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

Abstract: The hyperspectral anomaly detection (HAD) aims to identify potential anomalies from complex backgrounds. Most reconstruction-based autoencoders equally treat background pixels and anomalies ...

This paper proposes Synonymous Variational Inference, a novel variational inference that first theoretically explains the core reason for the divergence term’s ...

Abstract: Recently masked autoencoder (MAE) has achieved great success in visual representation learning and delivered promising potential in many downstream vision tasks. However, due to the lack of ...

We introduce ACE-Step, a novel open-source foundation model for music generation that overcomes key limitations of existing approaches and achieves state-of-the-art performance through a holistic ...