The following pages link to Tensor-Train Decomposition (Q126157):
Displaying 46 items.
- Exponential family tensor completion with auxiliary information (Q6541587) (← links)
- Randomized tensor wheel decomposition (Q6551213) (← links)
- A random sampling algorithm for fully-connected tensor network decomposition with applications (Q6552670) (← links)
- Computing statistical moments via tensorization of polynomial chaos expansions (Q6554968) (← links)
- Randomized low-rank approximation methods for projection-based model order reduction of large nonlinear dynamical problems (Q6555374) (← links)
- SVD-based algorithms for fully-connected tensor network decomposition (Q6563146) (← links)
- Quasi-orthogonalization for alternating non-negative tensor factorization (Q6572627) (← links)
- One-dimensional tensor network recovery (Q6577446) (← links)
- Which constraints of a numerical problem cause ill-conditioning? (Q6586802) (← links)
- Approximation in the extended functional tensor train format (Q6587236) (← links)
- On mathematical models of COVID-19 pandemic (Q6587454) (← links)
- Incremental quaternion singular value decomposition and its application for low rank quaternion matrix completion (Q6590214) (← links)
- Iterative methods for solving tensor equations based on exponential acceleration (Q6590592) (← links)
- TIHN: tensor improved huber norm for low-rank tensor recovery (Q6591742) (← links)
- Sketch-based multiplicative updating algorithms for symmetric nonnegative tensor factorizations with applications to face image clustering (Q6593833) (← links)
- Gauging tensor networks with belief propagation (Q6598145) (← links)
- Algorithm 1036: ATC, an advanced Tucker compression library for multidimensional data (Q6601378) (← links)
- A tensor train approach for internet traffic data completion (Q6601544) (← links)
- The generalized tensor decomposition with heterogeneous tensor product for third-order tensors (Q6604510) (← links)
- Taming numerical imprecision by adapting the KL divergence to negative probabilities (Q6606973) (← links)
- Quaternion tensor left ring decomposition and application for color image inpainting (Q6608072) (← links)
- A fast algorithm for rank-\((L, M, N)\) block term decomposition of multi-dimensional data (Q6608123) (← links)
- Denoising convolution algorithms and applications to SAR signal processing (Q6610135) (← links)
- Mini-workshop: Nonlinear approximation of high-dimensional functions in scientific computing. Abstracts from the mini-workshop held October 15--20, 2023 (Q6613392) (← links)
- Forecasting systemic risk of China's banking industry by partial differential equations model and complex network (Q6613452) (← links)
- Krylov-based adaptive-rank implicit time integrators for stiff problems with application to nonlinear Fokker-Planck kinetic models (Q6615725) (← links)
- Approximating the stationary Bellman equation by hierarchical tensor products (Q6616995) (← links)
- Multivariate varying-coefficient models via tensor decomposition (Q6621323) (← links)
- Kronecker product of tensors and hypergraphs: structure and dynamics (Q6623659) (← links)
- Coseparable nonnegative tensor factorization with t-CUR decomposition (Q6623666) (← links)
- A multilinear Nyström algorithm for low-rank approximation of tensors in Tucker format (Q6623671) (← links)
- Robust iterative method for symmetric quantum signal processing in all parameter regimes (Q6623711) (← links)
- SVD-based algorithms for tensor wheel decomposition (Q6624467) (← links)
- Nonlinear hierarchical matrix factorization-based tensor ring approximation for multi-dimensional image recovery (Q6629208) (← links)
- Robust Low-Rank Tensor Decomposition with the L <sub>2</sub> Criterion (Q6631163) (← links)
- A local macroscopic conservative (LoMaC) low rank tensor method for the Vlasov dynamics (Q6635788) (← links)
- Quantum computing and tensor networks for laminate design: a novel approach to stacking sequence retrieval (Q6641922) (← links)
- Cross interpolation for solving high-dimensional dynamical systems on low-rank Tucker and tensor train manifolds (Q6643547) (← links)
- \textit{koopmon} trajectories in nonadiabatic quantum-classical dynamics (Q6644355) (← links)
- Fully-connected tensor network decomposition and group sparsity for multitemporal images cloud removal (Q6648732) (← links)
- Estimates for the quantized tensor train ranks for the power functions (Q6649057) (← links)
- Collocation methods for nonlinear differential equations on low-rank manifolds (Q6650595) (← links)
- Fredholm integral equations for function approximation and the training of neural networks (Q6655076) (← links)
- Uncertainty propagation of initial conditions in thermal models (Q6655263) (← links)
- Tracking tensor ring decompositions of streaming tensors (Q6659771) (← links)
- Non-local and fully connected tensor network decomposition for remote sensing image denoising (Q6662398) (← links)
