127 citations
- Centre National de la Recherche ScientifiqueFR2 papers
- Laboratoire Psychologie de la PerceptionFR2 papers
- Assistance Publique – Hôpitaux de ParisFR1 paper
- BEAGLE: Artificial Evolution and Computational BiologyFR1 paper
- Centre de Mathématiques Appliquées de l'École polytechniqueFR1 paper
- Centre de Neurophysique Physiologie et PathologieFR1 paper
- Centre Hospitalier Universitaire Henri-MondorFR1 paper
- Centre Inria de l'Université Grenoble AlpesFR1 paper
- Centre Neurosciences intégratives et CognitionFR1 paper
- Département d'InformatiqueFR1 paper
- DYOGENE: Dynamics of Geometric NetworksFR1 paper
- École Normale Supérieure - PSLFR1 paper
14 papers
Coconut: sortable summarizations for scalable indexes over static and streaming data series
Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos +1
Many modern applications produce massive streams of data series that need to be analyzed, requiring efficient similarity search operations. However, the state-of-the-art data serie…
Understanding and monitoring the evolution of the Covid-19 epidemic from medical emergency calls: the example of the Paris area
Stéphane Gaubert, Marianne Akian, Xavier Allamigeon +16
We portray the evolution of the Covid-19 epidemic during the crisis of March-April 2020 in the Paris area, by analyzing the medical emergency calls received by the EMS of the four…
Fredholm theory for the mean first-passage time of integrate-and-fire oscillators with colored noise input
Carl van Vreeswijk, Farzad Farkhooi
We develop a method to investigate the effect of noise timescales on the first-passage time of nonlinear oscillators. Using Fredholm theory, we derive an exact integral equation fo…
Stationary characters on lattices of semisimple Lie groups
Rémi Boutonnet, Cyril Houdayer
We show that stationary characters on irreducible lattices of higher-rank connected semisimple Lie groups are conjugation invariant, that is, they are genuine characters. Th…
Knowledge transfer in deep block-modular neural networks
Alexander V. Terekhov, Guglielmo Montone, J. Kevin O'Regan
Although deep neural networks (DNNs) have demonstrated impressive results during the last decade, they remain highly specialized tools, which are trained -- often from scratch -- t…
Learning abstract perceptual notions: the example of space
Alexander V. Terekhov, J. Kevin O'Regan
Humans are extremely swift learners. We are able to grasp highly abstract notions, whether they come from art perception or pure mathematics. Current machine learning techniques de…