57 citations · 139 across the 10 of their papers we have counts for
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math.NA2020★ 16 cited
Solving non-linear Kolmogorov equations in large dimensions by using deep learning: a numerical comparison of discretization schemes
Nicolas Macris, Raffaele Marino
Non-linear partial differential Kolmogorov equations are successfully used to describe a wide range of time dependent phenomena, in natural sciences, engineering or even finance. F…
cs.AI2020★ 14 cited
Learning from Survey Propagation: a Neural Network for MAX-E--SAT
Raffaele Marino
Many natural optimization problems are NP-hard, which implies that they are probably hard to solve exactly in the worst-case. However, it suffices to get reasonably good solutions…
cs.DS2020
Large independent sets on random -regular graphs with fixed degree
Raffaele Marino, Scott Kirkpatrick
This paper presents a linear prioritized local algorithm that computes large independent sets on a random -regular graph with small and fixed degree . We studied experimental…