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Found 4 papers, 4 papers with code
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives
Part 2 of this monograph builds on the introduction to tensor networks and their operations presented in Part 1.
Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1
Machine learning and data mining algorithms are becoming increasingly important in analyzing large volume, multi-relational and multi--modal datasets, which are often conveniently represented as multiway arrays or tensors.
Numerical Analysis
Linear complexity SimRank computation based on the iterative diagonal estimation
This paper presents a deterministic linear time complexity IDE-SimRank method to approximately compute SimRank with proved error bound.
Data Structures and Algorithms Numerical Analysis Numerical Analysis
Fast multidimensional convolution in low-rank formats via cross approximation
We propose a new cross-conv algorithm for approximate computation of convolution in different low-rank tensor formats (tensor train, Tucker, Hierarchical Tucker).
Numerical Analysis 15A69, 15B05, 44A35, 65F99
