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20222026
most citedDesigning Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis

4 citations · 6 across the 7 of their papers we have counts for

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math.DS2022★ 4 cited

Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis

Luca Galimberti, Anastasis Kratsios, Giulia Livieri

Several non-linear operators in stochastic analysis, such as solution maps to stochastic differential equations, depend on a temporal structure which is not leveraged by contempora…