1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
Variational Neural Temporal Point Process
Deokjun Eom, Sehyun Lee, Jaesik Choi
A temporal point process is a stochastic process that predicts which type of events is likely to happen and when the event will occur given a history of a sequence of events. There…
cs.AI2020
Improved Predictive Deep Temporal Neural Networks with Trend Filtering
Youngjin Park, Deokjun Eom, Byoungki Seo +1
Forecasting with multivariate time series, which aims to predict future values given previous and current several univariate time series data, has been studied for decades, with on…