long-term forecasting

CometNet: Contextual Motif-guided Long-term Time Series Forecasting AAAI 2026 HMformer: Unleashing Transformer’s Potential for Time Series Forecasting via Hierarchical Multi-Scale Modeling AAAI 2026 A Lightweight Sparse Interaction Network for Time Series Forecasting AAAI 2025 Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction AAAI 2025 FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts AISTATS 2025 HAR-former: Hybrid Transformer with an Adaptive Time-Frequency Representation Matrix for Long-Term Series Forecasting AISTATS 2025 HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting AAAI 2025 Kairos: Redefining Event and Time Prediction with Language Modeling ACML 2025 Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting AAAI 2025 WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting AAAI 2025 Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment NeurIPS 2024 Are Self-Attentions Effective for Time Series Forecasting? NeurIPS 2024 Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NeurIPS 2024 DAM: Towards a Foundation Model for Forecasting ICLR 2024 EasyTS: The Express Lane to Long Time Series Forecasting AAAI 2024 Mixture-of-Linear-Experts for Long-term Time Series Forecasting AISTATS 2024 Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NeurIPS 2024 SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention ICML 2024 SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting IJCAI 2024 Self-Supervised Contrastive Learning for Long-term Forecasting ICLR 2024 TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting ICLR 2024 A Time Series is Worth 64 Words: Long-term Forecasting with Transformers ICLR 2023 InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting AAAI 2023 Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer IJCAI 2023 SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting IJCAI 2023