arXiv Machine Learning June 5, 2026 By Haoran Sun, Daoqi Liu, Hongyu Zhou, Maokun Li, Shenheng Xu, Fan Yang

A Differentiable Framework for Full and Phaseless Data Inversion Using Neural Implicit Contrast-Source Representation

Read the original on arXiv Machine Learning →

arXiv:2508. 10555v2 Announce Type: replace-cross Abstract: 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.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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