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• GluonTS: Probabilistic Time Series Models in Python
  2019 · 77 citations
• Deep Factors for Forecasting
  2019 · 59 citations
• Neural Flows: Efficient Alternative to Neural ODEs
  2021 · 24 citations
• The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models
  2020 · 17 citations
• Deep Learning based Forecasting: a case study from the online fashion industry
  2023 · 15 citations
• Multivariate Time Series Forecasting with Latent Graph Inference
  2022 · 11 citations
• Intermittent Demand Forecasting with Deep Renewal Processes
  2019 · 9 citations
• Multivariate Quantile Function Forecaster
  2022 · 8 citations
• Multi-Objective Model Selection for Time Series Forecasting
  2022 · 7 citations
• Intermittent Demand Forecasting with Renewal Processes
  2020 · 5 citations
• Deep Explicit Duration Switching Models for Time Series
  2021 · 4 citations
• Meta-Forecasting by combining Global Deep Representations with Local Adaptation
  2021 · 2 citations
• Deep Non-Parametric Time Series Forecaster
  2023 · 2 citations
• Causal Forecasting for Pricing
  2023 · 2 citations