4 citations · 4 across the 4 of their papers we have counts for
4 papers
Feature Expansion and enhanced Compression for Class Incremental Learning
Quentin Ferdinand, Gilles Le Chenadec, Benoit Clement +2
Class incremental learning consists in training discriminative models to classify an increasing number of classes over time. However, doing so using only the newly added class data…
PID Tuning using Cross-Entropy Deep Learning: a Lyapunov Stability Analysis
Hector Kohler, Benoit Clement, Thomas Chaffre +1
Underwater Unmanned Vehicles (UUVs) have to constantly compensate for the external disturbing forces acting on their body. Adaptive Control theory is commonly used there to grant t…
Learning-based vs Model-free Adaptive Control of a MAV under Wind Gust
Thomas Chaffre, Julien Moras, Adrien Chan-Hon-Tong +4
Navigation problems under unknown varying conditions are among the most important and well-studied problems in the control field. Classic model-based adaptive control methods can b…
Learning sparse structures for physics-inspired compressed sensing
Clément Dorffer, Thomas Paviet-Salomon, Gilles Le Chenadec +1
In underwater acoustics, shallow water environments act as modal dispersive waveguides when considering low-frequency sources. In this context, propagating signals can be described…