MuSiCNet combines multi-scale attention with Lomb-Scargle periodograms and dynamic time warping to represent irregularly sampled multivariate time series, reporting strong results across three tasks.
Dynamic nonlinear matrix comple- tion for time-varying data imputation
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis
MuSiCNet combines multi-scale attention with Lomb-Scargle periodograms and dynamic time warping to represent irregularly sampled multivariate time series, reporting strong results across three tasks.