| Laplacian networks: Bounding indicator function smoothness for neural network robustness CERK Lassance, V Gripon, A Ortega arXiv preprint arXiv:1805.10133, 2018 | 7* | 2018 |
| Matching convolutional neural networks without priors about data CERK Lassance, JC Vialatte, V Gripon 2018 IEEE Data Science Workshop (DSW), 234-238, 2018 | 6 | 2018 |
| Attention based pruning for shift networks GB Hacene, C Lassance, V Gripon, M Courbariaux, Y Bengio arXiv preprint arXiv:1905.12300, 2019 | 5 | 2019 |
| The Not-so-Distant Future: Distance-Bounding Protocols on Smartphones S Gambs, CERK Lassance, C Onete Smart Card Research and Advanced Applications: 14th International Conference …, 2016 | 4 | 2016 |
| Introducing graph smoothness loss for training deep learning architectures M Bontonou, C Lassance, GB Hacene, V Gripon, J Tang, A Ortega arXiv preprint arXiv:1905.00301, 2019 | 3 | 2019 |
| Deep geometric knowledge distillation with graphs C Lassance, M Bontonou, GB Hacene, V Gripon, J Tang, A Ortega ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 1 | 2020 |
| A unified deep learning formalism for processing graph signals M Bontonou, C Lassance, JC Vialatte, V Gripon arXiv preprint arXiv:1905.00496, 2019 | 1 | 2019 |
| Assembly output codes for learning neural networks P Tigréat, CRK Lassance, X Jiang, V Gripon, C Berrou 2016 9th International Symposium on Turbo Codes and Iterative Information …, 2016 | 1 | 2016 |
| Un modèle unifié pour la classification de signaux sur graphe avec de l'apprentissage profond M Bontonou, C Lassance, JC Vialatte, V Gripon GRETSI, 2020 | | 2020 |
| Robustesse structurelle des architectures d'apprentissage profond C Lassance, V Gripon, J Tang, A Ortega GRETSI, 2020 | | 2020 |
| Improved Visual Localization via Graph Smoothing C Lassance, Y Latif, R Garg, V Gripon, I Reid arXiv preprint arXiv:1911.02961, 2019 | | 2019 |
| Structural Robustness for Deep Learning Architectures C Lassance, V Gripon, J Tang, A Ortega arXiv preprint arXiv:1909.05095, 2019 | | 2019 |
| Comparing linear structure-based and data-driven latent spatial representations for sequence prediction M Bontonou, C Lassance, V Gripon, N Farrugia Wavelets and Sparsity XVIII 11138, 111380Z, 2019 | | 2019 |
| Attention Based Pruning for Shift Networks G Boukli Hacene, C Lassance, V Gripon, M Courbariaux, Y Bengio arXiv, arXiv: 1905.12300, 2019 | | 2019 |
| Graph-Projected Signal Processing N Grelier, CERK Lassance, E Dupraz, V Gripon 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | | 2018 |
| Large-Scale Memory of Sequences Using Binary Sparse Neural Networks on GPU MRS Marques, GB Hacene, CERK Lassance, PH Horrein 2017 International Conference on High Performance Computing & Simulation …, 2017 | | 2017 |
| Implementing Distance-bounding protocols on Android smartphones CERK Lassance INRIA/Centrale Supéléc, 2015 | | 2015 |
| PROCESSING GRAPH SIGNALS: A UNIFIED DEEP LEARNING FORMALISM M Bontonou, C Lassance, JC Vialatte, V Gripon | | |
| Predicting Under and Overfitting in Deep Neural Networks using Graph Smoothness CERK Lassance, V Gripon, A Ortega | | |
Vincent GriponIMT Atlantique and Lab-STICCVerified email at imt-atlantique.fr
