no code implementations • 2 Nov 2023 • Kunpeng Xu, Lifei Chen, Shengrui Wang
Machine learning techniques have outperformed numerous rule-based methods for decision-making in autonomous vehicles.
no code implementations • 8 Oct 2023 • Benjamin Kalfon, Soumaya Cherkaoui, Jean-Frédéric Laprade, Ola Ahmad, Shengrui Wang
In recent years, several quantum GAN architectures have been proposed in the literature.
no code implementations • 7 Feb 2023 • Jean Marie Tshimula, D'Jeff K. Nkashama, Patrick Owusu, Marc Frappier, Pierre-Martin Tardif, Froduald Kabanza, Armelle Brun, Jean-Marc Patenaude, Shengrui Wang, Belkacem Chikhaoui
This paper scrutinizes a database of over 4900 YouTube videos to characterize financial market coverage.
no code implementations • 20 Sep 2021 • Philippe Chatigny, Shengrui Wang, Jean-Marc Patenaude, Boris N. Oreshkin
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.
no code implementations • 20 Sep 2021 • Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
The originality of our approach lies in modeling interactions between time series in regime identification and in modeling time-dependent regime transition probabilities, usually assumed to be static in existing work.
no code implementations • 27 Mar 2020 • Philippe Chatigny, Jean-Marc Patenaude, Shengrui Wang
Optimal decision-making in social settings is often based on forecasts from time series (TS) data.