Author

Mrinal K. Sen

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Preprint Oct 2026

GeoFWI3D: Large-scale 3D Velocity Model Dataset for Deep Learning-assisted Seismic Imaging

We introduce GeoFWI3D, a large-scale open-source benchmark dataset of geologically plausible 3D subsurface models designed to accelerate deep learning (DL) assisted seismic imaging and full waveform inversion (FWI). FWI is a physics-driven, wave-equation-based optimization technique used in seismic imaging to estimate...

S. Swaminadhan, Yi-Ran Shen, Chao Li et al. · 0 citations

#machine learning Preprint Oct 2026

Structure-aware Bayesian full waveform inversion via diffusion-regularized Stein variational gradient descent

Numerical experiments demonstrate that the diffusion-regularized ASVGD-FWI produces more geologically consistent mean models, suppresses nonphysical artifacts, and yields uncertainty estimates that are more concentrated around structurally complex and poorly constrained regions.

Chao Li, Mrinal K. Sen, Sergey Fomel et al. · 0 citations

Open access Aug 2026

Physics‐Constrained Variational Autoencoder for Uncertainty Quantification of Full Waveform Inversion

We propose a variational autoencoder framework to directly assess uncertainties in subsurface models produced by single‐ and multiparameter full waveform inversion (FWI). The new method does not require pretraining on labeled data, thus it significantly reduces computational cost and storage requirements. The framewo...

A. Elmeliegy, Mrinal K. Sen, A. Dhara et al. · Journal of Geophysical Resea... · 0 citations