Junghee Kim

CDTS2: Causal Downstreamer with Causally Disentangled Trend and Seasonality Time-Series Representations

Time-series representation learning decomposes signals into interpretable factors such as trend and seasonality, and disentangled representation learning assigns these factors to distinct latent dimensions, enhancing interpretability and forecasting accuracy. However, existing methods achieve only statistical disentang...