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Journal Articles
- 2022
[j7]El Mehdi Achour, François Malgouyres, Franck Mamalet:
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks. J. Mach. Learn. Res. 23: 347:1-347:56 (2022)- 2018
- [j6]Paul Ferré, Franck Mamalet, Simon J. Thorpe
:
Unsupervised Feature Learning With Winner-Takes-All Based STDP. Frontiers Comput. Neurosci. 12: 24 (2018) - 2014
- [j5]Khaoula Elagouni, Christophe Garcia, Franck Mamalet, Pascale Sébillot:
Text recognition in multimedia documents: a study of two neural-based OCRs using and avoiding character segmentation. Int. J. Document Anal. Recognit. 17(1): 19-31 (2014) - 2009
- [j4]Nicolas Farrugia, Franck Mamalet, Sébastien Roux, Fan Yang, Michel Paindavoine:
Fast and Robust Face Detection on a Parallel Optimized Architecture Implemented on FPGA. IEEE Trans. Circuits Syst. Video Technol. 19(4): 597-602 (2009) - 2008
- [j3]Nicolas Farrugia, Franck Mamalet, Sébastien Roux, Fan Yang, Michel Paindavoine:
Design of a Real-Time Face Detection Parallel Architecture Using High-Level Synthesis. EURASIP J. Embed. Syst. 2008 (2008) - 2007
- [j2]Franck Mamalet, Sébastien Roux, Christophe Garcia:
Real-Time Video Convolutional Face Finder on Embedded Platforms. EURASIP J. Embed. Syst. 2007 (2007) - [j1]Bruno Galilée, Franck Mamalet, Marc Renaudin, Pierre-Yves Coulon:
Parallel Asynchronous Watershed Algorithm-Architecture. IEEE Trans. Parallel Distributed Syst. 18(1): 44-56 (2007)
Conference and Workshop Papers
- 2024
- [c19]Louis Béthune, Thomas Massena, Thibaut Boissin, Aurélien Bellet, Franck Mamalet, Yannick Prudent, Corentin Friedrich, Mathieu Serrurier, David Vigouroux:
DP-SGD Without Clipping: The Lipschitz Neural Network Way. ICLR 2024 - 2023
- [c18]Mathieu Serrurier, Franck Mamalet, Thomas Fel, Louis Béthune, Thibaut Boissin:
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective. NeurIPS 2023 - 2022
- [c17]Louis Béthune, Thibaut Boissin, Mathieu Serrurier, Franck Mamalet, Corentin Friedrich, Alberto González-Sanz:
Pay attention to your loss : understanding misconceptions about Lipschitz neural networks. NeurIPS 2022 - [c16]Florence de Grancey, Jean-Luc Adam, Lucian Alecu, Sébastien Gerchinovitz, Franck Mamalet, David Vigouroux:
Object Detection with Probabilistic Guarantees: A Conformal Prediction Approach. SAFECOMP Workshops 2022: 316-329 - 2021
- [c15]Mathieu Serrurier, Franck Mamalet, Alberto González-Sanz, Thibaut Boissin, Jean-Michel Loubes, Eustasio del Barrio:
Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization. CVPR 2021: 505-514 - 2015
- [c14]Clément Peyrard, Moez Baccouche, Franck Mamalet, Christophe Garcia:
ICDAR2015 competition on Text Image Super-Resolution. ICDAR 2015: 1201-1205 - [c13]Clément Peyrard, Franck Mamalet, Christophe Garcia:
A Comparison between Multi-Layer Perceptrons and Convolutional Neural Networks for Text Image Super-Resolution. VISAPP (1) 2015: 84-91 - 2013
- [c12]Grégoire Lefebvre, Samuel Berlemont, Franck Mamalet, Christophe Garcia:
BLSTM-RNN Based 3D Gesture Classification. ICANN 2013: 381-388 - 2012
- [c11]Moez Baccouche, Franck Mamalet, Christian Wolf, Christophe Garcia, Atilla Baskurt:
Spatio-Temporal Convolutional Sparse Auto-Encoder for Sequence Classification. BMVC 2012: 1-12 - [c10]Khaoula Elagouni, Christophe Garcia, Franck Mamalet, Pascale Sébillot:
Combining Multi-scale Character Recognition and Linguistic Knowledge for Natural Scene Text OCR. Document Analysis Systems 2012: 120-124 - [c9]Franck Mamalet, Christophe Garcia:
