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- Centre National de la Recherche ScientifiqueFR209 papers
- Université Grenoble AlpesFR163 papers
- Institut polytechnique de GrenobleFR140 papers
- Grain Inspection, Packers and Stockyards AdministrationUS56 papers
- Laboratoire d'Informatique de GrenobleFR38 papers
- Centre Inria de l'Université Grenoble AlpesFR37 papers
- Institut national de recherche en sciences et technologies du numériqueFR33 papers
- Laboratoire des signaux et systèmesFR22 papers
- CentraleSupélecFR17 papers
- Sorbonne UniversitéFR16 papers
- Laboratoire Jean KuntzmannFR15 papers
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR14 papers
41 papers · 1 filter
On sensor quantization in linear control systems: Krasovskii solutions meet semidefinite programming
Francesco Ferrante, Frédéric Gouaisbaut, Sophie Tarbouriech
Stability and stabilization for linear state feedback control systems in the presence of sensor quantization are studied. As the closed-loop system is described by a discontinuous…
A mathematical model of the vowel space
Frédéric Berthommier
The articulatory-acoustic relationship is many-to-one and non linear and this is a great limitation for studying speech production. A simplification is proposed to set a bijection…
Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review
Richa Upadhyay, Ronald Phlypo, Rajkumar Saini +1
Integrating knowledge across different domains is an essential feature of human learning. Learning paradigms such as transfer learning, meta-learning, and multi-task learning refle…
Multi-task learning on the edge: cost-efficiency and theoretical optimality
Sami Fakhry, Romain Couillet, Malik Tiomoko
This article proposes a distributed multi-task learning (MTL) algorithm based on supervised principal component analysis (SPCA) which is: (i) theoretically optimal for Gaussian mix…
Effect Of Personalized Calibration On Gaze Estimation Using Deep-Learning
Nairit Bandyopadhyay, Sébastien Riou, Didier Schwab
With the increase in computation power and the development of new state-of-the-art deep learning algorithms, appearance-based gaze estimation is becoming more and more popular. It…
A distillation-based approach integrating continual learning and federated learning for pervasive services
Anastasiia Usmanova, François Portet, Philippe Lalanda +1
Federated Learning, a new machine learning paradigm enhancing the use of edge devices, is receiving a lot of attention in the pervasive community to support the development of smar…