Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: a parallel parafac implementation & scalability testing for large - scale dense tensor decomposition .
ParCube: sparse parallelizable tensor decompositions
Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations
MACH: Fast Randomized Tensor Decompositions
Fast Alternating LS Algorithms for High Order CANDECOMP/PARAFAC Tensor Factorizations
Fundamental Tensor Operations for Large-Scale Data Analysis in Tensor Train Formats
LFTF: A Framework for Efficient Tensor Analytics at Scale
Accelerating Online CP Decompositions for Higher Order Tensors
Beyond Low Rank + Sparse: Multi-scale Low Rank Matrix Decomposition
LIBMF: a library for parallel matrix factorization in shared-memory systems
Breaking the Curse of Dimensionality Using Decompositions of Incomplete Tensors: Tensor-based scientific computing in big data analysis
Efficient tensor completion: Low-rank tensor train
A Unified Optimization Approach for Sparse Tensor Operations on GPUs
SCouT: Scalable coupled matrix-tensor factorization - algorithm and discoveries
Powers of Tensors and Fast Matrix Multiplication
A fast parallel SGD for matrix factorization in shared memory systems
Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm
Hierarchical Singular Value Decomposition of Tensors
A Practical Randomized CP Tensor Decomposition
Scheduling a Parallel Sparse Direct Solver to Multiple GPUs
Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems
An automated timeline reconstruction approach for digital forensic investigations
Fast gradient-descent methods for temporal-difference learning with linear function approximation
The management of testicular masses and acute scrotal pain.
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Investigation of Advanced Dicing Technologies for Ultra Low-k and 3D Integration