Nicolás Valenzuela

According to our database1, Nicolás Valenzuela authored at least 5 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2024
Error bounds for Physics Informed Neural Networks in Nonlinear Schrödinger equations placed on unbounded domains.
CoRR, 2024

Bounds on the approximation error for deep neural networks applied to dispersive models: Nonlinear waves.
CoRR, 2024

2023
A numerical approach for the fractional Laplacian via deep neural networks.
CoRR, 2023

2022
The Calderón's problem via DeepONets.
CoRR, 2022

A new approach for the fractional Laplacian via deep neural networks.
CoRR, 2022


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