RIDR, RISE DL Research Group
Foundational and applied machine learning for the Earth
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Paper accepted at AAMAS 2026!
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Published:
The paper DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable Environments has been accepted to AAMAS 2026! Code and camera-ready paper will soon be available.
Grant obtained from SLU Grogrund
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We’re glad to announce that we have obtained funding from SLU Grogrund for the project Breeder co-pilot - Optimizing plant breeding with AI. Aleksis from the RIDR group will lead an AI-centric work package, as well as be co-supervisor for an industrial PhD student at Lantmännen (main supervisor at SLU).
Five posters accepted at various EurIPS workshops!
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The RIDR group will presenting research through five posters at four different EurIPS workshops in December!
Master’s thesis projects in AI for Earth observation, ecology, and bioacoustics
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The RIDR (RISE Deep Learning Research) group is offering several exciting Master’s thesis opportunities for students passionate about applying artificial intelligence to real-world ecological challenges. These projects offer a chance to work with unique datasets, collaborate with interdisciplinary teams, and contribute to impactful research with the potential for publication.