El Gheche


Mireille received a master’s degree in radio communication from Centrale Supélec and a Ph.D. degree in signal and image processing from Université Gustave Eiffel. From January 2015 until August 2017, she was a postdoctoral researcher at the IMS and IMB laboratories, Université de Bordeaux, where she worked on optimization methods for image super-resolution, denoising, and reconstruction. From November 2017 until January 2021, she was a postdoctoral researcher at École Polytechnique Fédérale de Lausanne (Switzerland), where she worked on computational problems in graph theory using machine learning approaches. Since February 2021, she has been a senior research scientist at Sony AI, Zurich.


“At Sony AI, I hope to gain valuable insight and experience that will help me in the future. I plan to build on the skills I learn in this job and develop a clear picture of where I see myself professionally over several years working with the company.”


fGOT: Graph Distances based on Filters and Optimal Transport

AAAI, 2022
Hermina Petric Maretic*, Mireille El Gheche, Giovanni Chierchia*, Pascal Frossard*

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 distance. It is an opt…


Shape the Future of AI with Sony AI

We want to hear from those of you who have a strong desire
to shape the future of AI.