1.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Nantes UniversitéFR597 papers
- Laboratoire de Physique Subatomique et des Technologies AssociéesFR563 papers
- Centre National de la Recherche ScientifiqueFR555 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR455 papers
- Institut Pluridisciplinaire Hubert CurienFR315 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di BolognaIT313 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR310 papers
- Université Paris-SaclayFR295 papers
- GSI Helmholtz Centre for Heavy Ion ResearchDE285 papers
- National Institute for Subatomic PhysicsNL284 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT276 papers
- Institut de Recherche sur les Lois Fondamentales de l'UniversFR274 papers
7 papers · 2 filters
GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection
Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch +2
Representing maritime traffic patterns and detecting anomalies from them are key to vessel monitoring and maritime situational awareness. We propose a novel approach -- referred to…
Training Modern Deep Neural Networks for Memory-Fault Robustness
Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia +2
Because deep neural networks (DNNs) rely on a large number of parameters and computations, their implementation in energy-constrained systems is challenging. In this paper, we inve…
Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models
Redouane Lguensat, Julien Le Sommer, Sammy Metref +2
We introduce a new strategy designed to help physicists discover hidden laws governing dynamical systems. We propose to use machine learning automatic differentiation libraries to…
Improved Visual Localization via Graph Smoothing
Carlos Lassance, Yasir Latif, Ravi Garg +2
Vision based localization is the problem of inferring the pose of the camera given a single image. One solution to this problem is to learn a deep neural network to infer the pose…
Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging
Yusuf Pilavci, Nicolas Farrugia
Graph Signal Processing has become a very useful framework for signal operations and representations defined on irregular domains. Exploiting transformations that are defined on gr…
A Unified Deep Learning Formalism For Processing Graph Signals
Myriam Bontonou, Carlos Lassance, Jean-Charles Vialatte +1
Convolutional Neural Networks are very efficient at processing signals defined on a discrete Euclidean space (such as images). However, as they can not be used on signals defined o…
Transfer Learning with Sparse Associative Memories
Quentin Jodelet, Vincent Gripon, Masafumi Hagiwara
In this paper, we introduce a novel layer designed to be used as the output of pre-trained neural networks in the context of classification. Based on Associative Memories, this lay…