Vitus Benson
@vitusbenson
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(machine) learning @MPI_BGC. ✨
Joined July 2010
Call for abstracts: #EGU25 Session on Early Warning Systems! Submit until Jan 15: https://t.co/ZVKa8CAeWH w/ @Reichstein_BGC, @ShrutiNath18, @CarinaFearnley & Dorothea Frank
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#EGU2025 : You can still submit your abstracts to the EGU session on "Novel Approaches for Early Warning Systems: from AI to trans-disciplinary approaches" here: https://t.co/V8xO98wwef.
@Reichstein_BGC @vitusbenson @CarinaFearnley Shruti Nath and Dorothe Frank
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Consider submitting to our EGU25 Session AS5.6 Machine Learning for Carbon Cycle Research! Deadline Jan 15th - you know the drill 😉
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Opened photoshop for the first time in a while - what do you all think of our EGU ad? 😌 (also, if you work on early warning, please consider submitting!)
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Join us for the 1st AI4Carbon virtual workshop! 🥳 Next week Nov 7th we are discussing ML for atmospheric transport and inverse modeling (CO2, CH4,...) - with a brilliant set of speakers! Our goal is towards a community effort "AI x TransCom" >> https://t.co/muvQMFjFch
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Super excited for this! Today at 10:30am CEST we are having an interactive session on AI for Anticipatory Humanitarian Action as part of the #GlobalDP - it will be fully hybrid, so please join online if it interests you!
Join us at the 12th Global Dialogue Platform, either in person or online, for a session on the use of #AI in anticipatory action (#AA)! Our contributions to the #GDP24: https://t.co/6845ZAyP4m
@Welthungerhilfe @MPI_BGC @Ellis_Unit_Jena @CLEARGlobalOrg @deltares
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@Reichstein_BGC @FannyYangETH @Ana__Bastos @MPI_BGC @Ellis_Unit_Jena Apologies for the late twitter post, i was off hiking in Nepal right after submitting the paper 😉
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@Reichstein_BGC @FannyYangETH @Ana__Bastos @MPI_BGC @Ellis_Unit_Jena Find the full manuscript on ArXiv:
arxiv.org
Accurately describing the distribution of CO$_2$ in the atmosphere with atmospheric tracer transport models is essential for greenhouse gas monitoring and verification support systems to aid...
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This work has benefitted from amazing supervision by @Reichstein_BGC , @FannyYangETH , @Ana__Bastos , Alex J. Winkler and Christian Reimers and the fantastic research environment at @MPI_BGC @Ellis_Unit_Jena
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We compare GraphCast, UNet, SFNO and SwinTransformer. We achieve stable and mass-conserving transport for forward runs of multiple months!
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New preprint on atmospheric transport modeling! 🥳 We use neural networks to predict how CO2 distributes through the atmosphere 🌬️🪩
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Excited to announce that the second edition of the ETH AI + Environment Summit, an ELIAS-funded initiative, will take place on October 2nd at our partner's venue, the Innovation Park Zurich. 🌳🤖🌍🛰️🌊👩💻 Register at https://t.co/edTiXarMWR
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Wir haben im Osten wieder Weimar. Die Ähnlichkeiten sind verblüffend. Wenige werden sich damit beschäftigt haben. Ich weiß noch aus Erzählungen meiner Großeltern, wie es kam. Ein Satz blieb mir im Gedächtnis: "Die Leute wären mit dem Teufel gegangen." Sind sie auch. Ein 🧵1/
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Excited to be at #ICML2024 to present on Thurs morning (11:30am, Hall C4-9, Poster 2217) our work on FRAPPÉ, a generic procedure for turning any multi-task objective into a modular bilevel optimization problem, with implications for fairness, alignment, or multi-domain learning.
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I surely don‘t like my face on advertisements, but make sure to join the Early Warning workshop at the summit, super looking forward to discuss how machine learning can be useful towards achieve the UN’s goal on EarlyWarnings4All 🌍✨
On the @AIforGood Global Summit, @vitusbenson will discuss “Geospatial vegetation forecasting for anticipatory action” 10:15-10:40 AM on May 31 ☀️ Register here ➡️ https://t.co/zniEMbuSmb
#EarthNet #EarlyWarningSystems
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Checkout this super timely workshop around machine learning for earth system modeling, happening at ICML in July!! 😊
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