43 citations · 169 across the 21 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.LG2021★ 7 cited
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.LG2021★ 21 cited
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series
Satya Narayan Shukla, Benjamin M. Marlin
Irregularly sampled time series data arise naturally in many application domains including biology, ecology, climate science, astronomy, and health. Such data represent fundamental…
cs.LG2021★ 23 cited
Multi-Time Attention Networks for Irregularly Sampled Time Series
Satya Narayan Shukla, Benjamin M. Marlin
Irregular sampling occurs in many time series modeling applications where it presents a significant challenge to standard deep learning models. This work is motivated by the analys…