This workshop aims to bring together the mathematical community interested in the field of artificial intelligence. The goal of this workshop is to foster the maximum amount of scientific exchange among the various mathematical researchers working on the mathematical aspects of AI.
The rise of machine learning and artificial intelligence methods across many fields has created new demands for mathematical analysis of these methods. Indeed, mathematical modeling in AI enables a rigorous approach to questions of explainability, efficiency, and safety of AI-based tools. From a mathematical perspective, many classical disciplines are involved in the challenges posed by AI, often offering new and interdisciplinary angles of study.
The workshop will be made of oral presentation with a call to contributions (one page abstract). A poster session will be organized if necessary.
Conference location
Institut de mathématiques de Bordeaux,
Bâtiment A33
351, Cours de la Libération
F-33405 TALENCE
Call for contributions
The call for contributions will be opened in May (one page abstract .pdf). All topics from the mathematics of AI to applications, including AI for mathematics, are welcome.
Examples (without any particular order):
Optimization (e.g., stochastic algorithms) Optimal transport (e.g., analysis of generative models) Inverse problems (e.g., use of DNNs for inverse problems) PDEs (e.g., "physics-informed neural networks") Mathematics of LLMs Mathematics of learning Mathematics of neural networks AI for mathematics (e.g., proof assistants, etc.) Operations research (e.g., integration of ML models in OR) Applications (e.g., medical imaging, etc.) Random matrices (e.g., spectrum of neural networks) Other math-AI themes
Scientific comitee
Camille Castera (IMB) Elsa Cazelles (IRIT) Rémi Gribonval (INRIA) Amaury Hayat (Ecole des ponts) Franck Iutzeler (IMT) Anna Korba (ENSAE) Cyril Letrouit(LM Orsay) Samuel Vaiter (Laboratoire J.A. Dieudonné)
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