677 citations
- Université de Rouen NormandieFR107 papers
- Normandie UniversitéFR51 papers
- Institut National des Sciences Appliquées Rouen NormandieFR42 papers
- Centre National de la Recherche ScientifiqueFR32 papers
- Laboratoire d'Informatique Gaspard-MongeFR11 papers
- GREYCFR9 papers
- Institut national de recherche en sciences et technologies du numériqueFR9 papers
- Criteo (France)FR8 papers
- Observatoire de la Côte d’AzurFR7 papers
- Université Le Havre NormandieFR7 papers
- Laboratoire d'étude de l'apprentissage et du développementFR5 papers
- Laboratoire d'Informatique de l'École PolytechniqueFR5 papers
16 papers · 1 filter
Gradient-based deterministic inversion of geophysical data with Generative Adversarial Networks: is it feasible?
Eric Laloy, Niklas Linde, Cyprien Ruffino +3
Global probabilistic inversion within the latent space learned by a Generative Adversarial Network (GAN) has been recently demonstrated. Compared to inversion on the original model…
The MeSH-gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for UMLS Semantic Similarity and Relatedness in the Biomedical Domain
Saïd Abdeddaïm, Sylvestre Vimard, Lina Fatima Soualmia
Eliciting semantic similarity between concepts in the biomedical domain remains a challenging task. Recent approaches founded on embedding vectors have gained in popularity as they…
Sharp non asymptotic oracle inequalities for non parametric computerized tomography model
Dominique Fourdrinier, Sergey Pergamenshchikov
We consider non parametric estimation problem for stochastic tomography regression model, i.e. we consider the estimation problem of function of multivariate variables (image) obse…
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images
Bharath Bhushan Damodaran, Rémi Flamary, Viven Seguy +1
Deep neural networks have established as a powerful tool for large scale supervised classification tasks. The state-of-the-art performances of deep neural networks are conditioned…
Quantum circuits of c -- Z and SWAP gates optimization and entanglement
Marc Bataille, Jean-Gabriel Luque
We have studied the algebraic structure underlying the quantum circuits composed by $\cZ$ and $\Swap$ gates. Our results are applied to optimize the circuits and to understand the…
A Unified Multilingual Handwriting Recognition System using multigrams sub-lexical units
Wassim Swaileh, Yann Soullard, Thierry Paquet
We address the design of a unified multilingual system for handwriting recognition. Most of multi- lingual systems rests on specialized models that are trained on a single language…