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The impact of data set similarity and diversity on transfer learning
  success in time series forecasting

The impact of data set similarity and diversity on transfer learning success in time series forecasting

9 April 2024
Claudia Ehrig
Benedikt Sonnleitner
Ursula Neumann
Catherine Cleophas
Germain Forestier
    AI4TS
ArXivPDFHTML

Papers citing "The impact of data set similarity and diversity on transfer learning success in time series forecasting"

3 / 3 papers shown
Title
MOMENT: A Family of Open Time-series Foundation Models
MOMENT: A Family of Open Time-series Foundation Models
Mononito Goswami
Konrad Szafer
Arjun Choudhry
Yifu Cai
Shuo Li
Artur Dubrawski
AIFin
AI4TS
63
107
0
06 Feb 2024
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
Samuel Dooley
Gurnoor Singh Khurana
Chirag Mohapatra
Siddartha Naidu
Colin White
AI4TS
79
56
0
03 Nov 2023
Forecast Evaluation for Data Scientists: Common Pitfalls and Best
  Practices
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices
Hansika Hewamalage
Klaus Ackermann
Christoph Bergmeir
AI4TS
46
86
0
21 Mar 2022
1