Time Series Analysis

Spectral Differential Network Analysis for High-Dimensional Time Series AISTATS 2025 SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input UAI 2025 STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation IJCAI 2025 State Feedback Enhanced Graph Differential Equations for Multivariate Time Series Forecasting IJCAI 2025 STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis AAAI 2025 Stream-level Flow Matching with Gaussian Processes ICML 2025 Sundial: A Family of Highly Capable Time Series Foundation Models ICML 2025 T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models IJCAI 2025 TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection AAAI 2025 TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting IJCAI 2025 Temporal Streaming Batch Principal Component Analysis for Time Series Classification (Student Abstract) AAAI 2025 TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting ICML 2025 TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents AAAI 2025 TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis AAAI 2025 TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment AAAI 2025 TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts AAAI 2025 Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement ACL 2025 TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning ICML 2025 TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state ICML 2025 Timer-XL: Long-Context Transformers for Unified Time Series Forecasting ICLR 2025 Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting AAAI 2025 Time-series attribution maps with regularized contrastive learning AISTATS 2025 Time Series Representations with Hard-Coded Invariances ICML 2025 TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting ICML 2025 TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation ICML 2025