2 papers
physics.comp-ph2026
A Differentiable Framework for Full and Phaseless Data Inversion Using Neural Implicit Contrast-Source Representation
Haoran Sun, Daoqi Liu, Hongyu Zhou +3
In this study, we extend the contrast source inversion to a fully differentiable, unsupervised framework based on a neural implicit representation of the contrast source. Specifica…
physics.geo-ph2026
Feature-based Inversion of 2.5D Controlled Source Electromagnetic Data using Generative Priors
Hongyu Zhou, Haoran Sun, Rui Guo +3
In this study, we investigate feature-based 2.5D controlled source marine electromagnetic (mCSEM) data inversion using generative priors. Two-and-half dimensional modeling using fi…