Welcome to pyttb, a refactor of the Tensor Toolbox for MATLAB in Python. This package contains data classes and methods for manipulating dense, sparse, and structured tensors, along with algorithms ...

Abstract: Low-rank tensor completion aims to recover the missing entries of multi-way data, which has become popular and vital in many fields such as signal processing and computer vision. It varies ...

Abstract: Among various sensor array configurations, the L-shaped nested array offers improved performance for 2-D direction-of-arrival (DOA) estimation through co-array processing. However, ...

Python library for differentiable linear algebra with block-sparse tensors, supporting abelian symmetries. It supports a range of Projected Entangled Pair States (PEPS) and Matrix Product States (MPS) ...

Database engines have historically absorbed many of the innovations in data processing, adding features to process graph data, XML, object oriented, and text among many others. In this paper, we make ...