Lily-belle Sweet
@lilybellesweet
PhD student @ufz_de @tudresden_de - interested in explainable, generalisable and causal ml for agriculture and food security 🌾 @lilybellesweet.bsky.social
Can we learn from the recent past to predict future climate change impacts using machine learning? We have created a new benchmark dataset designed to help answer this question, and you can take part in the challenge: kaggle.com/competitions/t…
Machine Learning for Agricultural Research (AgML) workshop Leipzig, Germany | November 3-5, 2025 Registration Required for Attendance – Free of Charge! Both virtual and in-person attendance are free, but you must register to participate. The deadline for in-person registration…
thetimes.com/uk/environment… Finally, I’m in the papers, and not for doing something dodgy! (Yes probably paywalled, but one small glance at my feed will show you the issue) I cannot believe my 15 seconds of fame is me trying to tell the government that ‘rock is not peat’!
Wow, this is totally unexpected. I am completely surprised.
2018: Saliency maps give plausible interpretations of random weights, triggering skepticism and catalyzing the mechinterp cultural movement, which now advocates for SAEs. 2025: SAEs give plausible interpretations of random weights, triggering skepticism and ...
In @NatureClimate, we show that a year above 1.5 °C signals that Earth is most probably within the 20-year period that will reach the Paris Agreement limit. nature.com/articles/s4155…
Register for our 1-day text as data workshop here in Leipzig next year: Apply until 01.02.2025 docs.google.com/forms/d/e/1FAI…
Next year, we are organizing the second edition of the #textasdata workshop in hydrology, natural hazards, and climate change research. Looking forward to discussing ways to collaborate with others! 📅 28.03.2025 📍 Leipzig Kubus 🗓️ Apply by 01.02.2025
Congratulations to Mariana Madruga de Brito (@m_de_Brito) for being awarded an Arne Richter Award for Outstanding Early Career Scientists. Read more: egu.eu/03WXE5/
🌳On Wednesday, the 3rd annual Topic Area Meeting of the Earth and Environmental Sciences @ScaDS_AI took place. With great success! 🌍Throughout the day, more than 30 participants discussed their research across environmental sensor types, scales and ML architectures. #AppliedAI
Recent article! Identifying compound weather drivers of forest biomass loss with generative deep learning 👉bit.ly/486v1Ke 🌲🔍GenerativeAI meets forest biomass loss! Researchers here are using a modified variational autoencoder to tackle forest biomass loss. This AI…
End of the 3rd XAIDA GA in #Leipzig Such intense days to discuss about #AI & #Climateextremes 🙏@ZscheischlerJak and @DimCoumou & Manon Rousselle for the organisation 👏 50 participants in person/online📍 @UFZ_de @isp_uv_es @erichfischer @VU_IVM @Bevacqua_E @khalilteber
Reminder: 5 postdoc positions in Machine Learning & Earth/Climate Sciences are available with Prof. Gustau Camps-Valls @isp_uv_es 🌍🤖. 🗓️ Apply by: Sept 6, 2024 🎯 Interview period: Sep 10-20, 2024 Apply here: docs.google.com/forms/d/e/1FAI…
Only two more days to enter our hackathon to explore if ML can be used for projections of climate change impacts to agriculture! Train your model on data from 1980-2020, then predict up to 2100: kaggle.com/competitions/t…
Apply now for the 3rd Como Training School on Compound Events! 🗓️ Dates: Sept 24 - Oct 4, 2024 📝 Deadline for applications: Aug 25, 2024 📖 Learn more on our blog compoundevents.org/blog/3rd-como-… 🔗Further info: tinyurl.com/ComoSchool24
We are looking for a postdoc to work on scientific foundation models! If you are excited about multi-modal #LLM #AI4Science, #Physics-Guided #DeepLearning pls reach out. Appreciate any repost! roseyu.com/postdoc.html
We're entering the last day of the AI for Learning Weather & Climate workshop. Jonathan Wider is bringing us the talk "Validating Deep-Learning Weather Forecast Models on High-Impact Extreme Events." Interested? More info on the workshop's website: sites.google.com/view/ai4climat….
On the way to #ICML2024? Procrastinate on preparing your slides and enter our Kaggle competition instead 👼 Help us figure out if we can use ML to create projections of future climate change impacts!
Can we learn from the recent past to predict future climate change impacts using machine learning? We have created a new benchmark dataset designed to help answer this question, and you can take part in the challenge: kaggle.com/competitions/t…