Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

Note: We have recently found that Dora-VAE can specify tokens of any length during inference, even if this length has not been seen during training. During inference, you could use a latent code ...

A comprehensive Python-based machine learning solution for detecting anomalies in multivariate time series data from industrial IoT sensors. This solution identifies abnormal behavior patterns and ...

Abstract: We propose a Variational Autoencoder-based image reconstruction through a multimode optical fiber. Simulations under bending conditions achieved 96% accuracy, demonstrating the feasibility ...

Abstract: In multimode optical fiber imaging with variational autoencoder (VAE), deformation of the fiber after VAE training can significantly degrade image recovery performance. As a first step to ...