time series forecasting

SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting AAAI 2026 Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting AAAI 2026 Sparse-Scale Transformer with Bidirectional Awareness for Time Series Forecasting AAAI 2026 STrans: Spontaneous Architecture Evolution for Adaptive Time Series Forecasting AAAI 2026 Supervised Dynamic Dimension Reduction with Deep Neural Network AAAI 2026 T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion AAAI 2026 TimeCAP: A Channel-Aware Pre-Training Framework for Multivariate Time Series Forecasting AAAI 2026 TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding AAAI 2026 TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series Forecasting ACL 2026 Time Series Forecasting via Direct Per-Step Probability Distribution Modeling AAAI 2026 Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing AAAI 2026 TTF: A Trapezoidal Temporal Fusion Framework for LTV Forecasting in Douyin AAAI 2026 UAlberta at SemEval-2026 Task 2: Temporal Fusion Models for Predicting Affect Over Time SemEval 2026 XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs AAAI 2026 AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting IJCAI 2025 Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting AAAI 2025 Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting AISTATS 2025 Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting AAAI 2025 A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension IJCAI 2025 A Lightweight Sparse Interaction Network for Time Series Forecasting AAAI 2025 AlphaGAT: A Two-Stage Learning Approach for Adaptive Portfolio Selection IJCAI 2025 Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting AAAI 2025 A Multi-Task Learning Approach to Linear Multivariate Forecasting AISTATS 2025 A Non-isotropic Time Series Diffusion Model with Moving Average Transitions ICML 2025 Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting AAAI 2025