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A mathematical approach to resilience
In this paper, we evolve from sparsity, a key concept in robust statisti...
09/21/2020 ∙ by Dominique Pastor, et al. ∙
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Interfacing biology, category theory and mathematical statistics
Motivated by the concept of degeneracy in biology (Edelman, Gally 2001),...
09/15/2020 ∙ by Dominique Pastor, et al. ∙
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Decentralized Clustering on Compressed Data without Prior Knowledge of the Number of Clusters
In sensor networks, it is not always practical to set up a fusion center...
07/12/2018 ∙ by Elsa Dupraz, et al. ∙
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Convolutional neural networks on irregular domains through approximate translations on inferred graphs
We propose a generalization of convolutional neural networks (CNNs) to i...
10/27/2017 ∙ by Bastien Pasdeloup, et al. ∙
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Translations on graphs with neighborhood preservation
In the field of graph signal processing, defining translation operators ...
09/12/2017 ∙ by Bastien Pasdeloup, et al. ∙
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Towards a characterization of the uncertainty curve for graphs
Signal processing on graphs is a recent research domain that aims at gen...
04/27/2016 ∙ by Bastien Pasdeloup, et al. ∙
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