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

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

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5 videos

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6 videos

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CIMPA-CIRM Fellowships « Research in Residence » Introduction to Dissipative Dynamical Systems in Infinite Dimensions and Their Applications
1 videos

CIMPA-CIRM Fellowships « Research in Residence » Introduction to Dissipative Dynamical Systems in Infinite Dimensions and Their Applications

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

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

Organizer(s) Fischer, Aurélie ; Gruet, Pierre ; Kobeissi, Ziad ; Lopez, Olivier ; Tankov, Peter ; Vermandel, Gauthier ; Zerbib, Olivier David
Date(s) 13/07/2026 - 17/07/2026
linked URL https://conferences.cirm-math.fr/3643.html
00:00:00 / 00:00:00
13 19

AI research for climate change and environmental sustainability - Lecture 2

By Claire Monteleoni

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.

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Citation data

  • DOI 10.24350/CIRM.V.20517603
  • Cite this video Monteleoni, Claire (16/07/2026). AI research for climate change and environmental sustainability - Lecture 2. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.20517603
  • URL https://dx.doi.org/10.24350/CIRM.V.20517603

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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

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