
RIDR, RISE DL Research Group
Foundational and applied machine learning for the Earth
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Aggregation Strategies for Efficient Annotation of Bioacoustic Sound Events Using Active Learning
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Accepted EurIPS 2025 workshop – Workshop on AI for Climate and Conservation
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The RIDR group is excited to announce that the Workshop on AI for Climate and Conservation (AICC) has been accepted for EurIPS 2025! The AICC workshop will take place in Copenhagen, Denmark, Dec 6th or 7th (TBD; workshops are co-located with EurIPS)! Several members of the RIDR group are in the organization and/or program committee.
Welcoming Our New RIDR Group Members!
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We are excited to introduce three new researchers joining the RIDR group this year: Isabelle Tingzon, Ayush Prasad, and Fan Wang. Their diverse expertise in remote sensing, AI, and physics-guided ML will strengthen our work on tackling environmental problems with AI and machine learning.
Grant for doctoral project from the Swedish Foundation for Strategic Research
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Excited to announce that we have obtained funding from the Swedish Foundation for Strategic Research for the doctoral project ML-Earth: Robust and data-efficient machine learning for Earth observation.