Nick Luiken

Orcid: 0000-0003-3307-1748

According to our database1, Nick Luiken authored at least 9 papers between 2020 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
PyProximal - scalable convex optimization in Python.
J. Open Source Softw., April, 2024

2023
IntraSeismic: a coordinate-based learning approach to seismic inversion.
CoRR, 2023

A deep learning-based approach to increase efficiency in the acquisition of ultrasonic non-destructive testing datasets.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Stochastic Multi-Dimensional Deconvolution.
IEEE Trans. Geosci. Remote. Sens., 2022

Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion.
CoRR, 2022

A hybrid approach to seismic deblending: when physics meets self-supervision.
CoRR, 2022

2021
Relaxed Regularization for Linear Inverse Problems.
SIAM J. Sci. Comput., 2021

Time-Domain Multidimensional Deconvolution: A Physically Reliable and Stable Preconditioned Implementation.
Remote. Sens., 2021

2020
Comparing RSVD and Krylov methods for linear inverse problems.
Comput. Geosci., 2020


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