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• LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
  2024 · 21 citations
• Data-Centric Epidemic Forecasting: A Survey
  2022 · 6 citations
• When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting
  2021 · 5 citations
• Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
  2024 · 4 citations
• Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty
  2020 · 4 citations
• Large Pre-trained time series models for cross-domain Time series analysis tasks
  2023 · 2 citations
• Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity
  2024 · 2 citations
• CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting
  2021 · 1 citations
• Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting
  2024 · 1 citations
• Hierarchical Industrial Demand Forecasting with Temporal and Uncertainty Explanations
  2026
• When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting
  2022
• PEMS: Pre-trained Epidemic Time-series Models
  2023
• Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
  2024