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Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition, , , , and . (2014)cite arxiv:1412.6553.Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks, and . Proceedings of the 10th ACM Conference on Recommender Systems, page 91--98. New York, NY, USA, ACM, (2016)Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives, , , , , , and . Foundations and Trends® in Machine Learning, 9 (6): 249--429 (2017)Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions, , , , , and . Foundations and Trends® in Machine Learning, 9 (4-5): 249--429 (2016)The Shape of Data: Intrinsic Distance for Data Distributions, , , , , , and . International Conference on Learning Representations, (2020)Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones?, , , , , , , and . Comput. Chem. Eng., (2021)Tensor methods and recommender systems., and . WIREs Data Mining Knowl. Discov., (2017)Solution of the Fokker-Planck Equation by Cross Approximation Method in the Tensor Train Format., and . Frontiers Artif. Intell., (2021)Object-Based Augmentation Improves Quality of Remote SensingSemantic Segmentation., , , , , and . CoRR, (2021)PROTES: Probabilistic Optimization with Tensor Sampling., , , and . CoRR, (2023)