Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subsetby…
Approximate Probabilistic Inference for Time-Series Data A Robust Latent Gaussian Model With Temporal Awarenessby Anton…
Accelerating Quasi-Static Time Series Simulations with Foundation Modelsby Alban Puech, François Mirallès, Jonas Weiss, Vincent…
CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervisionby Aoi Ito, Kota Dohi, Yohei…
Retrieval Augmented Time Series Forecastingby Kutay Tire, Ege Onur Taga, Muhammed Emrullah Ildiz, Samet OymakFirst…
FlowTS: Time Series Generation via Rectified Flowby Yang Hu, Xiao Wang, Zezhen Ding, Lirong Wu,…
Research on an intelligent fault diagnosis method for nuclear power plants based on ETCN-SSA combined…
MP-PINN: A Multi-Phase Physics-Informed Neural Network for Epidemic Forecastingby Thang Nguyen, Dung Nguyen, Kha Pham,…
Local vs. Global Models for Hierarchical Forecastingby Zhao Yingjie, Mahdi AbolghasemiFirst submitted to arxiv on: 10…
Early Prediction of Natural Gas Pipeline Leaks Using the MKTCN Modelby Xuguang Li, Zhonglin Zuo,…