Scientific Diffusion
Latest research papers
Focus on Relevant Road Users with Multi-Rules Reachable Sets
Conference Paper
Monica Fossati, Ezio Malis, Philippe Martinet
Autonomous driving in urban environments poses significant challenges due to the presence of numerous heterogeneous agents, which may or may not comply with traffic rules. Considering all agents in the scene when exploring possible future scenarios can be computationally…
T-CoLoc: Leveraging Tethers for Reliable Co-Localization within an Underwater ROV Chain
Conference Paper
Juliette Drupt, Claire Dune, Andrew I. Comport, Vincent Hugel
Underwater Remotely Operated Vehicles (ROVs) exchange data with a control station via a communication cable. One or more intermediate robots can be placed along this tether to manage its shape and minimize the mechanical effects on the ROV. This work deals with the localization…
Green Data Centers as Grid-Forming Support Assets
Conference Paper
Anna Vandi, Ramon Aparicio-Pardo, Guillaume Urvoy-Keller
Renewable microgrids can help data centers cope with the increasing demand for cloud-based services, but they pay the price of the double uncertainty of workload and renewable resource availability. The mismatch between demand and renewable supply prevents microgrid-based data…
Stick-Breaking Embedded Topic Model with Continuous Optimal Transport for Online Analysis of Document Streams
Conference Paper
Federica Granese, Serena Villata, Charles Bouveyron
Online topic models are unsupervised algorithms to identify latent topics in data streams that continuously evolve over time. Although these methods naturally align with real-world scenarios, they have received considerably less attention from the community compared to their…
Fused-Planes: Why Train a Thousand Tri-Planes When You Can Share?
Conference Paper
Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jeremie Mary, Andrew I. Comport, Valérie Gouet-Brunet
Tri-Planar NeRFs enable the application of powerful 2D vision models for 3D tasks, by representing 3D objects using 2D planar structures. This has made them the prevailing choice to model large collections of 3D objects. However, training Tri-Planes to model such large…
Predicting cell division orientation in ascidian development
Conference Paper
Haydar Jammoul, Kilian Biazus, Benjamin Gallean, Patrick Lemaire, Grégoire Malandain
The ascidian embryo exhibits a highly reproducible pattern where homologous cells can be identified across different embryos, allowing consistent cell naming. This developmental stereotypy of the embryo depends strongly on the orientation of cell divisions. To better understand…