Workshop CNRS AISSAI/IN2P3 | AI and the uncertainty challenge in fundamental physics
![Workshop CNRS AISSAI/IN2P3](/sites/default/files/2023-10/Capture%20d%E2%80%99e%CC%81cran%202023-10-19%20a%CC%80%2017.37.12.png)
The integration of artificial intelligence (AI) into basic science is experiencing unprecedented momentum. However, specific challenges must be met:
- any measurement or prediction must be accompanied by a precise confidence interval ;
- measurements are based on a wide range of data, each with inherent uncertainties and potential correlations;
- confidence in measurement must be communicated to peers;
- the complexity of an experiment lies somewhere between a junkyard game and an autonomous car: detailed, expensive and imperfect simulators are available;
- each experimental set-up is a unique, complex device, producing semi-structured data;
- costly data in the petabyte range.
These challenges have been met in the past for extraordinarily complex measurements where the role of AI was not major (for example, the discoveries of the Higgs boson or gravitational waves). On the other hand, fundamental science has a decades-old culture of Big Data.
Themes addressed
The aim of this workshop is to bring together experts in basic sciences, computer science and statistics to discuss the topic of uncertainties, which has been broken down into several themes:
Monday
Opening session, Quantifying uncertainty, predicting uncertainty
Tuesday
Morning: Simulation-based inference
Afternoon: Explainable AI, Trustworthy AI
Wednesday morning
Data frugal approaches, data-centric AI, reference data and challenges, Fair Universe hackathon
Thursday
Morning: unfolding (or de-biasing, de-flouting)
Afternoon: Uncertainty control in generative models
Friday
Morning: architectures (Adversarial, Bayesian, ... )
Afternoon: closing session
Confirmed speakers
Luca Biferale (U Roma 2)
Jérôme Bobin (CEA)
Tommaso Dorigo (U Padova)
Gregor Kasiezcka (U Hamburg)
Mikael Kuusela (Carnegie Mellon)
Gilles Louppe (U Liège)
Mark Neubauer (U Illinois)
Registration and call for contributions
Registration is free (but compulsory), and will be limited to 120 on-site participants. Registration closes on November 15 at midnight CET.
Full-time and part-time remote participation will be possible, although the emphasis is on on-site participation. The registration form allows on-site participation to be specified with some granularity. The zoom link will be distributed to participants only.
Limited support is available, please enquire at rousseau AT ijclab.in2p3.fr.
Contributions are welcome; submissions will close on October 25 at midnight CET. Presentations must be made in person, with a few exceptions.
Venue
The workshop will take place from Monday November 27 2pm to Tuesday evening December 28 at SCAI, Paris (on the Jussieu campus) and Wednesday December 29, Thursday December 30, Friday December 1 5pm at Institut Pascal, Université Paris-Saclay.