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General Electric Research
- Niskayuna, NY, United States
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bayesian_adaptation_VIGeodMC
bayesian_adaptation_VIGeodMC PublicContains the tool functions to implement the Bayesian methodology presented in the paper "Bayesian adaptation of chaos representations using variational inference and sampling on geodesics"
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py-orthpol
py-orthpol PublicForked from PredictiveScienceLab/py-orthpol
Construct orhogonal polynomials using Python
Fortran
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variational-reformulation-of-inverse-problems
variational-reformulation-of-inverse-problems PublicForked from ebilionis/variational-reformulation-of-inverse-problems
Code accompanying the paper: Variational Reformulation of Bayesian Inverse Problems, by. Tsilifis P., Bilionis I., Katsounaros I. and Zabaras N.
Python
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