6 citations · 11 across the 12 of their papers we have counts for
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cs.LG2022★ 2 cited
Physics-informed neural networks for operator equations with stochastic data
Paul Escapil-Inchauspé, Gonzalo A. Ruz
We consider the computation of statistical moments to operator equations with stochastic data. We remark that application of PINNs -- referred to as TPINNs -- allows to solve the i…
math.NA2022★ 2 cited
Hyper-parameter tuning of physics-informed neural networks: Application to Helmholtz problems
Paul Escapil-Inchauspé, Gonzalo A. Ruz
We consider physics-informed neural networks (PINNs) [Raissi et al., J.~Comput. Phys. 278 (2019) 686-707] for forward physical problems. In order to find optimal PINNs configuratio…
cs.DM2022★ 6 cited
Attractor landscapes in Boolean networks with firing memory
Eric Goles, Fabiola Lobos, Gonzalo A. Ruz +1
In this paper we study the dynamical behavior of Boolean networks with firing memory, namely Boolean networks whose vertices are updated synchronously depending on their proper Boo…