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time series forecasting

477 papers

TSF

Papers

FITS: Modeling Time Series with $10k$ Parameters ICLR 2024 Frequency Adaptive Normalization For Non-stationary Time Series Forecasting NeurIPS 2024 From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection NeurIPS 2024 From Similarity to Superiority: Channel Clustering for Time Series Forecasting 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 GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting AAAI 2024 GraFITi: Graphs for Forecasting Irregularly Sampled Time Series AAAI 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 Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting NeurIPS 2024 iTransformer: Inverted Transformers Are Effective for Time Series Forecasting ICLR 2024 Large Pre-trained time series models for cross-domain Time series analysis tasks NeurIPS 2024 Latent Diffusion Transformer for Probabilistic Time Series Forecasting AAAI 2024 Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting AAAI 2024 LeRet: Language-Empowered Retentive Network for Time Series Forecasting IJCAI 2024 LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction ACL 2024 LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting ACL 2024 MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process ICLR 2024 Mixture-of-Linear-Experts for Long-term Time Series Forecasting AISTATS 2024 Modeling News Interactions and Influence for Financial Market Prediction EMNLP 2024 MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting AAAI 2024 Multi-resolution Time-Series Transformer for Long-term Forecasting AISTATS 2024 Multivariate Probabilistic Time Series Forecasting with Correlated Errors NeurIPS 2024