It is widely recognized that the generalization ability of neural networ...
It is well known that the finite step-size (h) in Gradient Descent (GD)
...
The remarkable successes of neural networks in a huge variety of inverse...
We constructively show, via rigorous mathematical arguments, that GNN
ar...
Given a diagonalizable matrix A, we study the stability of its invariant...
Image matting is an important computer vision problem. Many existing mat...
Thanks to the combination of state-of-the-art accelerators and highly
op...
Let A _max := max_i,j |A_i,j| denote the maximum magnitude of
entries of...
Singular vector perturbation is an important topic in numerical analysis...
More personal consumer loan products are emerging in mobile banking APP....
Communication compression has been extensively adopted to speed up
large...
In this paper, we propose the first adaptive quantization method for dir...
This paper extends robust principal component analysis (RPCA) to nonline...
We provide a rigorous mathematical treatment to the crowding issue in da...