Jonas Petersen

HEPA architecture predicts critical time-series events using self-supervision

Researchers have developed HEPA, a novel self-supervised architecture for predicting critical events in multivariate time series data. This architecture uses a causal Transformer encoder pretrained with a Joint-Embeddin…