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

Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are ...

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 ...