June 14, 2020 12:27

Abstract

Structured Learning Team
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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.

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Date June 17, 2020 (Wed) 15:30 - 16:30
URL https://c5dc59ed978213830355fc8978.doorkeeper.jp/events/107699

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