Carlos Lassance
Carlos Lassance
Research Scientist at NaverLabs Europe
Verified email at naverlabs.com - Homepage
Title
Cited by
Cited by
Year
Attention based pruning for shift networks
GB Hacene, C Lassance, V Gripon, M Courbariaux, Y Bengio
2020 25th International Conference on Pattern Recognition (ICPR), 4054-4061, 2021
192021
Laplacian networks: Bounding indicator function smoothness for neural networks robustness
C Lassance, V Gripon, A Ortega
APSIPA Transactions on Signal and Information Processing 10, 2021
17*2021
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
142020
Introducing graph smoothness loss for training deep learning architectures
M Bontonou, C Lassance, GB Hacene, V Gripon, J Tang, A Ortega
2019 IEEE Data Science Workshop (DSW), 2019
92019
Matching convolutional neural networks without priors about data
CERK Lassance, JC Vialatte, V Gripon
2018 IEEE Data Science Workshop (DSW), 234-238, 2018
82018
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
52016
Representing deep neural networks latent space geometries with graphs
C Lassance, V Gripon, A Ortega
Algorithms 14 (2), 39, 2021
32021
Graph topology inference benchmarks for machine learning
C Lassance, V Gripon, G Mateos
2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020
32020
Structural robustness for deep learning architectures
C Lassance, V Gripon, J Tang, A Ortega
2019 IEEE Data Science Workshop (DSW), 125-129, 2019
3*2019
A unified deep learning formalism for processing graph signals
M Bontonou, C Lassance, JC Vialatte, V Gripon
arXiv preprint arXiv:1905.00496, 2019
32019
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
32016
Improved Visual Localization via Graph Filtering
C Lassance, Y Latif, R Garg, V Gripon, I Reid
Journal of Imaging 7 (2), 20, 2021
2*2021
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
22019
Graph-projected signal processing
N Grelier, CERK Lassance, E Dupraz, V Gripon
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
22018
Composite Code Sparse Autoencoders for First Stage Retrieval
C Lassance, T Formal, S Clinchant
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
2021
Improving Classification Accuracy with Graph Filtering
M Hamidouche, C Lassance, Y Hu, L Drumetz, B Pasdeloup, V Gripon
arXiv preprint arXiv:2101.04789, 2021
2021
Graph Filtering for Improving the Accuracy of Classification problems
M Hamidouche, C Lassance, Y Hu, L Drumetz, B Pasdeloup, V Gripon
stat 1050, 12, 2021
2021
Graphs for deep learning representations
C Lassance
arXiv preprint arXiv:2012.07439, 2020
2020
DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems
V Gripon, C Lassance, GB Hacene
arXiv preprint arXiv:2012.01509, 2020
2020
Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs
C Lassance, L Béthune, M Bontonou, M Hamidouche, V Gripon
arXiv preprint arXiv:2011.12737, 2020
2020
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