GitHub

Matrix-based Rank Adaptation (MoRA) in Python.md

Matrix-based Rank Adaptation (MoRA) is a technique used in information retrieval (IR) to improve the ranking of search results by incorporating term-term similarity information. It aims to enhance the ...
IEEE

Matrix full rank, Controllability and Observability: Revisit Basic Concepts

Abstract: In control theory using the state-space method, it is often assumed that a matrix is of full rank to further mathematical development. Few people stop to ask two questions: (1) How far is ...
PNAS

Linear Recursive Feature Machines provably recover low-rank matrices

Understanding the mechanism of how neural networks learn features from data is a fundamental problem in machine learning. Our work explicitly connects the mechanism of neural feature learning to a ...
JSTOR Daily

On Rank Estimation in Symmetric Matrices: The Case of Indefinite Matrix Estimators

This is a preview. Log in through your library . Abstract In this paper we consider estimating the rank of an unknown symmetric matrix based on a symmetric, asymptotically normal estimator of the ...
Frontiers

Assessment of reconstruction accuracy for under-sampled 31P-MRS data using compressed sensing and a low rank Hankel matrix completion approach

1 Tecnologico de Monterrey, School of Engineering and Sciences, Mexico City, Mexico 2 Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada Figure 1. Three types of 31 P-MRS ...