As one of the central tasks in machine learning, regression finds lots o...
Deep learning systems have been reported to achieve state-of-the-art
per...
Inspired by alternating direction method of multipliers and the idea of
...
In this paper, we consider the problem of designing optimal pooling matr...
We consider a novel method to increase the reliability of COVID-19 virus...
We consider the theoretical problem of designing an optimal adversarial
...
Coronavirus disease 2019 (COVID-19) is an ongoing pandemic infectious di...
Recent works have demonstrated the existence of adversarial examples
ta...
Deep-learning based classification algorithms have been shown to be
susc...
We present a simple hypothesis about a compression property of artificia...
This paper considers the problem of recovering signals from compressed
m...
Low-rank matrix recovery has found many applications in science and
engi...