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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