A probabilistic approach to wildfire spread prediction using a denoising diffusion surrogate model
Yu, W., Ghosh, A., Finn, T. S., Arcucci, R., Bocquet, M. & Cheng, S., 30 Jan 2026, In: Geoscientific Model Development. 19, 2, p. 1027-1054 28 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Four-dimensional variational data assimilation with a sea-ice thickness emulator
Durand, C., Finn, T. S., Farchi, A., Bocquet, M., Brajard, J. & Bertino, L., 12 Nov 2025, In: Cryosphere. 19, 11, p. 5613-5637 25 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Latent Diffusion and Spatio-Temporal Transformers Generate Large Ensemble Climate Simulations
Meuer, J., Witte, M., Finn, T. S., Timmreck, C., Ludwig, T. & Kadow, C., 1 Jan 2025, (Accepted/In press) In: IEEE Transactions on Artificial Intelligence.Research output: Contribution to journal › Article › peer-review
Open Access -
Machine learning for modelling unstructured grid data in computational physics: A review
Cheng, S., Bocquet, M., Ding, W., Finn, T. S., Fu, R., Fu, J., Guo, Y., Johnson, E., Li, S., Liu, C., Moro, E. N., Pan, J., Piggott, M., Quilodran, C., Sharma, P., Wang, K., Xiao, D., Xue, X., Zeng, Y. & Zhang, M. & 3 others, , 1 Nov 2025, In: Information Fusion. 123, 103255.Research output: Contribution to journal › Article › peer-review
Open Access -
Accurate deep learning-based filtering for chaotic dynamics by identifying instabilities without an ensemble
Bocquet, M., Farchi, A., Finn, T. S., Durand, C., Cheng, S., Chen, Y., Pasmans, I. & Carrassi, A., 1 Sept 2024, In: Chaos. 34, 9, 091104.Research output: Contribution to journal › Article › peer-review
Open Access -
Data-driven surrogate modeling of high-resolution sea-ice thickness in the Arctic
Durand, C., Finn, T. S., Farchi, A., Bocquet, M., Boutin, G. & Ólason, E., 18 Apr 2024, In: Cryosphere. 18, 4, p. 1791-1815 25 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Generative Diffusion for Regional Surrogate Models From Sea-Ice Simulations
Finn, T. S., Durand, C., Farchi, A., Bocquet, M., Rampal, P. & Carrassi, A., 1 Oct 2024, In: Journal of Advances in Modeling Earth Systems. 16, 10, e2024MS004395.Research output: Contribution to journal › Article › peer-review
Open Access -
Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology
Chen, Y., Smith, P., Carrassi, A., Pasmans, I., Bertino, L., Bocquet, M., Finn, T. S., Rampal, P. & Dansereau, V., 14 May 2024, In: Cryosphere. 18, 5, p. 2381-2406 26 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Representation learning with unconditional denoising diffusion models for dynamical systems
Finn, T. S., Disson, L., Farchi, A., Bocquet, M. & Durand, C., 19 Sept 2024, In: Nonlinear Processes in Geophysics. 31, 3, p. 409-431 23 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Assessing the weather conditions for urban cyclists by spatially dense measurements with an agent-based approach
Schmitt, A. U., Burgemeister, F., Dorff, H., Finn, T., Hansen, A., Kirsch, B., Lange, I., Radtke, J. & Ament, F., 1 Nov 2023, In: Meteorological Applications. 30, 6, e2164.Research output: Contribution to journal › Article › peer-review
Open Access