CLaST: Context-aware Contrastive VAE for Probabilistic Time Series Forecasting
This work proposes CLaST, a VAE framework for probabilistic multivariate time series forecasting that learns embeddings that preserve contextual similarity between observations through the authors' contrastive loss function.
A. Marusov, D. Anikin, P. Sokerin et al.
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