Keywords: deep learning, data science, tensors, deep networks, tensor methods, matrix factorization, training deep models Important note: All contributions to this Research Topic must be within the ...

Abstract: We present an approach to tensor compression and decomposition, as well as to a design of data processing algorithms on the top of them. Our implementation uses the popular scalable data ...

Ready Tensor’s benchmarking study categorized the 25 evaluated models into three main types: Machine Learning (ML) models, ... Kharagpur. He is passionate about data science and machine learning, ...

Under the context of the virtual time evolution tensor network algorithm established in the graded projection entangled pair state (gPEPS) representation of the two-dimensional strongly correlated ...