11 citations · 21 across the 4 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
stat.ML2023★ 7 cited
Generative Models for Anomaly Detection and Design-Space Dimensionality Reduction in Shape Optimization
Danny D'Agostino
Our work presents a novel approach to shape optimization, with the twofold objective to improve the efficiency of global optimization algorithms while promoting the generation of h…
cs.LG2023★ 11 cited
Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks
Danny D'Agostino, Ilija Ilievski, Christine Annette Shoemaker
Providing a model that achieves a strong predictive performance and is simultaneously interpretable by humans is one of the most difficult challenges in machine learning research d…