Basil Kraft
@BasilKraft
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Postdoc at MPI for Biogeochemistry in Jena & interested in deep learning, environmental modeling, hybrid modeling
Jena, Germany
Joined January 2020
RT @Jacobnelson18: FLUXCOM is hiring! As we work with remote sensing data, machine learning models, and ecosystem understanding, we're happ….
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I'm excited to be part of the convener team for the next year's "Deep Learning in Hydrology" session at #EGU23. Hope to see many interesting submissions!.
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RT @random_walker: There’s a reproducibility crisis brewing in almost every scientific field that has adopted machine learning. On July 28,….
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Our paper on combining neural nets and hydrological modeling is out. We used RNNs to estimate time-varying coefficients of a hydrol. module, resulting in a data-driven yet physically consistent model @Reichstein_BGC @SujanKoiralaNP M. Jung & M. Körner.
hess.copernicus.org
Abstract. State-of-the-art global hydrological models (GHMs) exhibit large uncertainties in hydrological simulations due to the complexity, diversity, and heterogeneity of the land surface and...
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RT @devistuia: Job opportunity! Come work with me and @b_kellenb at @EPFL_en in beautiful Sion and study how to map species and their inter….
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RT @isp_uv_es: Yes! . We're welcoming theory & applications of #MachineLearning in #climate: from #XAI & #hybridML to #causality in the wil….
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We offer a PhD position at @MPI_BGC in collaboration with @TU_Muenchen on hybrid modeling (combining deep learning and physical modeling) of the coupled carbon-water cycles. The call is open until the end of September. Please share!.
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Thanks for having me as a guest on your team @devistuia et al.! My first impressions: very friendly and nice people, and great mountains!.
Happy birthday to the ECEO lab! One year already passed and we are more motivated than ever! As a present, today we welcome @MarcCoru and @BasilKraft to the team and have the best weather ever in Sion! @epflENAC @EPFL_Imaging @EPFL_en
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RT @Reichstein_BGC: Just realize that our book "Deep Learning for the Earth Sciences" by Gustau Camps-Valls @isp_uv_es., @devistuia, @xiaox….
onlinelibrary.wiley.com
DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern...
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At the @MPI_BGC, we are looking for a PhD researcher to model #FLUXNET ecosystem-atmosphere fluxes using #deeplearning and heterogeneous Earth observation data. The call is open until August 23.
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RT @GregDuveiller: Remote Sensing Job Alert: 🚨🌍🛰️🖥️. At the @MPI_BGC, we are looking for a someone to help us bring in the #Copernicus #Sen….
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RT @PyTorchLightnin: Read @Teddykoker’s #blog on #DataLoaders Explained: Building a Multi-Process Data Loader from Scratch. ⭐️Bonus⭐️. Y….
teddykoker.com
When training a Deep Learning model, one must often read and pre-process data before it can be passed through the model. Depending on the data source and transformations needed, this step can amount...
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We combined #NeuralNetworks and process modeling to learn global #water cycle variations. This is a first step toward #hybrid modeling of large-scale #environmental systems. @isprs paper in colab with M. Jung, M. Körner, and @Reichstein_BGC now online:.
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RT @JasperDenissen: Apply for one of the many IMPRS PhD projects before the 6th of September if you are interested in doing a PhD ( https://….
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Great talk @PierreGentine, thanks for sharing!.
In case people would be interested - my presentation on hybrid modeling compared to pure machine learning at AI4ESS is online here:
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Interesting concept for easy-to-grasp scientific posters: "classic" layout left, main message middle, backup figures / tables on the right side. #betterposter.
To everyone who tried, shared, and discussed #betterposter this year: Thank you for all the support and lessons.♥️. I think we took a first, imperfect step towards speeding up science through poster sessions. Looking forward to attempting the next step in 2020. Happy Holidays.🎄
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RT @jeremyphoward: "How to do machine learning efficiently". There's so much to love about this wonderful article. .
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