96 citations
- Centre de Robotique28 papers
- École Nationale Supérieure des Mines de ParisFR8 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Sorbonne UniversitéFR6 papers
- Université Paris Sciences et LettresFR5 papers
- Aix-Marseille UniversitéFR4 papers
- CEA Paris-SaclayFR4 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR4 papers
- Observatoire de la Côte d’AzurFR4 papers
- Université Paris CitéFR4 papers
- Valeo (France)FR4 papers
- École Normale Supérieure - PSLFR3 papers
39 papers
Reinforcement Learning for Robust Calibration of Multi-Qudit Quantum Gates
Amine Jaouadi, Sahel Ashhab
Higher-dimensional quantum systems, such as qudits, offer architectural and algorithmic advantages over qubits, but their increased spectral crowding and limited controllability re…
Learning Physically Consistent Lagrangian Control Models Without Acceleration Measurements
Ibrahim Laiche, Mokrane Boudaoud, Patrick Gallinari +1
This article investigates the modeling and control of Lagrangian systems involving non-conservative forces using a hybrid method that does not require acceleration calculations. It…
HARP-NeXt: High-Speed and Accurate Range-Point Fusion Network for 3D LiDAR Semantic Segmentation
Samir Abou Haidar, Alexandre Chariot, Mehdi Darouich +2
LiDAR semantic segmentation is crucial for autonomous vehicles and mobile robots, requiring high accuracy and real-time processing, especially on resource-constrained embedded syst…
Multiple-Frequencies Population-Based Training
Waël Doulazmi, Auguste Lehuger, Marin Toromanoff +3
Reinforcement Learning's high sensitivity to hyperparameters is a source of instability and inefficiency, creating significant challenges for practitioners. Hyperparameter Optimiza…
MIPHEI-ViT: Multiplex Immunofluorescence Prediction from H&E Images using ViT Foundation Models
Guillaume Balezo, Roger Trullo, Albert Pla Planas +2
Histopathological analysis is a cornerstone of cancer diagnosis, with Hematoxylin and Eosin (H&E) staining routinely acquired for every patient to visualize cell morphology and tis…
3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving
Jules Sanchez, Jean-Emmanuel Deschaud, François Goulette
Domain generalization aims to find ways for deep learning models to maintain their performance despite significant domain shifts between training and inference datasets. This is pa…