🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

📢 Check out our #hybrid #deep learning model for #drought monitoring by mengxue Miguel-Ángel Fernández-Torres Multi-branch #VAEs blend indices, domain knowledge & climate variables to boost #extrapolation across space & time! shorturl.at/C94oS Xaida Project USMILE ERC Synergy Grant

Congratulations on your first PhD paper, @HappeTamara! Glad to have had the opportunity to do research with you. I think we achieved very interesting results when clustering #heatwaves based on their dynamics, a great basis for further research using #deeplearning and #xAI

🆕Paper | Detecting spatio-temporal dynamics of western European heatwaves using deep learning 📰Art. Intel. for the Earth System American Meteorological Society 👏 @HappeTamara J.S. Wijnands, Miguel-Ángel Fernández-Torres, P. Scussolini LauraMuntjewerf & Dim Coumou 🔎doi.org/10.1175/AIES-D… IVM - VU Amsterdam KNMI

🚨 Flash Flood Map of #Valencia 🌊 We developed new maps using satellite data and machine learning to show the full impact of recent floods. #EO and #AI for disaster response. isp.uv.es/ml4floods-isp #ValenciaFloods #EarthObservation #DANA

I'll be hiring PhD and MSc students for Fall 2025 to do research on machine learning for science (details in 🧵) I especially encourage applicants from under-represented groups and regions in conflict (Palestine, Ukraine, Sudan, Myanmar...) See 🧵 for how to apply.

🌍 New paper: Generative networks for spatio-temporal #gap_filling of #Sentinel2 reflectances European Space Agency. 🆓 Free access the first 50 days to the #ISPRS paper Elsevier: isp-uv.short.gy/GapFillingSent… Work developed in the context of Xaida Project. #AI #EarthObservation

Fraunhofer HHI researchers and international experts published a new paper in Nature Geoscience 🌍 To promote the use of #XAI in the #Geosciences, they surveyed researchers and offer 4 actionable recommendations to advance its use. 👉 nature.com/articles/s4156…

Comment: Explainability can foster trust in the use of AI in geoscience ECMWF AI Fraunhofer HHI nature.com/articles/s4156…

🆕 Paper| 'Generative networks for spatio-temporal gap filling of Sentinel-2 reflectances' by Maria Gonzalez Miguel-Ángel Fernández-Torres & G. Camps-Valls 👏 📰 in ISPRS Journal of Photogrammetry and Remote Sensing 🔎 doi.org/10.1016/j.ispr… ISP • Image and Signal Processing CINEA 🇪🇺

Today and every day, we celebrate the incredible achievements of women in science who push the boundaries of knowledge, inspire change, and pave the way for future generations. Your contributions shape our world. 🌍💡 #WomenInScience #STEMWomen #Inspiration

🚨 Call for a POSTDOC in machine learning for drug discovery at Université de Montréal 💊 The position will be part of a large collaboration with Brun Lab Audrey Durand Dominique Beaini Anne Marinier IRIC Mila - Institut québécois d'IA. All details here: brunlab.com/jobs/open-posi… Please RT 💜

🚨 New paper out in Nature Communications We review how #AI is transforming modeling & understanding extreme weather & climate events like floods, heatwaves, and wildfires📷 🔗Read it! isp-uv.short.gy/AIforExtremeEv…

Submit your latest work (papers, demos) in #XAI to the 4th Explainable AI for Computer Vision (XAI4CV) Workshop at #CVPR2025! The deadline for the Proceedings Track is March 10, 2025 Details: xai4cv.github.io/workshop_cvpr25 Submission Site: cmt3.research.microsoft.com/XAI4CV2025 #CVPR2025 Explainable AI

The deadline for submissions to the proceedings track has been extended by three days, to March 13, 2025, 17:00 PT! #CVPR2025 #CVPR2025

💡Interested in AI for Earth sciences? By AI we mean diffusion and foundation models, hybrid & causal ML, as well as Koopman operators & equation discovery too! 👩‍🎓📜 Several PhD & Postdoc positions available in València! 🌞 🗓️Extended deadline: May 9th 2025

🆕📰 New paper out that studies the #Calibration and the #Uncertainty of Deep Learning Models (DLM) for #Drought. ➡️ "Calibration and uncertainty quantification for deep learning-based drought detection" (mengxue Kai-Hendrik Cohrs Miguel-Ángel Fernández-Torres) 🔗 tr.ee/CalibrationAnd…

We are thrilled to welcome an incredible lineup of invited speakers to the 4th Explainable AI for Computer Vision (XAI4CV) Workshop, held as part of #CVPR2025—which kicks off next week, from Wednesday, June 11th to Sunday, June 15th in Nashville, TN!

Join us for our #CVPR2025 workshop on Explainable AI for Computer Vision starting now in Room 107B!