2 papers
cs.CV2026
Inductive Convolution Nuclear Norm Minimization for Tensor Completion with Arbitrary Sampling
Wei Li, Yuyang Li, Kaile Du +2
The recently established Convolution Nuclear Norm Minimization (CNNM) addresses the problem of \textit{tensor completion with arbitrary sampling} (TCAS), which involves restoring a…
cs.LG2026
Convolutionally Low-Rank Models with Modified Quantile Regression for Interval Time Series Forecasting
Miaoxuan Zhu, Yi Yu, Yuyang Li +2
The quantification of uncertainty in prediction models is crucial for reliable decision-making, yet remains a significant challenge. Interval time series forecasting offers a princ…