IEEE

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer

Abstract: In this work, we propose a novel variational Bayesian adaptive learning approach for cross-domain knowledge transfer to address acoustic mismatches between training and testing conditions, ...
IEEE

Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations

Abstract: This article considers the application of variational Bayesian methods to joint recursive estimation of the dynamic state and the time-varying measurement noise parameters in linear state ...
Frontiers

Quantum computing: foundations, algorithms, and emerging applications

Quantum computing is an emerging paradigm that leverages the principles of quantum mechanics to solve computational problems beyond the reach of classical computers. This article provides an overview ...
GitHub

Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature Selection

This repository contains the source code used to produce the results obtained in Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature Selection submitted to Journal of ...