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Carlos Lassance
Carlos Lassance
Other namesCarlos Eduardo Rosar Kos Lassance, Carlos Rosar Kos Lassance
Research Scientist at Naver Labs Europe
Verified email at naverlabs.com - Homepage
Title
Cited by
Cited by
Year
From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective
T Formal, C Lassance, B Piwowarski, S Clinchant
arXiv preprint arXiv:2205.04733, 2022
66*2022
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
292020
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
272021
Laplacian networks: Bounding indicator function smoothness for neural networks robustness
C Lassance, V Gripon, A Ortega
APSIPA Transactions on Signal and Information Processing 10, e2, 2021
24*2021
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
142019
Representing deep neural networks latent space geometries with graphs
C Lassance, V Gripon, A Ortega
Algorithms 14 (2), 39, 2021
102021
Matching convolutional neural networks without priors about data
CERK Lassance, JC Vialatte, V Gripon
2018 IEEE Data Science Workshop (DSW), 234-238, 2018
82018
Methods and analysis of the first competition in predicting generalization of deep learning
Y Jiang, P Natekar, M Sharma, SK Aithal, D Kashyap, N Subramanyam, ...
NeurIPS 2020 Competition and Demonstration Track, 170-190, 2021
72021
An efficiency study for SPLADE models
C Lassance, S Clinchant
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
62022
Graph topology inference benchmarks for machine learning
C Lassance, V Gripon, G Mateos
2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020
62020
Improved visual localization via graph filtering
C Lassance, Y Latif, R Garg, V Gripon, I Reid
Journal of Imaging 7 (2), 20, 2021
5*2021
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
TLDR: Twin learning for dimensionality reduction
Y Kalantidis, C Lassance, J Almazán, D Larlus
arXiv preprint arXiv:2110.09455, 2021
42021
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
42020
Structural robustness for deep learning architectures
C Lassance, V Gripon, J Tang, A Ortega
2019 IEEE Data Science Workshop (DSW), 125-129, 2019
4*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
42016
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, 306-314, 2019
32019
A unified deep learning formalism for processing graph signals
M Bontonou, C Lassance, JC Vialatte, V Gripon
arXiv preprint arXiv:1905.00496, 2019
32019
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
22021
Graph-projected signal processing
N Grelier, CERK Lassance, E Dupraz, V Gripon
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
22018
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Articles 1–20