Simplifying ConvNets for Fast Learning. ICANN (2) 2012: 58-65 - [c8]Khaoula Elagouni, Christophe Garcia, Franck Mamalet, Pascale Sébillot:
Text Recognition in Videos Using a Recurrent Connectionist Approach. ICANN (2) 2012: 172-179 - [c7]Moez Baccouche, Franck Mamalet, Christian Wolf, Christophe Garcia, Atilla Baskurt:
Sparse shift-invariant representation of local 2D patterns and sequence learning for human action recognition. ICPR 2012: 3823-3826 - 2011
- [c6]Moez Baccouche, Franck Mamalet, Christian Wolf, Christophe Garcia, Atilla Baskurt:
Sequential Deep Learning for Human Action Recognition. HBU 2011: 29-39 - 2010
- [c5]Moez Baccouche, Franck Mamalet, Christian Wolf, Christophe Garcia, Atilla Baskurt:
Action Classification in Soccer Videos with Long Short-Term Memory Recurrent Neural Networks. ICANN (2) 2010: 154-159 - [c4]Franck Mamalet, Sébastien Roux, Christophe Garcia:
Embedded facial image processing with Convolutional Neural Networks. ISCAS 2010: 261-264 - 2007
- [c3]Nicolas Farrugia, Franck Mamalet, Sébastien Roux, Fan Yang, Michel Paindavoine:
A Parallel Face Detection System Implemented on FPGA. ISCAS 2007: 3704-3707 - 2006
- [c2]Sébastien Roux, Franck Mamalet, Christophe Garcia:
Embedded Convolutional Face Finder. ICME 2006: 285-288 - 2002
- [c1]Bruno Galilée, Franck Mamalet, Marc Renaudin, Pierre-Yves Coulon:
Watershed parallel algorithm for asynchronous processors array. ICME (1) 2002: 793-796
Informal and Other Publications
- 2024
- [i8]Armand Foucault, Franck Mamalet, François Malgouyres:
Quantized Approximately Orthogonal Recurrent Neural Networks. CoRR abs/2402.04012 (2024) - [i7]Cyril Cappi, Noémie Cohen, Mélanie Ducoffe, Christophe Gabreau, Laurent Gardes, Adrien Gauffriau, Jean-Brice Ginestet, Franck Mamalet, Vincent Mussot, Claire Pagetti, David Vigouroux:
How to design a dataset compliant with an ML-based system ODD? CoRR abs/2406.14027 (2024) - 2023
- [i6]Louis Béthune, Thomas Massena, Thibaut Boissin, Yannick Prudent, Corentin Friedrich, Franck Mamalet, Aurélien Bellet, Mathieu Serrurier, David Vigouroux:
DP-SGD Without Clipping: The Lipschitz Neural Network Way. CoRR abs/2305.16202 (2023) - 2022
- [i5]Mathieu Serrurier, Franck Mamalet, Thomas Fel, Louis Béthune, Thibaut Boissin:
When adversarial attacks become interpretable counterfactual explanations. CoRR abs/2206.06854 (2022) - 2021
- [i4]Hervé Delseny, Christophe Gabreau, Adrien Gauffriau, Bernard Beaudouin, Ludovic Ponsolle, Lucian Alecu, Hugues Bonnin, Brice Beltran, Didier Duchel, Jean-Brice Ginestet, Alexandre Hervieu, Ghilaine Martinez, Sylvain Pasquet, Kevin Delmas, Claire Pagetti, Jean-Marc Gabriel, Camille Chapdelaine, Sylvaine Picard, Mathieu Damour, Cyril Cappi, Laurent Gardès, Florence de Grancey, Eric Jenn, Baptiste Lefèvre, Grégory Flandin, Sébastien Gerchinovitz, Franck Mamalet, Alexandre Albore:
White Paper Machine Learning in Certified Systems. CoRR abs/2103.10529 (2021) - [i3]Louis Béthune, Alberto González-Sanz, Franck Mamalet, Mathieu Serrurier:
The Many Faces of 1-Lipschitz Neural Networks. CoRR abs/2104.05097 (2021) - [i2]El Mehdi Achour, François Malgouyres, Franck Mamalet:
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks. CoRR abs/2108.05623 (2021) - 2020
- [i1]Mathieu Serrurier, Franck Mamalet, Alberto González-Sanz, Thibaut Boissin, Jean-Michel Loubes, Eustasio del Barrio:
Achieving robustness in classification using optimal transport with hinge regularization. CoRR abs/2006.06520 (2020)
Coauthor Index
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