3 citations · 3 across the 1 of their papers we have counts for
4 papers
Measuring QCD Splittings with Invertible Networks
Sebastian Bieringer, Anja Butter, Theo Heimel +4
QCD splittings are among the most fundamental theory concepts at the LHC. We show how they can be studied systematically with the help of invertible neural networks. These networks…
Amortized Bayesian Inference for Models of Cognition
Stefan T. Radev, Andreas Voss, Eva Marie Wieschen +1
As models of cognition grow in complexity and number of parameters, Bayesian inference with standard methods can become intractable, especially when the data-generating model is of…
Amortized Bayesian model comparison with evidential deep learning
Stefan T. Radev, Marco D'Alessandro, Ulf K. Mertens +3
Comparing competing mathematical models of complex natural processes is a shared goal among many branches of science. The Bayesian probabilistic framework offers a principled way t…
A Bayesian brain model of adaptive behavior: An application to the Wisconsin Card Sorting Task
Marco D'Alessandro, Stefan T. Radev, Andreas Voss +1
Adaptive behavior emerges through a dynamic interaction between cognitive agents and changing environmental demands. The investigation of information processing underlying adaptive…