2 papers
math.NA2026
Covariance-Informed Subspace: an Adaptive Gradient-Free Input Dimension Reduction Method for Bayesian Inference
Nadège Polette, Olivier Le Maître, Pierre Sochala +1
This paper addresses the challenge of dimension reduction (DR) in Bayesian inference of high-resolution two-or three-dimensional fields, where a priori parametrizations require a l…
physics.geo-ph2024
Neural machine translation of seismic waves for petrophysical inversion
José Cunha Teixeira, Ludovic Bodet, Agnès Rivière +7
Effective structural assessment of urban infrastructure is essential for sustainable land use and resilience to climate change and natural hazards. Seismic wave methods are widely…