time series forecasting

APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift AAAI 2026 Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models ACL 2026 BCWildfire: A Long-term Multi-factor Dataset and Deep Learning Benchmark for Boreal Wildfire Risk Prediction AAAI 2026 Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting AAAI 2026 Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting AAAI 2026 C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning AAAI 2026 CometNet: Contextual Motif-guided Long-term Time Series Forecasting AAAI 2026 CompRestacking: Capturing Channel Dependency in Highly Correlated Multivariate Time Series Data (Student Abstract) AAAI 2026 Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction AAAI 2026 DEEP: A Discourse Evolution Engine for Predictions About Social Movements AAAI 2026 DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting AAAI 2026 Dynamic Semantic Tokenization for Time Series via Elastic Sampling on Physics-aware Perception AAAI 2026 Efficient Forecasting of Geostationary Infrared Brightness Temperature Sequences: A Benchmark and a Lightweight Model AAAI 2026 EMAformer: Enhancing Transformer Through Embedding Armor for Time Series Forecasting AAAI 2026 ExoTimer: Leveraging Large Language Models for Time Series Forecasting with Exogenous Variables AAAI 2026 FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting AAAI 2026 FeTS: A Feature-Aware Framework for Time Series Forecasting AAAI 2026 FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition AAAI 2026 FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting AAAI 2026 Goal-Oriented Time-Series Forecasting: Foundation Framework Design AAAI 2026 GraFT: Infusing Pre-trained Transformers with Relational Structure for Time Series Forecasting AAAI 2026 Harmonic Dataset Distillation for Time Series Forecasting AAAI 2026 HMformer: Unleashing Transformer’s Potential for Time Series Forecasting via Hierarchical Multi-Scale Modeling AAAI 2026 HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting AAAI 2026 HyperLoad: A Cross-Modality Enhanced Large Language Model-Based Framework for Green Data Center Cooling Load Prediction AAAI 2026