uncertainty quantification 2bootstrap methods 1crustal modeling 1deep learning 1full-waveform inversion 1Moho depth 1physics-informed neural networks 1synthetic validation 1wide-angle seismology 1
From the 2 of 2 linked papers with an AI index.
2 papers
physics.geo-ph2026
Reliability-calibrated deep residual full-waveform inversion using geometry-invariant physics encoding: synthetic validation and zero-shot Marmousi-2 testing
Deepak Kumar, Jayant Nath Tripathi, Laxmidhar Behera
The paper presents a deep learning pipeline that uses physics‑derived inputs to correct full‑waveform inversion results and provides calibrated, pixel‑wise uncertainty estimates th…
physics.geo-ph2026
Calibrated uncertainty for wide-angle crustal models: how firmly is the Dharwar Craton Moho actually constrained?
Deepak Kumar, Laxmidhar Behera, Wojciech Czuba
The paper assesses how well the Moho depth beneath the Dharwar Craton is constrained by applying calibrated uncertainty analysis and bootstrap validation to a large wide-angle seis…