3 papers
cs.CE2025
Towards Generative Design Using Optimal Transport for Shape Exploration and Solution Field Interpolation
Sergio Torregrosa, David Munoz, Hector Navarro +2
Generative Design (GD) combines artificial intelligence (AI), physics-based modeling, and multi-objective optimization to autonomously explore and refine engineering designs. Despi…
cs.CE2025
A Reduced Order Model conditioned on monitoring features for estimation and uncertainty quantification in engineered systems
Konstantinos Vlachas, Thomas Simpson, Anthony Garland +3
Reduced Order Models (ROMs) form essential tools across engineering domains by virtue of their function as surrogates for computationally intensive digital twinning simulators. Alt…
cs.LG2025
Rank Reduction Autoencoders
Jad Mounayer, Sebastian Rodriguez, Chady Ghnatios +2
The choice of an appropriate bottleneck dimension and the application of effective regularization are both essential for Autoencoders to learn meaningful representations from unlab…