most citedPSP-GEN: Stochastic inversion of the Process-Structure-Property chain in materials design through deep, generative probabilistic modeling

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stat.ML2024

Weak neural variational inference for solving Bayesian inverse problems without forward models: applications in elastography

Vincent C. Scholz, Yaohua Zang, Phaedon-Stelios Koutsourelakis

In this paper, we introduce a novel, data-driven approach for solving high-dimensional Bayesian inverse problems based on partial differential equations (PDEs), called Weak Neural…