Nick Luiken

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Linear Inverse Problems

Total Least Squares

Image Restoration

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Comput. Geosci.

Publications

Matteo Ravasi, Marcus Valtonen Örnhag, Nick Luiken, Olivier Leblanc, Eneko Uruñuela
PyProximal - scalable convex optimization in Python. J. Open Source Softw. 9 (96) (2024)
Nick Luiken, Matteo Ravasi
A deep learning-based approach to increase efficiency in the acquisition of ultrasonic non-destructive testing datasets. CVPR Workshops (2023)
Juan Romero, Wolfgang Heidrich, Nick Luiken, Matteo Ravasi
IntraSeismic: a coordinate-based learning approach to seismic inversion. CoRR (2023)
Matteo Ravasi, Tamin Selvan, Nick Luiken
Stochastic Multi-Dimensional Deconvolution. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Muhammad Izzatullah, Tariq Alkhalifah, Juan Romero, Miguel Corrales, Nick Luiken, Matteo Ravasi
Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion. CoRR (2022)
Nick Luiken, Matteo Ravasi, Claire E. Birnie
A hybrid approach to seismic deblending: when physics meets self-supervision. CoRR (2022)
David Vargas, Ivan Vasconcelos, Matteo Ravasi, Nick Luiken
Time-Domain Multidimensional Deconvolution: A Physically Reliable and Stable Preconditioned Implementation. Remote. Sens. 13 (18) (2021)
Nick Luiken, Tristan van Leeuwen
Relaxed Regularization for Linear Inverse Problems. SIAM J. Sci. Comput. 43 (5) (2021)
Nick Luiken, Tristan van Leeuwen
Relaxed regularization for linear inverse problems. CoRR (2020)
Nick Luiken, Tristan van Leeuwen
Comparing RSVD and Krylov methods for linear inverse problems. Comput. Geosci. 137 (2020)