UQ4ML | COMETA Workshop on Uncertainty Quantification for Machine Learning

from Monday, 15 September 2025 (14:00) to Thursday, 18 September 2025 (22:15)
CEA Paris-Saclay (Amphithéâtre Claude Bloch (IPhT))

        : Sessions
    /     : Talks
        : Breaks
15 Sept 2025
16 Sept 2025
17 Sept 2025
18 Sept 2025
AM
09:30
HEP - Theory -Dr Marco Letizia (until 10:30)
09:30 Machine learning for optimal BSM sensitivity - Giuliano Panico (University of Florence and INFN Florence)  
10:30 --- Coffee break ---
11:00
HEP - Theory -Dr Marco Letizia (until 12:30)
11:00 Determination and validation of modeling and theory uncertaintie - Stefano Forte (Università degli Studi e INFN Milano (IT))  
11:30 Parton Distributions from Neural Networks: Analytical Results - Amedeo Chiefa  
12:00 Energy Flow Networks for Jet Quenching Studies - João A. Gonçalves (LIP - IST)  
09:30
Data analysis, Time Series, Causal analysis - Riccardo Finotello (CEA Paris-Saclay) (until 10:30)
09:30 Introduction to Causality for Time Series and HSIC - Aurore Lomet (CEA Paris-Saclay)  
10:30 --- Coffee break ---
11:00
Data analysis, Time Series, Causal analysis - Riccardo Finotello (CEA Paris-Saclay) (until 12:30)
11:00 Calibrated and uncertain? Evaluating uncertainty estimates in binary classification models - Aurora Singstad Grefsrud (Western Norway University of Applied Sciences (NO))  
11:30 Unsupervised Anomaly Detection in Multivariate Time Series Using Public Benchmarks and Synthetic Data from Lorenzetti - Laura Boggia (Centre National de la Recherche Scientifique (FR))  
12:00 Bayesian continual learning and forgetting in neural networks - Kellian Cottart (Université Paris Saclay)  
09:00
Spotlight -Dr Harold Erbin (until 10:00)
09:00 Machine learning of biological sequences - Jorge Fernández de Cossío Díaz (CEA Paris-Saclay)  
10:00 --- Coffee break ---
10:30
Spotlight -Dr Harold Erbin (until 11:00)
10:30 Interaction reconstruction in scintillator detectors for PET imaging - Deep Learning approach with uncertainty quantification - Geoffrey Daniel  
11:00
Organisation - Riccardo Finotello (CEA Paris-Saclay) (until 11:20)
11:00 Wrap Up - Alessandra Cappati (Universite Catholique de Louvain (UCL) (BE)) Dr Marco Letizia Shamik Ghosh (Centre National de la Recherche Scientifique (FR)) Karolos Potamianos (University of Warwick (GB)) Dr Claudius Krause (HEPHY Vienna (ÖAW)) Dr Riccardo Finotello (CEA Paris-Saclay)  
PM
14:00
Organisation -Dr Riccardo Finotello (CEA Paris-Saclay) (until 14:15)
14:00 Welcome to UQ4ML - Dr Claudius Krause (HEPHY Vienna (ÖAW)) Karolos Potamianos (University of Warwick (GB)) Shamik Ghosh (Centre National de la Recherche Scientifique (FR)) Dr Riccardo Finotello (CEA Paris-Saclay) Dr Marco Letizia Alessandra Cappati (Universite Catholique de Louvain (UCL) (BE))  
14:15
Simulations and Coding - Jean-Baptiste Blanchard (CEA/IRFU,Centre d'etude de Saclay Gif-sur-Yvette (FR)) (until 15:15)
14:15 Quantifying uncertainties in computer models: an overview - Merlin Keller (EDF)  
15:15 --- Coffee break ---
15:45
Simulations and Coding - Jean-Baptiste Blanchard (CEA/IRFU,Centre d'etude de Saclay Gif-sur-Yvette (FR)) (until 16:45)
15:45 Uncertainty in AI-driven Monte Carlo simulations - Dimitrios Tzivrailis (CEA Paris-Saclay)  
16:15 Parameter Estimation with Neural Simulation-Based Inference in ATLAS - David Rousseau (IJCLab-Orsay)  
12:30 --- Lunch break ---
14:00
HEP - Experiment - Shamik Ghosh (Centre National de la Recherche Scientifique (FR)) (until 15:00)
14:00 Uncertainty quantification for deep learning in astroparticle physics - Christian Glaser (Uppsala University)  
15:00 --- Coffee break ---
15:30
HEP - Experiment - Shamik Ghosh (Centre National de la Recherche Scientifique (FR)) (until 17:00)
15:30 Interdisciplinary Digital Twin Engine InterTwin for calorimeter simulation - Vera Maiboroda (CNRS, IJCLab)  
16:00 Scaling laws for amplitude surrogates - Joaquin Iturriza Ramirez (Centre National de la Recherche Scientifique (FR))  
16:30 Fair Universe HiggsML Uncertainty Challenge - Ragansu Chakkappai (IJCLab-Orsay)  
12:30 --- Lunch break ---
14:00
Deep Learning and Uncertainty Quantification - Alessandra Cappati (Universite Catholique de Louvain (UCL) (BE)) (until 15:00)
14:00 Uncertainty Quantification for Neural Networks in Particle Physics - Anja Butter (Centre National de la Recherche Scientifique (FR))  
15:00 --- Coffee break ---
15:30
Deep Learning and Uncertainty Quantification - Alessandra Cappati (Universite Catholique de Louvain (UCL) (BE)) (until 16:30)
15:30 Uncertainty Quantification in an ML Pattern Recognition Pipeline - Lukas Péron  
16:00 Uncertainty quantification for machine learning: a new approach for the Critical Heat Flux application - Michele Cazzola (CEA Paris-Saclay)