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Time Series Analysis

826 directly classified papers

Papers per year

Papers

Harmonic Dataset Distillation for Time Series Forecasting AAAI 2026
FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition AAAI 2026
Multivariate Functional Linear Discriminant Analysis for Partially-Observed Time Series (Abstract Reprint) AAAI 2026
Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction AAAI 2026
XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs AAAI 2026
TTF: A Trapezoidal Temporal Fusion Framework for LTV Forecasting in Douyin AAAI 2026
M2FMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series Forecasting AAAI 2026
CompRestacking: Capturing Channel Dependency in Highly Correlated Multivariate Time Series Data (Student Abstract) AAAI 2026
GCF: Estimating Unobserved Demand Using Graph Causal Forecasting AAAI 2025
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows AAAI 2025
WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting AAAI 2025
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting AAAI 2025
GIST: Gear Type Identification by Spatiotemporal Trajectory Transformation for Monitoring Fisheries AAAI 2025
Aligning Time-series by Local Trends: Applications in Public Health AAAI 2025
Transfer Learning in Financial Time Series with Gramian Angular Field (Student Abstract) AAAI 2025
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting AAAI 2025
Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs AAAI 2025
KernelMatmul: Scaling Gaussian Processes to Large Time Series AAAI 2025
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis AAAI 2025
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification AAAI 2025
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting AAAI 2025
TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection AAAI 2025
Revisiting Attention for Multivariate Time Series Forecasting AAAI 2025
Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting AAAI 2025
Hubness Change Point Detection AAAI 2025