David Rousseau

Researcher, IJCLab

Joined

July 2019

Names

David Rousseau (Preferred)

Emails

****@lal.in2p3.fr (Confirmed)

Personal Links

Career & Education History

Researcher

IJCLab (in2p3.fr)

1999 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

Machine Learning

2013 – Present

High Energy Physics

1992 – Present

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
Towards impactful challenges: post-challenge paper, benchmarks and other dissemination actions
David Rousseau, Antoine Marot, Zhen Xu
- 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
FAIR Universe HiggsML Uncertainty Challenge Competition
Wahid Bhimji, Paolo Calafiura, Ragansu Chakkappai, Yuan-Tang Chou, Sascha Diefenbacher, Jordan Dudley, Steven Farrell, Aishik Ghosh, Isabelle Guyon, Chris Harris, Shih-Chieh Hsu, Elham E Khoda, Rémy Lyscar, Alexandre Michon, Benjamin Nachman, Peter Nugent, Mathis Reymond, David Rousseau, Benjamin Sluijter, Benjamin Thorne et al. (2 additional authors not shown)
- CoRR 2024
- Readers: Everyone
The Tracking Machine Learning Challenge: Throughput Phase
Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather M. Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin et al. (1 additional authors not shown)
- Comput. Softw. Big Sci. 2023
- Readers: Everyone
AI Competitions and Benchmarks: towards impactful challenges with post-challenge papers, benchmarks and other dissemination actions
Antoine Marot, David Rousseau, Zhen Xu
- CoRR 2023
- Readers: Everyone
A Common Tracking Software Project
Xiaocong Ai, Corentin Allaire, Noemi Calace, Angéla Czirkos, Markus Elsing, Irina Ene, Ralf Farkas, Louis-Guillaume Gagnon, Rocky Garg, Paul Gessinger, Hadrien Grasland, Heather M. Gray, Christian Gumpert, Julia Hrdinka, Benjamin Huth, Moritz Kiehn, Fabian Klimpel, Bernadette Kolbinger, Attila Krasznahorkay, Robert Langenberg et al. (12 additional authors not shown)
- Comput. Softw. Big Sci. 2022
- Readers: Everyone
Artificial Intelligence for High Energy Physics
Paolo Calafiura, David Rousseau, Kazuhiro Terao
- undefined 2022
- Readers: Everyone
The Tracking Machine Learning challenge : Throughput phase
Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather M. Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin et al. (1 additional authors not shown)
- CoRR 2021
- Readers: Everyone
Resource-efficient inference for particle physics
David Rousseau
- Nat. Mach. Intell. 2021
- Readers: Everyone

View all 21 publications

Co-Authors

View all 212 co-authors