3 papers
cs.CE2026
Analysis of trade-offs in urban heat mitigation using a Bayesian Optimization framework for an urban canopy layer model
Rebekka Walter, Johanna Gelhaus, David Anton +2
To mitigate the challenges of climate change and intensifying heat stress in urban areas, local adaptation strategies are discussed and introduced in cities worldwide. To understan…
cs.LG2025
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…
cs.LG2025
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…