Pages that link to "Item:Q2269526"
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The following pages link to A new scheme for the tensor representation (Q2269526):
Displaying 50 items.
- A two-stage surrogate model for neo-Hookean problems based on adaptive proper orthogonal decomposition and hierarchical tensor approximation (Q2020966) (← links)
- Hybrid tensor decomposition in neural network compression (Q2057771) (← links)
- Tree-based tensor formats (Q2059130) (← links)
- Truncation of tensors in the hierarchical format (Q2059131) (← links)
- A proximal point like method for solving tensor least-squares problems (Q2070322) (← links)
- Tensor-based computation of metastable and coherent sets (Q2077619) (← links)
- Low-rank tensor methods for Markov chains with applications to tumor progression models (Q2105306) (← links)
- A low rank tensor representation of linear transport and nonlinear Vlasov solutions and their associated flow maps (Q2139008) (← links)
- Particle number conservation and block structures in matrix product states (Q2149943) (← links)
- On the closedness and geometry of tensor network state sets (Q2162500) (← links)
- Iterative low-rank approximation solvers for the extension method for fractional diffusion (Q2192560) (← links)
- A two-step accelerated Levenberg-Marquardt method for solving multilinear systems in tensor-train format (Q2196036) (← links)
- Stability of low-rank tensor representations and structured multilevel preconditioning for elliptic PDEs (Q2216250) (← links)
- HT-AWGM: a hierarchical Tucker-adaptive wavelet Galerkin method for high-dimensional elliptic problems (Q2216606) (← links)
- Quasioptimality of maximum-volume cross interpolation of tensors (Q2250929) (← links)
- Robust Schatten-\(p\) norm based approach for tensor completion (Q2291931) (← links)
- Variational Monte Carlo -- bridging concepts of machine learning and high-dimensional partial differential equations (Q2305540) (← links)
- Tensor train approximation of moment equations for elliptic equations with lognormal coefficient (Q2308598) (← links)
- Gradient-based optimization for regression in the functional tensor-train format (Q2312177) (← links)
- Non-intrusive tensor reconstruction for high-dimensional random PDEs (Q2324350) (← links)
- Tensor train spectral method for learning of hidden Markov models (HMM) (Q2324354) (← links)
- Approximate solution of linear systems with Laplace-like operators via cross approximation in the frequency domain (Q2324358) (← links)
- Tensor-train format solution with preconditioned iterative method for high dimensional time-dependent space-fractional diffusion equations with error analysis (Q2330680) (← links)
- Tensor representation of non-linear models using cross approximations (Q2333682) (← links)
- Stable als approximation in the TT-format for rank-adaptive tensor completion (Q2334620) (← links)
- Optimization on the hierarchical Tucker manifold - applications to tensor completion (Q2350002) (← links)
- Adaptive stochastic Galerkin FEM with hierarchical tensor representations (Q2364893) (← links)
- A low-rank approach to the computation of path integrals (Q2374948) (← links)
- Low rank tensor recovery via iterative hard thresholding (Q2400255) (← links)
- QTT-finite-element approximation for multiscale problems. I: Model problems in one dimension (Q2400487) (← links)
- Iterative methods based on soft thresholding of hierarchical tensors (Q2407677) (← links)
- On manifolds of tensors of fixed TT-rank (Q2428543) (← links)
- Approximation rates for the hierarchical tensor format in periodic Sobolev spaces (Q2442808) (← links)
- An equi-directional generalization of adaptive cross approximation for higher-order tensors (Q2448363) (← links)
- A projector-splitting integrator for dynamical low-rank approximation (Q2450891) (← links)
- Randomized algorithms for the approximations of Tucker and the tensor train decompositions (Q2631991) (← links)
- MERACLE: constructive layer-wise conversion of a tensor train into a MERA (Q2667352) (← links)
- A parallel low-rank solver for the six-dimensional Vlasov-Maxwell equations (Q2675624) (← links)
- Analysis of tensor approximation schemes for continuous functions (Q2684464) (← links)
- Parallel cross interpolation for high-precision calculation of high-dimensional integrals (Q2698750) (← links)
- Multigrid methods for tensor structured Markov chains with low rank approximation (Q2790081) (← links)
- Adaptive low-rank methods: problems on Sobolev spaces (Q2796861) (← links)
- Regularized computation of approximate pseudoinverse of large matrices using low-rank tensor train decompositions (Q2806190) (← links)
- The tensor track, III (Q2812630) (← links)
- Spectral tensor-train decomposition (Q2818241) (← links)
- Parallel ALS algorithm for solving linear systems in the hierarchical Tucker representation (Q2818248) (← links)
- Adaptive low-rank methods for problems on Sobolev spaces with error control in \(\mathrm{L}_{2}\) (Q2820345) (← links)
- A literature survey of low-rank tensor approximation techniques (Q2864808) (← links)
- Tensor Approximation of Stationary Distributions of Chemical Reaction Networks (Q2947055) (← links)
- A preconditioned low-rank CG method for parameter-dependent Lyapunov matrix equations (Q2948076) (← links)
