Isabelle Guyon

Researcher, Google DeepMind, Google

Full Professor, LIMSI, Université Paris-Saclay

Joined

December 2017

Names

Isabelle Guyon (Preferred)

Isabelle M Guyon

Emails

****@lri.fr (Confirmed)

****@clopinet.com (Confirmed)

****@chalearn.org (Confirmed)

****@u-psud.fr (Confirmed)

****@google.com (Confirmed)

Personal Links

DBLP

Career & Education History

Researcher

Google DeepMind, Google (google.com)

2022 – Present

Full Professor

LIMSI, Université Paris-Saclay (universite-paris-saclay.fr)

2016 – Present

Advisors, Relations & Conflicts

PhD Advisor

Gerard Dreyfus

1985 – 1988

Expertise

No areas of expertise listed

Publications

FAIR Universe HiggsML Uncertainty Dataset and Competition
Wahid Bhimji, Ragansu Chakkappai, Po-Wen Chang, Yuan-Tang Chou, Sascha Diefenbacher, Jordan Dudley, Ibrahim Elsharkawy, Steven Farrell, Aishik Ghosh, Cristina Giordano, Isabelle Guyon, Chris Harris, Yota Hashizume, Shih-Chieh Hsu, Elham E Khoda, Claudius Krause, Ang Li, Benjamin Nachman, David Rousseau, Robert Schöfbeck et al. (5 additional authors not shown)
- NeurIPS 2025 Datasets and Benchmarks Track poster
- Readers: Everyone
The NeurIPS 2024 Checklist Assistant: Pioneering the Use of LLMs in Scientific Peer Review
Isabelle Guyon
- OpenReview News Article
- Readers: Everyone
Machine Learning Multiscale Processes
Nikita Kazeev, Eleonore Vissol-Gaudin, Mengyi Chen, Isabelle Guyon, Andrey E Ustyuzhanin
- ICLR 2025 Workshop Proposals
- Readers: Everyone
Challenge design roadmap
Hugo Jair Escalante, Isabelle Guyon, Addison Howard, Walter Reade, Sebastien Treguer
- Accepted by DMLR
- Readers: Everyone
FAIR Universe – the challenge of handling uncertainties in fundamental science
David Rousseau, Wahid Bhimji, Ragansu Chakkappai, Steven Farrell, Aishik Ghosh, Isabelle Guyon, Chris Harris, Elham E Khoda, Benjamin Nachman, Ihsan Ullah, Sascha Diefenbacher, Yuan-Tan Chou, Paolo Calafiura, Yulei Zheng
- NeurIPS 2024 Competition Track
- Readers: Everyone
Learning Functional Causal Models with Generative Neural Networks
Olivier Goudet, Diviyan Kalainathan, Philippe Caillou, Isabelle Guyon, David Lopez-Paz, Michele Sebag
- The Springer Series on Challenges in Machine Learning
- Readers: Everyone
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
Diviyan Kalainathan, Olivier Goudet, Isabelle Guyon, David Lopez-Paz, Michele Sebag
- Journal of Machine Learning Research
- Readers: Everyone
DMLR: Data-centric Machine Learning Research - Past, Present and Future
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 et al. (18 additional authors not shown)
- Accepted by DMLR
- Readers: Everyone
The problem of fairness in synthetic healthcare data
Karan Bhanot, Miao Qi, John S Erickson, Isabelle Guyon, Kristin Bennett
- 24 Sept 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
HHD-Ethiopic: A Historical Handwritten Dataset for Ethiopic OCR with Baseline Models and Human-level Performance
Birhanu Hailu Belay, Isabelle Guyon, Tadele Mengiste, Bezawork Tilahun, Marcus Liwicki, Tesfa Tegegne, Romain Egele
- Submitted to ICLR 2024
- Readers: Everyone

View all 38 publications

Co-Authors

View all 188 co-authors