Author

Jia-Jia Sun

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Review Sep 2026

Continental-scale probabilistic resistivity imaging of Australia using deep learning: Implications for geology, groundwater, and critical minerals

Electrical resistivity is a fundamental physical property that provides powerful constraints on subsurface structure, lithology, fluid distribution, and mineralization. We present a continental-scale electrical resistivity model of Australia's shallow crust with quantified uncertainty, extending to depths of up to ~650...

Si-Hong Wu, Jia-Jia Sun, Jiefu Chen · 0 citations

Oct 2026

Demystifying and unifying ELBO for Probabilistic Deep Learning Inversion

Variational inference has emerged as a computationally efficient framework for solving Bayesian inverse problems. Rather than relying on random sampling in high-dimensional model spaces, it reformulates probabilistic inference as an optimization problem, marking a fundamental shift from sampling-based to optimization...

Jia-Jia Sun, Si-Hong Wu · The Leading Edge · 0 citations

Open access Sep 2026

Probabilistic inversion of electromagnetic data using stein variational gradient descent

Geophysical inversion is inherently non-unique, and efficient uncertainty quantification remains a major challenge for large-scale applications. Conventional Bayesian approaches, such as Markov chain Monte Carlo (McMC), provide rigorous posterior estimates but are often computationally prohibitive, while deterministi...

Si-Hong Wu, Jia-Jia Sun · Geophysical Journal Internat... · 0 citations