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Local convergence of alternating low-rank optimization methods with overrelaxation., , and . CoRR, (2021)Tensor rank bounds and explicit QTT representations for the inverses of circulant matrices., and . CoRR, (2022)Low-rank Riemannian eigensolver for high-dimensional Hamiltonians., , and . J. Comput. Phys., (2019)Towards Practical Control of Singular Values of Convolutional Layers., , , and . NeurIPS, (2022)Low rank tensor approximation of singularly perturbed partial differential equations in one dimension., , and . CoRR, (2020)Automatic Differentiation for Riemannian Optimization on Low-Rank Matrix and Tensor-Train Manifolds., , and . SIAM J. Sci. Comput., 44 (2): 843- (2022)Quantized Tensor FEM for Multiscale Problems: Diffusion Problems in Two and Three Dimensions., , , and . Multiscale Model. Simul., 20 (3): 893-935 (September 2022)Local convergence of alternating low-rank optimization methods with overrelaxation., , and . Numer. Linear Algebra Appl., (May 2023)Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation., , , , , and . ICCV, page 11406-11415. IEEE, (2021)Tensor Rank bounds for Point Singularities in R3., , and . CoRR, (2019)