Functional Transform-Based Low-Rank Tensor Factorization for Multi-dimensional Data Recovery

J Wang, X Zhao - European Conference on Computer Vision, 2024 - Springer
Recently, the transform-based low-rank tensor factorization (t-LRTF) has emerged as a
promising tool for multi-dimensional data recovery. However, the discrete transforms along …
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Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization

M Persiianov, A Asadulaev, N Andreev… - arxiv preprint arxiv …, 2024 - arxiv.org
Learning conditional distributions $\pi^*(\cdot| x) $ is a central problem in machine learning,
which is typically approached via supervised methods with paired data $(x, y)\sim\pi …
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