Nick Luiken

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

PyProximal - scalable convex optimization in Python.

Matteo Ravasi, Marcus Valtonen Örnhag, Nick Luiken, Olivier Leblanc, Eneko Uruñuela

J. Open Source Softw., April, 2024

2023

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

Juan Romero, Wolfgang Heidrich, Nick Luiken, Matteo Ravasi

CoRR, 2023

A deep learning-based approach to increase efficiency in the acquisition of ultrasonic non-destructive testing datasets.

Nick Luiken, Matteo Ravasi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Stochastic Multi-Dimensional Deconvolution.

Matteo Ravasi, Tamin Selvan, Nick Luiken

IEEE Trans. Geosci. Remote. Sens., 2022

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

Muhammad Izzatullah, Tariq Alkhalifah, Juan Romero, Miguel Corrales, Nick Luiken, Matteo Ravasi

CoRR, 2022

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

Nick Luiken, Matteo Ravasi, Claire E. Birnie

CoRR, 2022

2021

Relaxed Regularization for Linear Inverse Problems.

Nick Luiken, Tristan van Leeuwen

SIAM J. Sci. Comput., 2021

Time-Domain Multidimensional Deconvolution: A Physically Reliable and Stable Preconditioned Implementation.

David Vargas, Ivan Vasconcelos, Matteo Ravasi, Nick Luiken

Remote. Sens., 2021

2020

Comparing RSVD and Krylov methods for linear inverse problems.

Nick Luiken, Tristan van Leeuwen

Comput. Geosci., 2020