161 results on '"Oseledets, I. V."'
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2. Spectral Neural Operators
3. Trusted Artificial Intelligence: Challenges and Promising Solutions
4. Fundamental Research and Developments in the Field of Applied Artificial Intelligence
5. eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI
6. Gradient Descent-based D-optimal Design for the Least-Squares Polynomial Approximation
7. AA-ICP: Iterative Closest Point with Anderson Acceleration
8. Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives
9. Robust regularization of topology optimization problems with a posteriori error estimators
10. Robust discretization in quantized tensor train format for elliptic problems in two dimensions
11. Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1
12. New Applications of Matrix Methods
13. TT-QI: Faster Value Iteration in Tensor Train Format for Stochastic Optimal Control
14. Overview of Visualization Methods for Artificial Neural Networks
15. Structuring Data with Block Term Decomposition: Decomposition of Joint Tensors and Variational Block Term Decomposition as a Parametrized Mixture Distribution Model
16. A low-rank approach to the computation of path integrals
17. Fast low-rank approximations of multidimensional integrals in ion-atomic collisions modelling
18. Rectangular maximum-volume submatrices and their applications
19. Linear complexity SimRank computation based on the iterative diagonal estimation
20. Algebraic reputation model RepRank and its application to spambot detection
21. From low-rank approximation to an efficient rational Krylov subspace method for the Lyapunov equation
22. Fast, memory efficient low-rank approximation of SimRank
23. Fast multidimensional convolution in low-rank formats via cross approximation
24. Iterative representing set selection for nested cross approximation
25. Fast low-rank solution of the Poisson equation with application to the Stokes problem
26. Empirical Study of Extreme Overfitting Points of Neural Networks
27. Using Reinforcement Learning in the Algorithmic Trading Problem
28. Wedderburn rank reduction and Krylov subspace method for tensor approximation. Part 1: Tucker case
29. eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI
30. Low-rank retractions: a survey and new results
31. Constructive Representation of Functions in Low-Rank Tensor Formats
32. Linear algebra for tensor problems
33. Integration of oscillating functions in a quasi-three-dimensional electrodynamic problem
34. Minimization methods for approximating tensors and their comparison
35. Use of Divided Differences and B Splines for Constructing Fast Discrete Transforms of Wavelet Type on Nonuniform Grids
36. How to Find a Good Submatrix
37. Recursive decomposition of multidimensional tensors
38. Rectangular submatrices of maximum volume and their computation
39. Approximation of matrices with logarithmic number of parameters
40. The tensor structure of the inverse of a banded Toeplitz matrix
41. A new tensor decomposition
42. Approximation of Toeplitz matrices by sums of circulants and small-rank matrices
43. Convergence analysis of projected fixed-point iteration on a low-rank matrix manifold
44. Jacobi--Davidson Method on Low-Rank Matrix Manifolds
45. Iterative representing set selection for nested cross approximation
46. Fast low-rank approximations of multidimensional integrals in ion-atomic collisions modelling
47. Fast Multidimensional Convolution in Low-Rank Tensor Formats via Cross Approximation
48. From Low-Rank Approximation to a Rational Krylov Subspace Method for the Lyapunov Equation
49. Low-rank retractions: a survey and new results
50. Fast, memory-efficient low-rank approximation of SimRank.
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