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07/04/2023
FEMDA: Une méthode de classification robuste et flexible
Linear and Quadratic Discriminant Analysis (LDA and QDA) are well-known ...
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10/01/2022
Clustering for directed graphs using parametrized random walk diffusion kernels
Clustering based on the random walk operator has been proven effective f...
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03/07/2022
Generalized Spectral Clustering for Directed and Undirected Graphs
Spectral clustering is a popular approach for clustering undirected grap...
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01/09/2022
Robust classification with flexible discriminant analysis in heterogeneous data
Linear and Quadratic Discriminant Analysis are well-known classical meth...
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05/10/2021
Exact asymptotic characterisation of running time for approximate gradient descent on random graphs
In this work we study the time complexity for the search of local minima...
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03/17/2021
A Survey of Stability Results for Redundancy Systems
Redundancy mechanisms consist in sending several copies of a same job to...
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12/14/2020
Clustering high dimensional meteorological scenarios: results and performance index
The Reseau de Transport d'Electricité (RTE) is the French main electrici...
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09/30/2020
Sequential Algorithms and Independent Sets Discovering on Large Sparse Random Graphs
Computing the size of maximum independent sets is a NP-hard problem for ...
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02/06/2020
Uncovering differential equations from data with hidden variables
Finding a set of differential equations to model dynamical systems is a ...
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07/02/2019