The following pages link to Tensor-Train Decomposition (Q126157):
Displaying 50 items.
- On the Representation of Symmetric and Antisymmetric Tensors (Q4611814) (← links)
- Tensor Train Neighborhood Preserving Embedding (Q4622161) (← links)
- Exploiting Efficient Representations in Large-Scale Tensor Decompositions (Q4631411) (← links)
- Sampling-free Bayesian inversion with adaptive hierarchical tensor representations (Q4634763) (← links)
- Range-Separated Tensor Format for Many-Particle Modeling (Q4637674) (← links)
- Jacobi--Davidson Method on Low-Rank Matrix Manifolds (Q4637679) (← links)
- Petz recovery versus matrix reconstruction (Q4639371) (← links)
- A Practical Randomized CP Tensor Decomposition (Q4643335) (← links)
- Six-Dimensional Adaptive Simulation of the Vlasov Equations Using a Hierarchical Basis (Q4643811) (← links)
- Numerical tensor calculus (Q4683918) (← links)
- Tensor Algorithms for Advanced Sensitivity Metrics (Q4689171) (← links)
- Exploiting matrix symmetries and physical symmetries in matrix product states and tensor trains (Q4908163) (← links)
- A Low-Rank Solver for the Navier--Stokes Equations with Uncertain Viscosity (Q4960974) (← links)
- Real‐time iterative learning control‐two applications with time scales between years and nanoseconds (Q4967699) (← links)
- Existence of dynamical low-rank approximations to parabolic problems (Q4992232) (← links)
- Tensor Decomposition Methods for High-dimensional Hamilton--Jacobi--Bellman Equations (Q4997370) (← links)
- Functional Tucker Approximation Using Chebyshev Interpolation (Q4997399) (← links)
- Adaptive low-rank approximations for operator equations: Accuracy control and computational complexity (Q4998630) (← links)
- Efficient Construction of Tensor Ring Representations from Sampling (Q5006479) (← links)
- ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching (Q5027035) (← links)
- Parallel Algorithms for Tensor Train Arithmetic (Q5028405) (← links)
- Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank Determination (Q5037563) (← links)
- Adaptive singular value shrinkage estimate for low rank tensor denoising (Q5041692) (← links)
- Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format (Q5052901) (← links)
- (Q5053164) (← links)
- SOTT: Greedy Approximation of a Tensor as a Sum of Tensor Trains (Q5065504) (← links)
- Alternating Linear Scheme in a Bayesian Framework for Low-Rank Tensor Approximation (Q5075697) (← links)
- Approximating Optimal feedback Controllers of Finite Horizon Control Problems Using Hierarchical Tensor Formats (Q5084512) (← links)
- Automatic Differentiation for Riemannian Optimization on Low-Rank Matrix and Tensor-Train Manifolds (Q5094222) (← links)
- Performance of the Low-Rank TT-SVD for Large Dense Tensors on Modern MultiCore CPUs (Q5095475) (← links)
- Quantized Tensor FEM for Multiscale Problems: Diffusion Problems in Two and Three Dimensions (Q5099860) (← links)
- Stochastic Methods for Solving High-Dimensional Partial Differential Equations (Q5117925) (← links)
- An Adaptive Stochastic Galerkin Tensor Train Discretization for Randomly Perturbed Domains (Q5119643) (← links)
- Low-Rank Tensor Approximation for Chebyshev Interpolation in Parametric Option Pricing (Q5131414) (← links)
- Nonnegative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications (Q5143286) (← links)
- Multiresolution Low-rank Tensor Formats (Q5146611) (← links)
- Tensor Ring Decomposition: Optimization Landscape and One-loop Convergence of Alternating Least Squares (Q5146616) (← links)
- Tensor Train Construction From Tensor Actions, With Application to Compression of Large High Order Derivative Tensors (Q5146679) (← links)
- Tensor Completion via Gaussian Process--Based Initialization (Q5147973) (← links)
- Adaptive Hierarchical Subtensor Partitioning for Tensor Compression (Q5147989) (← links)
- Low-Rank Representation of Tensor Network Operators with Long-Range Pairwise Interactions (Q5147990) (← links)
- Time Integration of Tree Tensor Networks (Q5151923) (← links)
- Grid methods for Bayes-optimal continuous-discrete filtering and utilizing a functional tensor train representation (Q5152273) (← links)
- (Q5159466) (← links)
- (Q5159482) (← links)
- Cholesky-Based Experimental Design for Gaussian Process and Kernel-Based Emulation and Calibration (Q5163220) (← links)
- FFT-based Kronecker product approximation to micromagnetic long-range interactions (Q5166406) (← links)
- Algorithm 941 (Q5177207) (← links)
- A Low-Rank Tensor Method for PDE-Constrained Optimization with Isogeometric Analysis (Q5208738) (← links)
- A TT-Based Hierarchical Framework for Decomposing High-Order Tensors (Q5221033) (← links)
