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Found 4 papers, 1 papers with code
Stretched and measured neural predictions of complex network dynamics
Focusing on complex systems whose dynamics are described with a system of first-order differential equations coupled through a graph, we show that extending the model's generalizability beyond traditional statistical learning theory limits is feasible.
Topic Community Based Temporal Expertise for Question Routing
Most of the existing approaches predict users' expertise based on their past question answering behavior and the content of new questions.
Information dynamics of price and liquidity around the 2017 Bitcoin markets crash
We study the information dynamics between the largest Bitcoin exchange markets during the bubble in 2017-2018.
Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data
Using this data, we built several deep learning architectures that utilized different combinations of the gathered information.
