71 citations · 176 across the 14 of their papers we have counts for
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math.NA2021★ 2 cited
Uniformly accurate schemes for drift--oscillatory stochastic differential equations
Ibrahim Almuslimani, Philippe Chartier, Mohammed Lemou +1
In this work, we adapt the {\em micro-macro} methodology to stochastic differential equations for the purpose of numerically solving oscillatory evolution equations. The models we…
cs.LG2021★ 31 cited
Symplectic Learning for Hamiltonian Neural Networks
Marco David, Florian Méhats
Machine learning methods are widely used in the natural sciences to model and predict physical systems from observation data. Yet, they are often used as poorly understood "black b…