most citedSpatiotemporal Adaptive Neural Network for Long-term Forecasting of Financial Time Series

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2021

Neural forecasting at scale

Philippe Chatigny, Shengrui Wang, Jean-Marc Patenaude +1

We study the problem of efficiently scaling ensemble-based deep neural networks for multi-step time series (TS) forecasting on a large set of time series. Current state-of-the-art…

cs.LG2020★ 2 cited

Spatiotemporal Adaptive Neural Network for Long-term Forecasting of Financial Time Series

Philippe Chatigny, Jean-Marc Patenaude, Shengrui Wang

Optimal decision-making in social settings is often based on forecasts from time series (TS) data. Recently, several approaches using deep neural networks (DNNs) such as recurrent…