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working_groups:computational_earth_sciences:ai4es:journal_club [2020/12/18 17:20]
cgome1
working_groups:computational_earth_sciences:ai4es:journal_club [2021/03/17 11:44]
cgome1
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   * critique    * critique 
  
-For those sessions with an invited speakers, we will make sure to add below the corresponding slides. +For those sessions with invited speakers, we will make sure to add below the corresponding slides. 
  
 ==== Sessions ==== ==== Sessions ====
-  * 2020-12-16 **Davide Faranda** (University of Paris-Saclay): //"Boosting performance in machine learning of geophysical flows via scale separation"// ([[https://doi.org/10.5194/npg-2020-39]]) 
-    * {{ :working_groups:computational_earth_sciences:ai4es:ai4es_journalclub_slides_16122020.pdf|Slides}} of the session 
- 
-  * 2020-11-25 **Chris Kadow** (DKRZ): //"AI image inpainting technology re-fills missing values in HadCRUT4 - a research journey"// (https://doi.org/10.1038/s41561-020-0582-5)  
-    *  {{ :working_groups:computational_earth_sciences:ai4es:kadow_bsc-seminar_20201125.pptx |Slides}} of the session 
  
   * 2020-10-14 **Lluís Palma García**: //"Improving subseasonal forecasting in the western U.S. With machine learning"// ([[https://arxiv.org/abs/1809.07394|Arxiv]]) // "Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances" // ([[https://arxiv.org/abs/2006.07972|Arxiv]])   * 2020-10-14 **Lluís Palma García**: //"Improving subseasonal forecasting in the western U.S. With machine learning"// ([[https://arxiv.org/abs/1809.07394|Arxiv]]) // "Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances" // ([[https://arxiv.org/abs/2006.07972|Arxiv]])
working_groups/computational_earth_sciences/ai4es/journal_club.txt · Last modified: 2021/04/14 15:17 by llledo