We have 3 of 40 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
The main innovation of the proposed BTW model lies in introducing a structured sparsity prior into TW decomposition, which enables automatic TW-rank determination during Bayesian inference, eliminating the need for cumbersome manual rank selection.
The main finding is that a frozen parent's recursive trajectory is easier to fit than the observed future with lightweight parallel exits, and a correctable residual projection along a train-selected periodic history direction is found.
A robust non-parametric Bayesian method known as the Bayesian adaptive tensor ring decomposition (BATR) method, which accomplishes an adaptive low tensor ring (TR) rank model by incorporating a more advanced generalized hyperbolic (GH) prior into the probabilistic framework, thereby facilitating automatic TR rank deter...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
