UQ4ML | COMETA Workshop on Uncertainty Quantification for Machine Learning

Session

Simulations and Coding

UQ4ML/20250915/sim-code

Sep 15, 2025, 2:15 PM

Amphithéâtre Claude Bloch (IPhT) (CEA Paris-Saclay)

Conveners

Simulations and Coding: Keynote

• Jean-Baptiste Blanchard (CEA/IRFU,Centre d'etude de Saclay Gif-sur-Yvette (FR))

Simulations and Coding: Talks

• Jean-Baptiste Blanchard (CEA/IRFU,Centre d'etude de Saclay Gif-sur-Yvette (FR))

50. Quantifying uncertainties in computer models: an overview

Merlin Keller (EDF)

9/15/25, 2:15 PM

Simulations and Coding

Keynote

Predictions from computer models are now extensively in industrial studies, to complement, or even sometimes replace, field experiments. Such numerical experiments have key advantages, such as reduced costs, and added flexibility. However, they raise the question of assessing the validity of computer model predictions, with respect to the physical phenomena they seek to reproduce. This is the...

42. Uncertainty in AI-driven Monte Carlo simulations

Dimitrios Tzivrailis (CEA Paris-Saclay)

9/15/25, 3:45 PM

Simulations and Coding

Short-talk

In the study of complex systems, evaluating physical observables often requires sampling representative configurations via Monte Carlo techniques. These methods rely on repeated evaluations of the system's energy and force fields, which can become computationally expensive. To accelerate these simulations, deep learning models are increasingly employed as surrogate functions to approximate the...

38. Parameter Estimation with Neural Simulation-Based Inference in ATLAS

David Rousseau (IJCLab-Orsay)

9/15/25, 4:15 PM

HEP - Experiment

Short-talk

Neural Simulation-Based Inference (NSBI) is a powerful class of machine learning (ML)-based methods for statistical inference that naturally handle high dimensional parameter estimation without the need to bin data into low-dimensional summary histograms. Such methods are promising for a range of measurements at the Large Hadron Collider, where no single observable may be optimal to scan over...