Methods

Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective NeurIPS 2024 Retrieval-Augmented Diffusion Models for Time Series Forecasting NeurIPS 2024 Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling ICML 2024 Root Cause Analysis in Microservice Using Neural Granger Causal Discovery AAAI 2024 RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction IJCAI 2024 SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data AISTATS 2024 SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention ICML 2024 SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series NeurIPS 2024 SaSDim:Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation IJCAI 2024 Scalable Resampling in Massive Generalized Linear Models via Subsampled Residual Bootstrap JMLR 2024 Scaling Law for Time Series Forecasting NeurIPS 2024 SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers IJCAI 2024 Schema Learning Corpus: Data and Annotation Focused on Complex Events COLING 2024 Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation IJCAI 2024 SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting IJCAI 2024 Segmentation of Complex Question Turns for Argument Mining: A Corpus-based Study in the Financial Domain COLING 2024 Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations NeurIPS 2024 Self-adaptive Extreme Penalized Loss for Imbalanced Time Series Prediction IJCAI 2024 Sequential Modeling of Complex Marine Navigation: Case Study on a Passenger Vessel (Student Abstract) AAAI 2024 Shape analysis for time series NeurIPS 2024 SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States ICML 2024 SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation AAAI 2024 SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting ICML 2024 Skip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series Forecasting IJCAI 2024 SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion NeurIPS 2024