Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecastingby Jintao Zhang,…
SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect Detectionby Nazanin Fouladgar, Marjan Alirezaie, Kary…
Constrained Posterior Sampling: Time Series Generation with Hard Constraintsby Sai Shankar Narasimhan, Shubhankar Agarwal, Litu…
Context Matters: Leveraging Contextual Features for Time Series Forecastingby Sameep Chattopadhyay, Pulkit Paliwal, Sai Shankar…
Self-Supervised Learning of Disentangled Representations for Multivariate Time-Seriesby Ching Chang, Chiao-Tung Chan, Wei-Yao Wang, Wen-Chih…
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patchingby Xingjian Wu, Xiangfei Qiu, Zhengyu…
Revisited Large Language Model for Time Series Analysis through Modality Alignmentby Liangwei Nathan Zheng, Chang…
Towards Neural Scaling Laws for Time Series Foundation Modelsby Qingren Yao, Chao-Han Huck Yang, Renhe…
ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Predictionby Kshitij Tayal, Arvind Renganathan, Xiaowei Jia,…
Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modelingby Sinong Zhao, Wenrui Wang, Hongzuo…