Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations.
Etienne Le NaourLouis SerranoLéon MigusYuan YinGhislain AgouaNicolas BaskiotisPatrick GallinariVincent GuiguePublished in: Trans. Mach. Learn. Res. (2024)
Keyphrases
- symbolic representation
- weather forecasting
- network architecture
- neural network
- forecasting accuracy
- mathematical modeling
- neural model
- chaotic time series
- subsequence matching
- data imputation
- exponential smoothing
- distributed representations
- garch model
- financial time series
- bio inspired
- dynamic time warping
- prediction model
- non stationary
- bayesian networks
- learning algorithm
- data mining