3 papers
cs.LG2024
Memory-Optimized Once-For-All Network
Maxime Girard, Victor Quétu, Samuel Tardieu +2
Deploying Deep Neural Networks (DNNs) on different hardware platforms is challenging due to varying resource constraints. Besides handcrafted approaches aiming at making deep model…
eess.SP2023
Enhanced EEG-Based Mental State Classification : A novel approach to eliminate data leakage and improve training optimization for Machine Learning
Maxime Girard, Rémi Nahon, Enzo Tartaglione +1
In this paper, we explore prior research and introduce a new methodology for classifying mental state levels based on EEG signals utilizing machine learning (ML). Our method propos…
q-bio.NC2023
Estimating the energy requirements for long term memory formation
Maxime Girard, Jiamu Jiang, Mark CW van Rossum
Brains consume metabolic energy to process information, but also to store memories. The energy required for memory formation can be substantial, for instance in fruit flies memory…