June 14, 2020 12:27
Abstract
Structured Learning Team
This is an online seminer. Registration is required.
We’ll send the instruction for attending the online seminar.
Date: 2020-06-17 15:30-16:30
Speaker:Dr. Matthias Weissenbacher
【Title】Temporally Folded Convolutional Neural Networks for Sequence Forecasting
【Abstract】 In this work we propose a novel approach to utilize convolutional neural networks for time series forecasting. We empirically compare our strategy to LSTM’s and convolutional LSTM’s on their performance on the sequential MNIST and the JSB Chorals dataset, respectively. We conclude that the proposed “temporally folded” CNN’s can outperform the conventional recurrent strategies.
More Information
| Date | June 17, 2020 (Wed) 15:30 - 16:30 |
| URL | https://c5dc59ed978213830355fc8978.doorkeeper.jp/events/107699 |
Related Laboratories
last updated on October 17, 2024 09:19Laboratory
