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stat.ML2020★ 3 cited
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…
stat.ML2020
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…