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- W2783807614 abstract "The present paper aims to demonstrate the usage of Convolutional Neural Networks as a generative model for stochastic processes, enabling researchers from a wide range of fields (such as quantitative finance and physics) to develop a general tool for forecasts and simulations without the need to identify/assume a specific system structure or estimate its parameters." @default.
- W2783807614 created "2018-01-26" @default.
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- W2783807614 date "2018-01-09" @default.
- W2783807614 modified "2023-09-27" @default.
- W2783807614 title "Generative Models for Stochastic Processes Using Convolutional Neural Networks" @default.
- W2783807614 hasPublicationYear "2018" @default.
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