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Director, Research Scientist, Google Brain (just started, Oct 3 2022!)
Chaired Professor of Artificial Intelligence (PR EX1) and INRIA researcher, Machine Learning and Optimization (TAU team), Laboratoire Interdisciplinaire des Sciences du Numérique (LISN) University Paris-Saclay, France
Graduate of ESPCI. PhD in Paris in Gerard Dreyfus' Lab. Worked at Bell Labs for 7 years, then moved to Berkeley, California. Three children with Bernhard Boser. Independent consultant with ClopiNet.
Since 2015, Full Professor at Université Paris-Saclay: Teaching Machine Learning and advising graduate students. 2019-2021, coordinator of CS Artificial Intelligence master program at UPSaclay.
Co-program chair of NeurIPS 2016 and co-general chair of NeurIPS 2017. [what the press says]; then NeurIPS board member. AMIA and an ELLIS fellow. Action editor at JMLR, and CiML springer series editor. BBVA award recipient (2020).
Bear Valley, California
501(c)(3) non-profit organizing challenges
Since 2003 machine learning challenge organizer. Using challenges as a means of directing research in domains including: causality, computer vision, automatic machine learning, and high energy physics.
ChaLearn collaborates with the open-source Codalab competitions project , of which I am community lead.
We received a large EU grant to organize the 2 million Euro See.4C challenge with data from RTE. The winners have been announced. We also co-organized the AI for Industry challenge with Dassault Aviation funded by Région Ile-de-France.
Our current projects include Looking at People, TrackML, Meta-Learning challenges, and Learning to run a Power Network, and systematic bias in computer vision, medical data, and High Energy Physics (HEP).
March 2023: Exposition Femmes de Sciences, 140 ans de l'ESPCI. [Image credit: Anthony Thornton.]
December 2022: NeurIPS keynote on datasets and benchmarks: How ML is becoming an experimental science. [Image credit: Dall-E]
August 2022: We received with Lawrence Berkeley Labs a grant of 6.4 million USD to develop benchmarks in High Energy Physics and implement them on Codabench. [Image credits: X-ray by NASA/CXC/PSU/L.Townsley et al; Optical by UKIRT; Infrared by NASA/JPL-Caltech]
October 2021: Interview by the Spanish national newspaper ABC. Ya existe una ‘superinteligencia humana’ y eso no nos asusta.
February 2020: Isabelle Guyon, Bernhard Shölkopf, and Vladimir Vapnik receive the Frontier in Knowledge BBVA award, in recognition of the invention of SVMs.
We are starting a new ANR Artificial Intelligence Chaire
April 2020: AutoDL challenge design and results (NAS workshop @ ICLR 2020) [SLIDES] ( Talk in Google drive good resolution OR [Youtube part I] [Youtube part II] ). A SERIES sponsored by ChaLearn, Google, 4Paradigm. We participated to the Jean Zay grand challenge (1000 GPU super-computer).
Avril 2018 - Article dans Le Monde: Isabelle Guyon veut democratiser l'intelligence artificielle. [Image credit: Marion Berrin]
The invention of SVMs
March 2019: Sackler Coloquium of the Science of Deep Learning. A presentation of the work done in collaboration with RTE France to help predict the flow of electricity in the French power grid.
November 2018: La Science Hors Murs. I was invited to talk about my journey as challenge organizer and how to organize contests of contests.
Pionnière : Isabelle Guyon, professeur à l’université de Paris-Saclay. Fond memory from the Bell Labs days: movie on Siamese networks.
