Time Series Analysis

Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark EMNLP 2024 Explain Temporal Black-Box Models via Functional Decomposition ICML 2024 Exploiting Representation Curvature for Boundary Detection in Time Series NeurIPS 2024 FilterNet: Harnessing Frequency Filters for Time Series Forecasting NeurIPS 2024 Financial Forecasting from Textual and Tabular Time Series EMNLP 2024 FITS: Modeling Time Series with $10k$ Parameters ICLR 2024 Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024 Frequency Adaptive Normalization For Non-stationary Time Series Forecasting NeurIPS 2024 Frequency-aware Generative Models for Multivariate Time Series Imputation NeurIPS 2024 From Generalization Analysis to Optimization Designs for State Space Models ICML 2024 From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection NeurIPS 2024 FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection NeurIPS 2024 Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data AAAI 2024 Gated Inference Network: Inference and Learning State-Space Models NeurIPS 2024 GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks ICLR 2024 GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting AAAI 2024 GraFITi: Graphs for Forecasting Irregularly Sampled Time Series AAAI 2024 Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length JMLR 2024 Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling ICML 2024 Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting ICML 2024 Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series NeurIPS 2024 GRU-M: A Joint Impute and Learn Approach for Sequential Prediction under Missing Data ACML 2024 HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting AAAI 2024 Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling ICML 2024 Higher-Order Causal Message Passing for Experimentation with Complex Interference NeurIPS 2024