Name: Uncertainty Quantification in Machine Learning
Start: 2025-01-27T10:00:00+01:00
End: 2025-01-27T12:05:00+01:00
Location: No location set

Uncertainty Quantification in Machine Learning

Monday 27 January 2025 - 10:00

Monday 27 January 2025
10:00 Uncertainty Quantification in ML
Uncertainty Quantification in ML
10:00 - 12:05
Contributions

10:00 Introduction - Alessandra Cappati (Universite Catholique de Louvain (UCL) (BE)) Claudius Krause (HEPHY Vienna (ÖAW)) Riccardo Finotello (CEA Paris-Saclay)

10:05 Generation of penalizing configurations for 2-d random field - Rudy Chocat (CEA Paris-Saclay)

10:45 Uncertainty Quantification methodology for science and industry - Clément Gauchy (CEA Paris-Saclay)

11:25 Using amplitudes for accuracy and uncertainty estimation in ML - Nina Elmer (Heidelberg University)

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