58 citations · 65 across the 5 of their papers we have counts for
6 papers
Tomography by Design: An Algebraic Approach to Low-Rank Quantum States
Shakir Showkat Sofi, Charlotte Vermeylen, Lieven De Lathauwer
We present an algebraic algorithm for quantum state tomography that leverages measurements of certain observables to estimate structured entries of the underlying density matrix. U…
Tensor Train Completion from Fiberwise Observations Along a Single Mode
Shakir Showkat Sofi, Lieven De Lathauwer
Tensor completion is an extension of matrix completion aimed at recovering a multiway data tensor by leveraging a given subset of its entries (observations) and the pattern of obse…
Tensor Train Quantum State Tomography using Compressed Sensing
Shakir Showkat Sofi, Charlotte Vermeylen, Lieven De Lathauwer
Quantum state tomography (QST) is a fundamental technique for estimating the state of a quantum system from measured data and plays a crucial role in evaluating the performance of…
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation
Pooya Ashtari, Diana M. Sima, Lieven De Lathauwer +3
Convolutional Neural Networks (CNNs) with U-shaped architectures have dominated medical image segmentation, which is crucial for various clinical purposes. However, the inherent lo…
Early soft and flexible fusion of EEG and fMRI via tensor decompositions
Christos Chatzichristos, Eleftherios Kofidis, Lieven De Lathauwer +2
Data fusion refers to the joint analysis of multiple datasets which provide complementary views of the same task. In this preprint, the problem of jointly analyzing electroencephal…
From computation to comparison of tensor decompositions
Ignat Domanov, Lieven De Lathauwer
Decompositions of higher-order tensors into sums of simple terms are ubiquitous. We show that in order to verify that two tensors are generated by the same (possibly scaled) terms…