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- CentraleSupélecFR19 papers
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14 papers · 1 filter
Cross-network transferable neural models for WLAN interference estimation
Danilo Marinho Fernandes, Jonatan Krolikowski, Zied Ben Houidi +2
Airtime interference is a key performance indicator for WLANs, measuring, for a given time period, the percentage of time during which a node is forced to wait for other transmissi…
Revisiting and Optimising a CNN Colour Constancy Method for Multi-Illuminant Estimation
Ghalia Hemrit, Joseph Meehan
The aim of colour constancy is to discount the effect of the scene illumination from the image colours and restore the colours of the objects as captured under a 'white' illuminant…
Machine Learning and Analytical Power Consumption Models for 5G Base Stations
Nicola Piovesan, David Lopez-Perez, Antonio De Domenico +3
The energy consumption of the fifth generation(5G) of mobile networks is one of the major concerns of the telecom industry. However, there is not currently an accurate and tractabl…
Local Evaluation of Time Series Anomaly Detection Algorithms
Alexis Huet, Jose Manuel Navarro, Dario Rossi
In recent years, specific evaluation metrics for time series anomaly detection algorithms have been developed to handle the limitations of the classical precision and recall. Howev…
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models
Giulio Franzese, Simone Rossi, Lixuan Yang +4
Score-based diffusion models are a class of generative models whose dynamics is described by stochastic differential equations that map noise into data. While recent works have sta…
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning
Milad Sefidgaran, Romain Chor, Abdellatif Zaidi
In this paper, we use tools from rate-distortion theory to establish new upper bounds on the generalization error of statistical distributed learning algorithms. Specifically, ther…