Model Selection with a Shapelet-based Distance Measure for Multi-source Transfer Learning in Time Series Classificationby…
Continuous-Time Linear Positional Embedding for Irregular Time Series Forecastingby Byunghyun Kim, Jae-Gil LeeFirst submitted to…
TSI: A Multi-View Representation Learning Approach for Time Series Forecastingby Wentao Gao, Ziqi Xu, Jiuyong…
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptationby Yucheng Wang, Peiliang Gong, Min Wu,…
Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shiftsby Dalin Qin, Yehui Li, Weiqi…
KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operatorsby…
Explicit construction of recurrent neural networks effectively approximating discrete dynamical systemsby Chikara Nakayama, Tsuyoshi YonedaFirst…
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspectiveby Chengsen…
Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Seriesby Muyao Wang,…
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patternsby Shengsheng Lin, Weiwei Lin, Xinyi Hu,…