2 papers
cs.LG2024
Heteroscedastic Temporal Variational Autoencoder For Irregular Time Series
Satya Narayan Shukla, Benjamin M. Marlin
Irregularly sampled time series commonly occur in several domains where they present a significant challenge to standard deep learning models. In this paper, we propose a new deep…
cs.LG2024
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning
Maxwell A. Xu, Alexander Moreno, Hui Wei +2
The success of self-supervised contrastive learning hinges on identifying positive data pairs, such that when they are pushed together in embedding space, the space encodes useful…