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ISABELLE GUYON

Isabelle Guyon

Chaired Professor of Artificial Intelligence 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).

President of ChaLearn

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 Paris-Saclay Center for Data Science (CDS) and the Codalab project .

We recently won a large EU grant to organize the 2 million Euro See.4C challenge with data from RTE. The winners have been announced.

Our current projects include the TrackML challenge, the AutoDL challenge and Learning to run a Power Network.

Serving on the board of JEDI.

October 2021: Interview by the Spanish national newspaper ABC. Ya existe una ‘superinteligencia humana’ y eso no nos asusta.

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).

SVM

The invention of SVMs

(the story)

National Academy of Sciences

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.


Academie des Sciences

November 2018: La Science Hors Murs. I was invited to talk about my journey as challenge organizer and how to organize contests of contests.