208 citations
- Institut Polytechnique de ParisFR57 papers
- Centre National de la Recherche ScientifiqueFR23 papers
- Services répartis, Architectures, MOdélisation, Validation, Administration des RéseauxFR16 papers
- Institut Mines-TélécomFR10 papers
- Laboratoire Traitement et Communication de l’InformationFR7 papers
- Télécom ParisFR7 papers
- Université Paris 8FR7 papers
- Université Paris-SaclayFR7 papers
- École Nationale Supérieure d’Informatique pour l’Industrie et l’EntrepriseFR4 papers
- Laboratoire d'Informatique pour la Mécanique et les Sciences de l'IngénieurFR4 papers
- Orange (France)FR3 papers
- American Rock Mechanics AssociationUS2 papers
5 papers · 1 filter
Generic Multicast (Extended Version)
José Augusto Bolina, Pierre Sutra, Douglas Antunes Rocha +1
Communication primitives play a central role in modern computing. They offer a panel of reliability and ordering guarantees for messages, enabling the implementation of complex dis…
Accuracy Enhancement of an Optical Network Digital Twin Based on Open-Source Field Data
Ambashri Purkayastha, Cédric Ware, Mounia Lourdiane +2
We propose a two-stage hybrid QoT model for twinning a real transport network and evaluate it on recently published field data. Accounting for partial calibration of key parameters…
Joint Design of Conventional Public Transport Network and Mobility on Demand
Xiaoyi Wu, Nisrine Mouhrim, Andrea Araldo +3
Conventional Public Transport (PT) is based on fixed lines, running with routes and schedules determined a-priori. In low-demand areas, conventional PT is inefficient. Therein, Mob…
Inserting Faces inside Captions: Image Captioning with Attention Guided Merging
Yannis Tevissen, Khalil Guetari, Marine Tassel +2
Image captioning models are widely used to describe recent and archived pictures with the objective of improving their accessibility and retrieval. Yet, these approaches tend to be…
Forecasting with Pairwise Gaussian Markov Models
Marc Escudier, Ikram Abdelkefi, Clément Fernandes +1
Pairwise Markov Models (PMMs) extend the wellknown Hidden Markov Models (HMMs). Being significantly more general, PMMs enable several types of processing, like Bayesian filtering o…