5 citations · 7 across the 7 of their papers we have counts for
3 papers · 1 filter
How Far Do Simple Transformations Translate Across Text Embedding Models?
Sid Ali Hamideche, Louis-Adrien Dufrène, Quentin Lampin +1
We investigate whether simple transformations can translate representations across heterogeneous text embedding models. Understanding how independently trained models organize sema…
Bridging the Data Gap: Digital Twin as a New Paradigm for AI-based Radio Sensing
Éloi Sainte-Beuve, Guillaume Larue, Louis-Adrien Dufrène +2
We present a methodology that places a 3D digital twin (DT) of the environment as the main enabler behind the development of radio sensing at scale. The DT acts as a world model, p…
Learning High-Dimensional Parity Functions with Product Networks using Gradient Descent
Guillaume Larue, Louis-Adrien Dufrène, Quentin Lampin +2
Parity functions are fundamental Boolean operations with critical applications across machine learning, cryptography, and error correction. Yet, learning high-dimensional parity fu…