time series forecasting

IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models? AAAI 2026 Improved Wildfire Spread Prediction with Time-Series Data and the WSTS+ Benchmark WACV 2026 Improving Day-Ahead Grid Carbon Intensity Forecasting by Joint Modeling of Local-Temporal and Cross-Variable Dependencies Across Different Frequencies AAAI 2026 Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies AAAI 2026 Is the Attention Matrix Really the Key to Self-Attention in Multivariate Long-Term Time Series Forecasting? ACL 2026 LiBrain: LLM-Powered Li-ion Battery Diagnostics with Time-Series-Aware Retrieval-Augmented Framework for E-bikes AAAI 2026 Localized Near Surface Temperature Inversion Forecasting Using Long Short-Term Memory AAAI 2026 M2FMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series Forecasting AAAI 2026 M3Time: LLM-Enhanced Multi-Modal, Multi-Scale, and Multi-Frequency Multivariate Time Series Forecasting AAAI 2026 Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series Forecasting ACL 2026 MDMLP-EIA: Multi-domain Dynamic MLPs with Energy Invariant Attention for Time Series Forecasting AAAI 2026 Model-Agnostic Online Certificate-Driven Calibration for Time Series Forecasting Under Distribution Shift UAI 2026 Modeling Trend Dynamics with Variational Neural ODEs for Information Popularity Prediction AAAI 2026 MulTiCast: A Multimodal Time Series Forecasting System AAAI 2026 Multi-Horizon Time Series Forecasting of Non-Parametric CDFs with Deep Lattice Networks AAAI 2026 Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series AAAI 2026 OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting AAAI 2026 Optimal Look-back Horizon for Time Series Forecasting in Federated Learning AAAI 2026 ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation AAAI 2026 Predicting the Future by Retrieving the Past AAAI 2026 Real-Time Long Horizon Air Quality Forecasting via Group-Relative Policy Optimization CVPR 2026 ReCast: Reliability-aware Codebook-assisted Lightweight Time Series Forecasting AAAI 2026 Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting AAAI 2026 RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting AAAI 2026 SELDON: Supernova Explosions Learned by Deep ODE Networks AAAI 2026