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cs.LG2025
Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks
Yihang Gao, Michael K. Ng, Vincent Y. F. Tan
Kolmogorov--Arnold networks (KANs) have demonstrated their potential as an alternative to multi-layer perceptions (MLPs) in various domains, especially for science-related tasks. H…
cs.LG2024
Low-Rank Tensor Learning by Generalized Nonconvex Regularization
Sijia Xia, Michael K. Ng, Xiongjun Zhang
In this paper, we study the problem of low-rank tensor learning, where only a few of training samples are observed and the underlying tensor has a low-rank structure. The existing…