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20182021
most citedRobust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint

17 citations · 26 across the 5 of their papers we have counts for

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2 papers · 1 filter

math.NA2021★ 2 cited

Reduced Basis Approximations of Parameterized Dynamical Partial Differential Equations via Neural Networks

Peter Sentz, Kristian Beckwith, Eric C. Cyr +2

Projection-based reduced order models are effective at approximating parameter-dependent differential equations that are parametrically separable. When parametric separability is n…

math.NA2020★ 1 cited

Thermodynamically consistent physics-informed neural networks for hyperbolic systems

Ravi G. Patel, Indu Manickam, Nathaniel A. Trask +4

Physics-informed neural network architectures have emerged as a powerful tool for developing flexible PDE solvers which easily assimilate data, but face challenges related to the P…