Person
Mireille El Gheche
This person is no longer with EPFL
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Related publications (15)
Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.
Distributed Graph Learning With Smooth Data Priors
Pascal Frossard, Mireille El Gheche, Isabela Cunha Maia Nobre
Graph learning is often a necessary step in processing or representing structured data, when the underlying graph is not given explicitly. Graph learning is generally performed centrally with a full knowledge of the graph signals, namely the data that live ...
IEEE2022fGOT: Graph Distances Based on Filters and Optimal Transport
Pascal Frossard, Mireille El Gheche, Hermina Petric Maretic, Giovanni Chierchia
Graph comparison deals with identifying similarities and dissimilarities between graphs. A major obstacle is the unknown alignment of graphs, as well as the lack of accurate and inexpensive comparison metrics. In this work we introduce the filter graph dis ...
ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2022Figlearn: Filter And Graph Learning Using Optimal Transport
Pascal Frossard, Mireille El Gheche, Matthias Minder, Zahra Farsijani
In many applications, a dataset can be considered as a set of observed signals that live on an unknown underlying graph structure. Some of these signals may be seen as white noise that has been filtered on the graph topology by a graph filter. Hence, the k ...
IEEE2021