135 citations · 886 across the 57 of their papers we have counts for
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Efficient Bayesian Inference of Atomistic Structure in Complex Functional Materials
Milica Todorović, Michael U. Gutmann, Jukka Corander +1
Tailoring the functional properties of advanced organic/inorganic heterogeonous devices to their intended technological applications requires knowledge and control of the microscop…
ELFI: Engine for Likelihood-Free Inference
Jarno Lintusaari, Henri Vuollekoski, Antti Kangasrääsiö +7
Engine for Likelihood-Free Inference (ELFI) is a Python software library for performing likelihood-free inference (LFI). ELFI provides a convenient syntax for arranging components…
Statistical properties of interaction parameter estimates in direct coupling analysis
Yingying Xu, Erik Aurell, Jukka Corander +1
We consider the statistical properties of interaction parameter estimates obtained by the direct coupling analysis (DCA) approach to learning interactions from large data sets. Ass…
Inferring Cognitive Models from Data using Approximate Bayesian Computation
Antti Kangasrääsiö, Kumaripaba Athukorala, Andrew Howes +3
An important problem for HCI researchers is to estimate the parameter values of a cognitive model from behavioral data. This is a difficult problem, because of the substantial comp…