Nick Luiken

Past members

Postdoctoral Fellow

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Research Interests

I am currently looking for ways to incorporate machine learning techniques in existing workflows in inverse problems.

 

 

Selected Publications

N.A. Luiken, M. Ravasi and C. Birnie.  A hybrid approach to deblending: when physics meets self-supervision. arXiv preprint arXiv:2205.15395  

N.A. Luiken, M. Ravasi and J. Romero. Robust Regularized Regression Using a Modified ADMM. 83rd EAGE Annual Conference & Exhibition 2022 (1), 1-5 

N.A. Luiken and T. van Leeuwen. Seismic wavefield redatuming with regularized multi-dimensional deconvolution. Inverse Problems, 36:095010, 2020.

N.A. Luiken and T. van Leeuwen. Relaxed regularization for linear inverse problems. SIAM J. Sci. Comp., 43(5), S269-S29, 2020.

D. Vargas, I. Vasconcelos, M. Ravasi, N. Luiken. Time-domain multidimensional deconvolution: A physically reliable and stable preconditioned implementation. Remote Sensing 13 (18), 3683, 2021

 

 

Research Interests Keywords

Inverse problems Regularization Machine Learning