The following pages link to Tensor-Train Decomposition (Q126157):
Displaying 50 items.
- Pass-efficient randomized LU algorithms for computing low-rank matrix approximation (Q6073724) (← links)
- Streaming Tensor Train Approximation (Q6074548) (← links)
- Simultaneous inversion for a fractional order and a time source term in a time-fractional diffusion-wave equation (Q6080349) (← links)
- Auto-weighted robust low-rank tensor completion via tensor-train (Q6081292) (← links)
- An efficient randomized fixed-precision algorithm for tensor singular value decomposition (Q6085323) (← links)
- Fast preconditioned iterative methods for fractional Sturm–Liouville equations (Q6087786) (← links)
- Fully-connected tensor network decomposition for robust tensor completion problem (Q6087983) (← links)
- Challenges of order reduction techniques for problems involving polymorphic uncertainty (Q6088632) (← links)
- An efficient recursive identification algorithm for multilinear systems based on tensor decomposition (Q6092365) (← links)
- Geometry of tree-based tensor formats in tensor Banach spaces (Q6093328) (← links)
- Parallel approximation of multidimensional tensors using GPUs (Q6094422) (← links)
- Tensor product approach to modelling epidemics on networks (Q6095052) (← links)
- Tensor rank reduction via coordinate flows (Q6095127) (← links)
- Black Box Approximation in the Tensor Train Format Initialized by ANOVA Decomposition (Q6095435) (← links)
- Parallel Algorithms for Computing the Tensor-Train Decomposition (Q6097870) (← links)
- Computing Solution Space Properties of Combinatorial Optimization Problems Via Generic Tensor Networks (Q6098526) (← links)
- Practical sketching algorithms for low-rank Tucker approximation of large tensors (Q6101551) (← links)
- Numerical solution of the Boltzmann equation with S-model collision integral using tensor decompositions (Q6104210) (← links)
- The tensor-train mimetic finite difference method for three-dimensional Maxwell's wave propagation equations (Q6104748) (← links)
- Divide-and-conquer solver in tensor-train format for \(d\)-dimensional time-space fractional diffusion equations (Q6111406) (← links)
- Study of performance of low-rank nonnegative tensor factorization methods (Q6116764) (← links)
- Iterative tensor eigen rank minimization for low-rank tensor completion (Q6125187) (← links)
- On the stability of discrete-time homogeneous polynomial dynamical systems (Q6125418) (← links)
- Artificial intelligence for COVID-19 spread modeling (Q6126477) (← links)
- Adaptive tensor networks decomposition for high-order tensor recovery and compression (Q6127129) (← links)
- Incremental algorithms for truncated higher-order singular value decompositions (Q6139252) (← links)
- A randomized algorithm for tensor singular value decomposition using an arbitrary number of passes (Q6143819) (← links)
- Preconditioners for Krylov subspace methods: An overview (Q6144043) (← links)
- Low‐rank linear fluid‐structure interaction discretizations (Q6149412) (← links)
- A neural tensor decomposition model for high-order sparse data recovery (Q6153224) (← links)
- Pricing High-Dimensional Bermudan Options with Hierarchical Tensor Formats (Q6159076) (← links)
- Tensor networks in machine learning (Q6160060) (← links)
- On computing high-dimensional Riemann theta functions (Q6163181) (← links)
- A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion (Q6168342) (← links)
- Data-driven reduced order models using invariant foliations, manifolds and autoencoders (Q6168858) (← links)
- TR-STF: a fast and accurate tensor ring decomposition algorithm via defined scaled tri-factorization (Q6172876) (← links)
- Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems (Q6173517) (← links)
- Tensor Robust Principal Component Analysis via Tensor Fibered Rank and \({\boldsymbol{{l_p}}}\) Minimization (Q6173530) (← links)
- High-dimensional density estimation with tensorizing flow (Q6173686) (← links)
- A Corrected Tensor Nuclear Norm Minimization Method for Noisy Low-Rank Tensor Completion (Q6176008) (← links)
- Low-tubal-rank tensor completion via local and nonlocal knowledge (Q6180016) (← links)
- Variational Bayesian inference for CP tensor completion with subspace information (Q6180798) (← links)
- Provable stochastic algorithm for large-scale fully-connected tensor network decomposition (Q6184280) (← links)
- Optimality conditions for Tucker low-rank tensor optimization (Q6188055) (← links)
- Deep Importance Sampling Using Tensor Trains with Application to a Priori and a Posteriori Rare Events (Q6189161) (← links)
- A Conservative Low Rank Tensor Method for the Vlasov Dynamics (Q6189170) (← links)
- Internet traffic tensor completion with tensor nuclear norm (Q6492444) (← links)
- Efficient quadratures for high-dimensional Bayesian data assimilation (Q6498479) (← links)
- Imposing different boundary conditions for thermal computational homogenization problems with FFT- and tensor-train-based Green's operator methods (Q6499901) (← links)
- Enhanced Low-Rank Tensor Recovery Fusing Reweighted Tensor Correlated Total Variation Regularization for Image Denoising (Q6500188) (← links)
