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…
stat.ML2022★ 7 cited
A stochastic Stein Variational Newton method
Alex Leviyev, Joshua Chen, Yifei Wang +2
Stein variational gradient descent (SVGD) is a general-purpose optimization-based sampling algorithm that has recently exploded in popularity, but is limited by two issues: it is k…