Search Results for author:
Found 2 papers, 1 papers with code
Machine Learning in Aerodynamic Shape Optimization
We review the applications of ML in ASO to date and provide a perspective on the state-of-the-art and future directions.
Learning High-Dimensional Parametric Maps via Reduced Basis Adaptive Residual Networks
We propose a scalable framework for the learning of high-dimensional parametric maps via adaptively constructed residual network (ResNet) maps between reduced bases of the inputs and outputs.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
