219 citations · 942 across the 36 of their papers we have counts for
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q-fin.CP2023
Introducing the -Cell: Unifying GARCH, Stochastic Fluctuations and Evolving Mechanisms in RNN-based Volatility Forecasting
German Rodikov, Nino Antulov-Fantulin
This paper introduces the -Cell, a novel Recurrent Neural Network (RNN) architecture for financial volatility modeling. Bridging traditional econometric approaches like GARCH wi…
cond-mat.stat-mech2023
Stretched and measured neural predictions of complex network dynamics
Vaiva Vasiliauskaite, Nino Antulov-Fantulin
Differential equations are a ubiquitous tool to study dynamics, ranging from physical systems to complex systems, where a large number of agents interact through a graph with non-t…