495 citations · 932 across the 37 of their papers we have counts for
4 papers · 1 filter
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…
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Akash Srivastava, Lazar Valkov, Chris Russell +2
Deep generative models provide powerful tools for distributions over complicated manifolds, such as those of natural images. But many of these methods, including generative adversa…
Efficient acquisition rules for model-based approximate Bayesian computation
Marko Järvenpää, Michael U. Gutmann, Arijus Pleska +2
Approximate Bayesian computation (ABC) is a method for Bayesian inference when the likelihood is unavailable but simulating from the model is possible. However, many ABC algorithms…