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Time Series Analysis

826 directly classified papers

Papers per year

Papers

TSVer: A Benchmark for Fact Verification Against Time-Series Evidence EMNLP 2025
Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition JMLR 2025
MMNet: Missing-Aware and Memory-Enhanced Network for Multivariate Time Series Imputation IJCAI 2025
CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning IJCAI 2025
AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting IJCAI 2025
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting AAAI 2025
KernelMatmul: Scaling Gaussian Processes to Large Time Series 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
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences AAAI 2025
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting AAAI 2025
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting AAAI 2025
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis AAAI 2025
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows 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
CO2-Net: A Physics-Informed Spatio-Temporal Model for Global Surface CO2 Reconstruction ICCV 2025
SMTPD: A New Benchmark for Temporal Prediction of Social Media Popularity CVPR 2025
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting AAAI 2025
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting AAAI 2025
Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space AAAI 2025
Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal Context AAAI 2025
CrisisTS: Coupling Social Media Textual Data and Meteorological Time Series for Urgency Classification ACL 2025
A Practical Approach to Causal Inference over Time AAAI 2025