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个人简介
Isabelle Guyon is Director, Research Scientist at Google, in detachment from her position as professor of Artificial Intelligence at Université Paris-Saclay (Orsay). She specializes in data-centric AI, statistical data analysis, pattern recognition, and machine learning. Her areas of expertise include computer vision, bioinformatics, and power systems. Her recent interests include meta-learning and applications of machine learning to the discovery of causal relationships. Prior to joining Paris-Saclay she worked as an independent consultant and was a researcher at AT&T Bell Laboratories, where she pioneered applications of neural networks to pen computer interfaces (with collaborators including Yann LeCun and Yoshua Bengio) and co-invented with Bernhard Boser and Vladimir Vapnik Support Vector Machines (SVM), which became a textbook machine learning method. She is also the primary inventor of SVM-RFE, a variable selection technique based on SVM. The SVM-RFE paper has thousands of citations and is often used as a reference method against which new feature selection methods are benchmarked. She also authored a seminal paper on feature selection that received thousands of citations. She organized many challenges in Machine Learning since 2003 supported by the EU network Pascal2, NSF, DARPA, and the European Commission, with prizes sponsored by Microsoft, Google, Facebook, Amazon, Disney Research, and Texas Instrument. Isabelle Guyon holds a Ph.D. degree in Physical Sciences of the University Pierre and Marie Curie, Paris, France. She is president of Chalearn, a non-profit dedicated to organizing challenges, action editor of the Journal of Machine Learning Research, editor of the Springer series of Challenges in Machine Learning, and served recently as program co-chair of NIPS 2016 and general co-chair of NIPS 2017. She ins the 2020 recipient of the BBVA Frontiers in Research Award together with Prof. Schoelkopf and Prof. Vapnik.
研究兴趣
论文共 351 篇作者统计合作学者相似作者
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Hai-Dan Yuan,Ajian Liu, Jiawen Zheng,Jun Wan,Jiankang Deng,Sérgio Escalera,Hugo Jair Escalante,Isabelle Guyon,Zhen Lei
arXiv (Cornell University) (2024)
Pattern Recognition Letters (2024)
Birhanu Hailu Belay,Isabelle Guyon, Tadele Mengiste, Bezawork Tilahun,Marcus Liwicki, Tesfa Tegegne,Romain Egele
Lecture Notes in Computer Science Document Analysis and Recognition - ICDAR 2024pp.23-38, (2024)
arXiv (Cornell University) (2024)
Eleni Triantafillou, Peter Kairouz, Fabian Pedregosa,Jamie Hayes,Meghdad Kurmanji, Kairan Zhao,Vincent Dumoulin,Julio Jacques Junior,Ioannis Mitliagkas,Jun Wan, Lisheng Sun Hosoya,Sergio Escalera,Gintare Karolina Dziugaite,Peter Triantafillou,Isabelle Guyon
CoRR (2024)
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CoRR (2024)
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Luis Oala,Manil Maskey, Lilith Bat-Leah,Alicia Parrish,Nezihe Merve Gürel,Tzu-Sheng Kuo,Yang Liu,Rotem Dror,Danilo Brajovic,Xiaozhe Yao,Max Bartolo,William A Gaviria Rojas, Ryan Hileman, Rainier Aliment,Michael W. Mahoney, Meg Risdal,Matthew Lease,Wojciech Samek, Debojyoti Dutta,Curtis G Northcutt,Cody Coleman,Braden Hancock,Bernard Koch,Girmaw Abebe Tadesse,Bojan Karlaš,Ahmed Alaa,Adji Bousso Dieng,Natasha Noy,Vijay Janapa Reddi,James Zou,Praveen Paritosh,Mihaela van der Schaar,Kurt Bollacker,Lora Aroyo,Ce Zhang,Joaquin Vanschoren,Isabelle Guyon,Peter Mattson
arXiv (Cornell University) (2023)
arXiv (Cornell University) (2023)
Sabrina Amrouche,Laurent Basara,Paolo Calafiura,Dmitry Emeliyanov,Victor Estrade,Steven Farrell,Cécile Germain,Vladimir Vava Gligorov,Tobias Golling,Sergey Gorbunov,Heather Gray,Isabelle Guyon,Mikhail Hushchyn,Vincenzo Innocente,Moritz Kiehn,Marcel Kunze,Edward Moyse,David Rousseau,Andreas Salzburger,Andrey Ustyuzhanin,Jean-Roch Vlimant
Comput. Softw. Big Sci.no. 1 (2023): 1-19
2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN (2023): 1-9
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作者统计
#Papers: 350
#Citation: 76243
H-Index: 67
G-Index: 276
Sociability: 7
Diversity: 1
Activity: 3
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