Continuous Pruning of Deep Convolutional Networks Using Selective Weight Decay. - Hugo Tessier; Vincent Gripon; Mathieu Léonardon; Matthieu Arzel; Thomas Hannagan; David Bertrand (CoRR, 2020)

Pruning Graph Convolutional Networks to Select Meaningful Graph Frequencies for FMRI Decoding. - Yassine El Ouahidi; Hugo Tessier; Giulia Lioi; Nicolas Farrugia; Bastien Pasdeloup; Vincent Gripon (EUSIPCO, 2022)

Leveraging Structured Pruning of Convolutional Neural Networks. - Hugo Tessier; Vincent Gripon; Mathieu Léonardon; Matthieu Arzel; David Bertrand; Thomas Hannagan (SiPS, 2022)

Energy Consumption Analysis of Pruned Semantic Segmentation Networks on an Embedded GPU. - Hugo Tessier; Vincent Gripon; Mathieu Léonardon; Matthieu Arzel; David Bertrand; Thomas Hannagan (SYSINT, 2022)

Rethinking Weight Decay for Efficient Neural Network Pruning. - Hugo Tessier; Vincent Gripon; Mathieu Léonardon; Matthieu Arzel; Thomas Hannagan; David Bertrand (J. Imaging, 2022)

Pipelined Architecture for a Semantic Segmentation Neural Network on FPGA. - Hugo Le Blevec; Mathieu Léonardon; Hugo Tessier; Matthieu Arzel (ICECS, 2023)

ThinResNet: A New Baseline for Structured Convolutional Networks Pruning. - Hugo Tessier; Ghouthi Boukli Hacene; Vincent Gripon (CoRR, 2023)

Convolutional neural networks pruning and its application to embedded vision systems. (Élagage de réseaux de neurones convolutifs et son application aux systèmes embarqués de vision par ordinateur). - Hugo Tessier (2023)

Event Classification of Accelerometer Data for Industrial Package Monitoring with Embedded Deep Learning. - Manon Renault; Hamoud Younes; Hugo Tessier; Ronan Le Roy; Bastien Pasdeloup; Mathieu Léonardon (CoRR, 2025)