LIRIS news
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The data used to train AIs reflect societal stereotypes and prejudices, for example, towards underrepresented groups. In order to maintain the confidentiality of sensitive data, such as health data, while ensuring that it is not biased, learning methods must be adapted.
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We will have the pleasure to welcome Sébastien Destercke, DR CNRS at the Heudiasyc laboratory (UTC, Compiègne), for a LIRIS seminar entitled "Learning in an imperfect world, with a focus on uncertain data.", on Thursday, September 26 at 2pm in room C002 of Nautibus. All welcome!
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A new video available on the CNRS Le Journal website.
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Le GDR-IGRV PhD award committee has given Axel Paris an accessit for his thesis entitled "Modeling and simulating virtual terrains" supervised by Eric Galin and Eric Guérin, Origami team.
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Marina Ferrari, minister of state for digital affairs, handed the best master thesis award of the National Digital Council to Léa Mosesso on May the 17th. Léa is a design researcher in the Sical team working on the Digital Limits project. She wrote her master’s thesis on the work conducted during her internship in the Sical team in 2022.
Spotlight publications
- Bastien Doignies, David Coeurjolly, Nicolas Bonneel, Julie Digne, Jean-Claude Iehl & Victor Ostromoukhov (2024). « Differentiable Owen Scrambling ». ACM Transactions on Graphics, vol. 43, n°6, p. 255. doi : 10.1145/3687764. HAL : hal-04721127.
- Liqun Liu, Romain Vuillemot, Philippe Rivière, Jeremy Boy & Aurélien Tabard (2024). « Generalizing OD-Maps to Explore Multi-Dimensional Geospatial Datasets ». The Cartographic Journal, p. 20. doi : https://doi.org/10.1080/00087041.2024.2325191. HAL : hal-04471211.
- Philippe Lamarre, Jennie Andersen, Alban Gaignard & Sylvie Cazalens (2024). « A generic framework to better understand and compare FAIRness measures ». Knowledge Engineering and Knowledge Management - 24rd International Conference, EKAW 2024, 28 novembre 2024, Amsterdam (Pays-Bas). HAL : hal-04709107.
- Sonia Ben Mokhtar, Louis-Claude Canon, Anthony Dugois, Loris Marchal & Etienne Rivière (2024). « A scheduling framework for distributed key-value stores and its application to tail latency minimization ». Journal of Scheduling. doi : 10.1007/s10951-023-00803-8. HAL : hal-04501444.
- Nicolas Bousquet, Laurent Feuilloley & Sébastien Zeitoun (2024). « Local certification of local properties: tight bounds, trade-offs and new parameters ». 41st International Symposium on Theoretical Aspects of Computer Science (STACS 2024), 14 mars 2024, Clermont - Ferrand (France). doi : 10.4230/LIPIcs.STACS.2024.21. ArXiv : 2312.13702. HAL : hal-04440851.
- Aurélien Cecille, Stefan Duffner, Franck Davoine, Thibault Neveu & Rémi Agier (2024). « GroCo: Ground Constraint for Metric Self-Supervised Monocular Depth ». European Conference on Computer Vision (ECCV), 4 octobre 2024, Milano (Italie). ArXiv : 2409.14850. HAL : hal-04704025.