SAGE: Subsurface AI-driven Geostatistical Extraction with proxy posterior

ArXi:2604.00307v1 Announce Type: new Recent advances in generative networks have enabled new approaches to subsurface velocity model synthesis, offering a compelling alternative to traditional methods such as Full Waveform Inversion. However, these approaches predominantly rely on the availability of large-scale datasets of high-quality, geologically realistic subsurface velocity models, which are often difficult to obtain in practice. We