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Found 2 papers, 2 papers with code
Modeling Baroque Two-Part Counterpoint with Neural Machine Translation
We propose a system for contrapuntal music generation based on a Neural Machine Translation (NMT) paradigm.
Deep Learning Stock Volatility with Google Domestic Trends
We have applied a Long Short-Term Memory neural network to model S&P 500 volatility, incorporating Google domestic trends as indicators of the public mood and macroeconomic factors.
Computational Finance
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