11 citations · 21 across the 4 of their papers we have counts for
4 papers
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…
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…
An Efficient Global Optimization Algorithm with Adaptive Estimates of the Local Lipschitz Constants
Danny D'Agostino
In this work, we present a new deterministic partition-based global optimization algorithm, HALO (Hybrid Adaptive Lipschitzian Optimization), which uses estimates of the local Lips…
Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State
Danny D'Agostino, Andrea Serani, Frederick Stern +1
The prediction capability of recurrent-type neural networks is investigated for real-time short-term prediction (nowcasting) of ship motions in high sea state. Specifically, the pe…