The following pages link to Ivan Oseledets (Q245758):
Displaying 50 items.
- Growing axons: greedy learning of neural networks with application to function approximation (Q2689211) (← links)
- Engineering optimization with the fast boundary element method (Q2811633) (← links)
- Wedderburn rank reduction and Krylov subspace method for tensor approximation. I: Tucker case (Q2882777) (← links)
- Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions (Q2988016) (← links)
- Approximation of $2^d\times2^d$ Matrices Using Tensor Decomposition (Q3053139) (← links)
- (Q3084840) (← links)
- (Q3086656) (← links)
- QTT approximation of elliptic solution operators in higher dimensions (Q3087110) (← links)
- Cross approximation in tensor electron density computations (Q3090807) (← links)
- Algebraic Wavelet Transform via Quantics Tensor Train Decomposition (Q3103516) (← links)
- Breaking the Curse of Dimensionality, Or How to Use SVD in Many Dimensions (Q3162128) (← links)
- From Low-Rank Approximation to a Rational Krylov Subspace Method for the Lyapunov Equation (Q3456876) (← links)
- Lower bounds for separable approximations of the Hilbert kernel (Q3508630) (← links)
- Fast Simultaneous Orthogonal Reduction to Triangular Matrices (Q3561160) (← links)
- (Q3652463) (← links)
- Convergence analysis of projected fixed‐point iteration on a low‐rank matrix manifold (Q4558698) (← links)
- Alternating Least Squares as Moving Subspace Correction (Q4562238) (← links)
- ``Compress and Eliminate” Solver for Symmetric Positive Definite Sparse Matrices (Q4568105) (← links)
- Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives (Q4593746) (← links)
- Jacobi--Davidson Method on Low-Rank Matrix Manifolds (Q4637679) (← links)
- Matrix approximations and solvers using tensor products and non-standard wavelet transforms related to irregular grids (Q4821641) (← links)
- Low-Rank Tensor Structure of Solutions to Elliptic Problems with Jumping Coefficients (Q4900520) (← links)
- Solution of Linear Systems and Matrix Inversion in the TT-Format (Q4903739) (← links)
- Fast Solution of Parabolic Problems in the Tensor Train/Quantized Tensor Train Format with Initial Application to the Fokker--Planck Equation (Q4908651) (← links)
- Fast, memory-efficient low-rank approximation of SimRank (Q4985055) (← links)
- Active Subspace of Neural Networks: Structural Analysis and Universal Attacks (Q5037556) (← links)
- Quantized Tensor FEM for Multiscale Problems: Diffusion Problems in Two and Three Dimensions (Q5099860) (← links)
- Tensor Completion via Gaussian Process--Based Initialization (Q5147973) (← links)
- Time Integration of Tensor Trains (Q5253597) (← links)
- Fast Multidimensional Convolution in Low-Rank Tensor Formats via Cross Approximation (Q5254416) (← links)
- Improved n-Term Karatsuba-Like Formulas in GF(2) (Q5280555) (← links)
- (Q5317969) (← links)
- Tucker Dimensionality Reduction of Three-Dimensional Arrays in Linear Time (Q5320719) (← links)
- Desingularization of Bounded-Rank Matrix Sets (Q5373921) (← links)
- (Q5448153) (← links)
- Fast low‐rank approximations of multidimensional integrals in ion‐atomic collisions modelling (Q5739747) (← links)
- Iterative representing set selection for nested cross approximation (Q5739759) (← links)
- Preconditioners for hierarchical matrices based on their extended sparse form (Q5962823) (← links)
- Black Box Approximation in the Tensor Train Format Initialized by ANOVA Decomposition (Q6095435) (← links)
- Minimization methods for approximating tensors and their comparison (Q6119534) (← links)
- Spectral neural operators (Q6124382) (← links)
- Local convergence of alternating low‐rank optimization methods with overrelaxation (Q6133038) (← links)
- Tensor networks in machine learning (Q6160060) (← links)
- Convergence analysis of projected fixed-point iteration on a low-rank matrix manifold (Q6272307) (← links)
- Deep Multigrid: learning prolongation and restriction matrices (Q6293788) (← links)
- QTT-isogeometric solver in two dimensions (Q6297475) (← links)
- Practical shift choice in the shift-and-invert Krylov subspace evaluations of the matrix exponential (Q6326158) (← links)
- Growing axons: greedy learning of neural networks with application to function approximation (Q6328017) (← links)
- Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones? (Q6358826) (← links)
- Extension of Dynamic Mode Decomposition for dynamic systems with incomplete information based on t-model of optimal prediction (Q6391940) (← links)
