Gian Antonio Susto

Greedy Search Algorithms for Unsupervised Variable Selection: A Comparative Study.

2021 · arXiv (Cornell University)

Dimensionality reduction is a important step in the development of scalable and interpretable data-driven models, especially when there are a large number of candidate variables. This paper focuses on unsupervised variable selection based dimensionality reduction, …

Time-Series Deep Learning Anomaly Detection for Particle Accelerators

2023 · IFAC-PapersOnLine

High energy particle accelerators rely on superconducting radio frequency cavities to transfer energy and accelerate the beam. Such particle accelerators are complex and expensive systems prone to failures which lead to downtime of the whole …