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Michaël Blot
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2010 – 2019
- 2019
- [j1]Michaël Blot, David Picard, Nicolas Thome, Matthieu Cord:
Distributed optimization for deep learning with gossip exchange. Neurocomputing 330: 287-296 (2019) - [c4]Antoine Saporta, Yifu Chen, Michaël Blot, Matthieu Cord:
Reve: Regularizing Deep Learning with Variational Entropy Bound. ICIP 2019: 1610-1614 - [i5]Antoine Saporta, Yifu Chen, Michaël Blot, Matthieu Cord:
REVE: Regularizing Deep Learning with Variational Entropy Bound. CoRR abs/1910.06816 (2019) - 2018
- [b1]Michaël Blot:
Study on training methods and generalization performance of deep learning for image classification. (Étude de l'apprentissage et de la généralisation des réseaux profonds en classification d'images). Sorbonne University, France, 2018 - [c3]Michaël Blot, Thomas Robert, Nicolas Thome, Matthieu Cord:
Shade: Information-Based Regularization for Deep Learning. ICIP 2018: 813-817 - [i4]Michaël Blot, Thomas Robert, Nicolas Thome, Matthieu Cord:
SHADE: Information-Based Regularization for Deep Learning. CoRR abs/1804.10988 (2018) - [i3]Michaël Blot, Thomas Robert, Nicolas Thome, Matthieu Cord:
SHADE: Information-Based Regularization for Deep Learning. CoRR abs/1805.05814 (2018) - 2016
- [c2]Michaël Blot, Marie-Jeanne Lesot, Marcin Detyniecki:
Transformation-based constraint-guided Generalised Modus Ponens. FUZZ-IEEE 2016: 1316-1322 - [c1]Michaël Blot, Matthieu Cord, Nicolas Thome:
Max-min convolutional neural networks for image classification. ICIP 2016: 3678-3682 - [i2]Michaël Blot, Matthieu Cord, Nicolas Thome:
Maxmin convolutional neural networks for image classification. CoRR abs/1610.07882 (2016) - [i1]Michaël Blot, David Picard, Matthieu Cord, Nicolas Thome:
Gossip training for deep learning. CoRR abs/1611.09726 (2016)
Coauthor Index
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