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20222026
most citedAttractor landscapes in Boolean networks with firing memory

6 citations · 11 across the 12 of their papers we have counts for

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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…