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12/02/2021
Forex Trading Volatility Prediction using Neural Network Models
In this paper, we investigate the problem of predicting the future volat...
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11/01/2021
Sig-Wasserstein GANs for Time Series Generation
Synthetic data is an emerging technology that can significantly accelera...
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10/25/2021
Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition
This paper contributes to the challenge of skeleton-based human action r...
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06/09/2020
Conditional Sig-Wasserstein GANs for Time Series Generation
Generative adversarial networks (GANs) have been extremely successful in...
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08/22/2019