AI research for climate change and environmental sustainability - Lecture 3 | Vidéo | Carmin.tv

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AI research for climate change and environmental sustainability - Lecture 3

By Claire Monteleoni

Appears in collection : CEMRACS 2026 : Modeling and AI for Environmental Transition / Centre d'Eté Mathématique de Recherche Avancée en Calcul Scientifique

Summer school lectures on AI research for climate change and environmental sustainability. Primary machine learning topics covered: self-supervised learning, generative deep learning, learning from multi-source data. Primary applications covered: data downscaling, cross-sensor harmonization.

Information about the video

Date of recording 17/07/2026
Date of publication 03/08/2026
Institution CIRM
Licence CC BY NC ND
Language English
Audience Researchers, Graduate Students
Director(s) Guillaume Hennenfent
Format MP4

Citation data

DOI 10.24350/CIRM.V.20517703
Cite this video Monteleoni, Claire (17/07/2026). AI research for climate change and environmental sustainability - Lecture 3. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.20517703
URL https://dx.doi.org/10.24350/CIRM.V.20517703

Domain(s)

Machine Learning

Bibliography

COUAIRON, Guillaume, SINGH, Renu, CHARANTONIS, Anastase, et al. ArchesWeatherGen: Skillful and compute-efficient probabilistic weather forecasting with machine learning. Science Advances, 2026, vol. 12, no 17, p. eadx2372. - https://doi.org/10.1126/sciadv.adx2372
KEISLER, Julie, OUESLATI, Boutheina, CHARANTONIS, Anastase, et al. Generative Unsupervised Downscaling of Climate Models via Domain Alignment: Application to Wind Fields. 2026. - https://cnrs.hal.science/hal-05491335/
KEISLER, Julie, CHARANTONIS, Anastase Alexandre, GOUDE, Yannig, et al. Serpentflow: Generative unpaired domain alignment via shared-structure decomposition. arXiv preprint arXiv:2601.01979, 2026. - https://doi.org/10.48550/arXiv.2601.01979
CLYNE, Graham, KALTENBORN, Julia, NOWACK, Peer, et al. Emulating the Forced Response of Climate Models with Flow Matching. arXiv preprint arXiv:2605.16929, 2026. - https://doi.org/10.48550/arXiv.2605.16929

MSC codes

Document(s)

https://www.dropbox.com/scl/fi/ijlcbjv3ajrm1m0dwb8z1/summerSchool26CEMRACSDay2_CM.pdf?rlkey=51m1voal8k9aycc3m9zy210a5&dl=0

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