2 citations · 7 across the 8 of their papers we have counts for
3 papers · 1 filter
Uncertainty quantification in model discovery by distilling interpretable material constitutive models from Gaussian process posteriors
David Anton, Henning Wessels, Ulrich Römer +2
Constitutive model discovery refers to the task of identifying an appropriate model structure, usually from a predefined model library, while simultaneously inferring its material…
Automated Constitutive Model Discovery by Pairing Sparse Regression Algorithms with Model Selection Criteria
Jorge-Humberto Urrea-Quintero, David Anton, Laura De Lorenzis +1
The automated discovery of constitutive models from data has recently emerged as a promising alternative to the traditional model calibration paradigm. In this work, we present a f…
Drivetrain simulation using variational autoencoders
Pallavi Sharma, Jorge-Humberto Urrea-Quintero, Bogdan Bogdan +4
This work proposes variational autoencoders (VAEs) to predict a vehicle's jerk signals from torque demand in the context of limited real-world drivetrain datasets. We implement bot…