3 citations · 5 across the 3 of their papers we have counts for
3 papers · 1 filter
Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain
Gabriel Kasmi, Laurent Dubus, Yves-Marie Saint Drenan +1
Neural networks have shown remarkable performance in computer vision, but their deployment in numerous scientific and technical fields is challenging due to their black-box nature.…
Towards unsupervised assessment with open-source data of the accuracy of deep learning-based distributed PV mapping
Gabriel Kasmi, Laurent Dubus, Philippe Blanc +1
Photovoltaic (PV) energy is rapidly growing and key to mitigating the energy crisis. However, distributed PV generation, which amounts to half of the PV installed capacity, is typi…
SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting
Quentin Paletta, Anthony Hu, Guillaume Arbod +2
Translational invariance induced by pooling operations is an inherent property of convolutional neural networks, which facilitates numerous computer vision tasks such as classifica…