Time Series

CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting AAAI 2025 DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting IJCAI 2025 Differentiable Adversarial Attacks for Marked Temporal Point Processes AAAI 2025 Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting AAAI 2025 Early Concept Drift Detection via Prediction Uncertainty AAAI 2025 Effective and Efficient Representation Learning for Flight Trajectories AAAI 2025 Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags IJCAI 2025 Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows AAAI 2025 Efficient Time Series Processing for Transformers and State-Space Models through Token Merging ICML 2025 Exploring Representations and Interventions in Time Series Foundation Models ICML 2025 FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction AAAI 2025 FIC-TSC: Learning Time Series Classification with Fisher Information Constraint ICML 2025 FLARE: A Framework for Stellar Flare Forecasting Using Stellar Physical Properties and Historical Records IJCAI 2025 FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting IJCAI 2025 GCF: Estimating Unobserved Demand Using Graph Causal Forecasting AAAI 2025 General Incomplete Time Series Analysis via Patch Dropping Without Imputation IJCAI 2025 Graph Adaptive Autoregressive Moving Average Models ICML 2025 Hierarchical Classification Auxiliary Network for Time Series Forecasting AAAI 2025 Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series ICML 2025 (How) Can Transformers Predict Pseudo-Random Numbers? ICML 2025 HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting AAAI 2025 ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data IJCAI 2025 KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy AAAI 2025 KoNODE: Koopman-Driven Neural Ordinary Differential Equations with Evolving Parameters for Time Series Analysis ICML 2025 Learning Changes in Graphon Attachment Network Models ICML 2025