Coupled cluster theory is considered to be the “gold standard” ansatz of...
We provide the first rigorous study of the finite-size error in the simp...
We consider the multiple testing of the general regression framework aim...
There have been several post-hoc explanation approaches developed to exp...
Conformal prediction aims to determine precise levels of confidence in
p...
We propose a staggered mesh method for correlation energy calculations o...
Sparse coding aims to model data vectors as sparse linear combinations o...
Despite decades of practice, finite-size errors in many widely used
elec...
The calculation of the MP2 correlation energy for extended systems can b...
We propose to apply a 2D CNN architecture to 3D MRI image Alzheimer's di...
In an iterative approach for solving linear systems with ill-conditioned...
Deep neural networks (DNNs) have become increasingly popular and achieve...
The generalized linear models (GLM) have been widely used in practice to...
Breast cancer is the malignant tumor that causes the highest number of c...
Automated methods for breast cancer detection have focused on 2D mammogr...
The statistical analysis of Randomized Numerical Linear Algebra (RandNLA...
Selecting relevant features associated with a given response variable is...
This paper presents an adaptive randomized algorithm for computing the
b...
Simultaneously finding multiple influential variables and controlling th...
We consider the problem of comparing probability densities between two
g...
Testing the hypothesis of parallelism is a fundamental statistical probl...
Click-through rate (CTR) prediction is a critical task in online adverti...