Autoencoder Anomaly Detection Using PyTorch. Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are ...

This paper proposes a learning-based approach for reconstruction of global illumination with very low sampling budgets (as low as 1 spp) at interactive rates. At 1 sample per pixel (spp), the Monte ...

Serial-autoencoder for personalized recommendation. Higher Education Press . Journal Frontiers of Computer Science DOI 10.1007/s11704-023-2441-1 ...

“In the reconstruction ratio, the autoencoder takes the place of the PCA,” he adds. Autoencoders are not new in finance. They are designed to recognise patterns and identify exceptions, and have been ...

Bryan Lim, Stefan Zohren and Stephen Roberts propose a real-time indicator to detect temporary increases in asset co-movements that they call the autoencoder reconstruction ratio (ARR), which measures ...

By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani ...