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arXiv · 2606.31288

Probabilistic Inversion with Flow Matching

Baldur Paulwitz·Stefan Buske
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Abstract

We demonstrate the application of Flow Matching, a technique originating from generative Artificial Intelligence, to probabilistic inversion in geophysical settings, such as seismic Full-Waveform inversion. We adapt the well-established mathematical theory of Flow Matching from generative Artificial Intelligence to the context of probabilistic inversion. We evaluate the approach with two case studies: a simple 2D velocity model to illustrate the general features of the method, and the OpenFWI dataset to show its capabilities for probabilistic inversion of more complex seismic velocity models.

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Baldur Paulwitz, Stefan Buske. 2026-06-30. Probabilistic Inversion with Flow Matching. https://arxiv.org/abs/2606.31288

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