Nathan Hubens - researchr alias

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Viewing Publication 1 - 6 from 6

2022

Where Is My Mind (Looking at)? A Study of the EEG-Visual Attention RelationshipVictor Delvigne, Noé Tits, Luca La Fisca, Nathan Hubens, Antoine Maiorca, Hazem Wannous, Thierry Dutoit, Jean-Philippe Vandeborre. informatics, 9(1):26, 2022. [doi]

Towards lighter and faster deep neural networks with parameter pruning. (Compression et accélération de réseaux de neurones profonds par élagage synaptique)Nathan Hubens. PhD thesis, University of Mons, Belgium, 2022. [doi]

Improve Convolutional Neural Network Pruning by Maximizing Filter VarietyNathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia. iciap 2022: 379-390 [doi]

One-Cycle Pruning: Pruning Convnets With Tight Training BudgetNathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia. icip 2022: 4128-4132 [doi]

Towards Lightweight Neural Animation: Exploration of Neural Network Pruning in Mixture of Experts-based Animation ModelsAntoine Maiorca, Nathan Hubens, Sohaib Laraba, Thierry Dutoit. grapp 2022: 286-293 [doi]

2020

An Experimental Study of the Impact of Pre-Training on the Pruning of a Convolutional Neural NetworkNathan Hubens, Matei Mancas, Marc Decombas, Marius Preda, Titus B. Zaharia, Bernard Gosselin, Thierry Dutoit. appis 2020: [doi]

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