Author

Ali Siahkoohi

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Review Sep 2026

Distributed Proximal Stein Variational Gradient Descent Algorithm for Large-scale Bayesian Inference in Traveltime Tomography

We present a distributed framework for large-scale Bayesian inverse problems governed by the eikonal equation, with a specific focus on seismic traveltime tomography. Traditional deterministic approaches often fail to provide the uncertainty quantification (UQ) necessary for ill-posed problems, while conventional Bayes...

Akshay Vishwakarma, K. Aghazade, Ali Siahkoohi et al. · 0 citations

#machine learning Preprint Jun 2026

Amortized quadrature for posterior expectations in inverse problems

The quadrature field is introduced, a set-equivariant network that maps an observation and its posterior samples to an $M$-node signed-weight quadrature in one forward pass and is validated on closed-form and on learned posteriors, where it improves on the Monte-Carlo estimate in median at every node count, often by or...

Ali Siahkoohi · 0 citations