UQ4ML | COMETA Workshop on Uncertainty Quantification for Machine Learning

Mathematicians and physicists perspectives

In recent years, the landscape of scientific research has been dramatically reshaped by advancements in AI and machine learning (ML). These tools have enabled us to process vast amounts of data and uncover complex patterns with unprecedented efficiency. However, as we delve deeper into these realms, the importance of understanding and quantifying uncertainty in our computations has become increasingly apparent. Uncertainty Quantification (UQ) is not just about acknowledging the limitations of our models and data, but also about harnessing this understanding to make more robust predictions and get to more reliable conclusions. It is a vital component of scientific rigour, enabling us to navigate the complexities of real-world systems with confidence.

Objective and Goals

We aim to foster a cross-disciplinary dialogue on the challenges and opportunities presented by UQ: a topic developed across decades by applied mathematicians, and used by a wide variety of scientists for many applications, High Energy Physics (HEP) being only one particular case. We will discuss how results from different research fields can enhance our understanding in physics, improve the reliability of mathematical models, guide the development of scientific AI and ML tools in the future.

Organizing Committee

The French Atomic and Alternative Energy Commission (CEA), backed by excellence in fundamental research, provides concrete solutions to society's needs for low carbon energy, numerical challenges, and technologies for future medicine.

The Laboratory of Artificial Intelligence and Data Science (LIAD) of CEA is dedicated to tackle the challenges of the ever-growing need for precise, trustworthy, and robust solutions in statistics and machine learning.

The Institute of Theoretical Physics (IPhT), known for its excellency and devoted to deal with fundamental research, it also provides capable solutions for modern applications, such as quantum computing.

Keynote Speakers

For security reasons, the number of participants will be limited to 40.