Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach

no code implementations • 21 Nov 2022 • Paul Goyes, Edwin Vargas, Claudia Correa, Yu Sun, Ulugbek Kamilov, Brendt Wohlberg, Henry Arguello

Physical and budget constraints often result in irregular sampling, which complicates accurate subsurface imaging.

Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields

1 code implementation • 27 Nov 2021 • Renhao Liu, Yu Sun, Jiabei Zhu, Lei Tian, Ulugbek Kamilov

The representation in DeCAF is learned directly from the measurements of the test sample by using the IDT forward model, without any ground-truth RI maps.

Zero-Shot Learning

Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning

no code implementations • NeurIPS 2012 • Ulugbek Kamilov, Sundeep Rangan, Michael Unser, Alyson K. Fletcher

We present a method, called adaptive generalized approximate message passing (Adaptive GAMP), that enables joint learning of the statistics of the prior and measurement channel along with estimation of the unknown vector $\xbf$.

Sparse Learning