most citedWasserstein GAN: Deep Generation applied on Bitcoins financial time series

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

stat.ML2021★ 4 cited

Wasserstein GAN: Deep Generation applied on Bitcoins financial time series

Rikli Samuel, Bigler Daniel Nico, Pfenninger Moritz +1

Modeling financial time series is challenging due to their high volatility and unexpected happenings on the market. Most financial models and algorithms trying to fill the lack of…