Scientific Research Publishing

Machine Learning for Financial Risk Management: Modeling Time-Varying Factor Sensitivities Using Factor Variational Autoencoders ()

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

Blind Polarisation Demultiplexing and Carrier Recovery Using FIR-based Variational AutoEncoder Equaliser for Probabilistic Constellation Shaping in Optical Fibre Communications

Abstract: We investigate through simulations the potential of Finite Impulse Response (FIR)-based Variational AutoEncoder-inspired (VAE-FIR) equaliser for polarisation demultiplexing, Carrier Phase ...
GitHub

A Step Towards Music Generation Foundation Model

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 ...
IEEE

Prior Distribution Guided Gaussian Mixture Variational Autoencoder (PDGM-VAE) for Image Generation

Abstract: Variational Autoencoder(VAE) combines the ideas of autoencoders and variational inference, introducing the concept of latent space and variational inference to endow autoencoders to generate ...
C&EN

Multigas TDLAS Detection Based on Variational Mode Decomposition: Frequency Division, Filtering and Interference Noise Removal

State Key Laboratory of High Power Semiconductor Laser, Changchun University of Science and Technology, Changchun 130022, China ...
Phys.org

Generative AI designs compounds that can kill drug-resistant bacteria

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant ...