IEEE

Variational Bayesian inference -Based Maximum Correntropy Kalman Filtering for Visual Tracking with Unknown Process and measurement Noise

Abstract: The paper proposes a new Kalman filtering (KF) algorithm called VBI-MCKF that combines the variational Bayesian inference (VBI)-based KF algorithm and the maximum correntropy KF (MCKF) for ...
IEEE

VINP: Variational Bayesian Inference With Neural Speech Prior for Joint ASR-Effective Speech Dereverberation and Blind RIR Identification

Abstract: Reverberant speech, denoting the speech signal degraded by reverberation, contains crucial knowledge of both anechoic source speech and room impulse response (RIR). This work proposes a ...
GitHub

variational Bayesian Transcriptional Regulators explorer

This package is part of the manuscript: "TRex Defines High-Resolution Pan-Cancer Atlas of Transcriptional Regulators to Reveal Oncogenic Regulatory Programs" TRex is an enhanced version of the ...
INSPIRE

Variational two and three particle solutions of the relativistic Yukawa model

The variational method, within the Hamiltonian formalism of quantum field theory, is used to derive momentum space wave equations for any number of fermions interacting via a massive scalar field.