Bertrand Le Saux
@blesa_ux
Data-driven Earth observation and computer vision, (quantum) machine learning
ID: 1138829595480924165
https://blesaux.github.io/ 12-06-2019 15:25:08
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920 Followers
566 Following
Do not miss the first #SuperIce webinar on 14 février 2024 • 10:00 - 12:00! Artificial intelligence for observing and modelling the Artic, with Julien julien brajard and Charlotte Durand ! Organised through the NERSC project #SuperIce funded by the European Space Agency ESA Earth Observation !
Why, how and when #xAI in #RemoteSensing? as a follow-up action of our #ML4Earth workshop on #xAI, we have complied a symmetrical overview on the topic under the lead of my brilliant PhD students Ivica Obadic and Adrian, in collaboration with Miguel-Ángel Fernández-Torres Zeynep Akata #AI4EO
The diffusion model is one of the most used generative models, seen in examples like Midjourney or DALL-E. A new hybrid diffusion model (Bertrand Le Saux) has been proposed, where some layers were replaced by parametrized quantum circuits. arxiv.org/abs/2402.16147
Geospatial foundation models are all the rage now, but how good is yours? we release #PhilEOBench a huge 400Go dataset w/ 3 global downstream tasks to test it! project: phileo-bench.github.io arxiv: arxiv.org/abs/2401.04464 Join🤗community: huggingface.co/PhilEO-communi… @ESA ESA Earth Observation
Interested in getting an overview on #building extraction from #RemoteSensing imagery? Qingyu complied a comprehensive survey, recently published IEEE Geoscience and Remote Sensing Society #TGRS - RS offers a perspective to complement incomplete #OSM building data. Link to paper: ieeexplore.ieee.org/abstract/docum…
Are you working at the crossroads of AI and Space? Then do not miss the opportunity to publish in the dedicated Special Issue of Springer Nature Neural Computing and Applications! link.springer.com/journal/521/up… Guest edited w/ Cosimo Ieracitano Roberto Furfaro Fei Gao Nadia Mammone etc.
Are you interested in generating images using quantum computing? Check out our new approach: LaSt-QGAN! arxiv.org/abs/2406.02668 Michele Grossi Supanut Thanasilp Bertrand Le Saux #MachineLearning #QuantumComputing #GenerativeModeling #GenerativeAdversarialNetworks
More details: 👨💻 Code github.com/tabularaza27/i… 📃 Paper arxiv.org/abs/2410.04135 led by Kai Jeggle w/ Federico Serva, Bertrand Le Saux David Neubauer & @UlrikeLohmann3