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20192026
most citedProjected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions

36 citations · 47 across the 5 of their papers we have counts for

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physics.comp-ph2022★ 4 cited

Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport

Ricardo Baptista, Lianghao Cao, Joshua Chen +4

We consider the Bayesian calibration of models describing the phenomenon of block copolymer (BCP) self-assembly using image data produced by microscopy or X-ray scattering techniqu…