Michael Gutmann

Neural Approximate Sufficient Statistics for Implicit Models pdf

Zhanxing Zhu, Aaron C. Courville, Aaron Courville, 2020, ICLR.

Extending the statistical software package Engine for Likelihood-Free Inference pdf

Michael Gutmann, Vasileios Gkolemis, Michael U Gutmann, 2020, ArXiv.

Parallel Gaussian Process Surrogate Bayesian Inference with Noisy Likelihood Evaluations

Aki Vehtari, Marko Jarvenpaa, Pekka Marttinen, 2019, Bayesian Analysis.

Gaussian process modelling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria

Aki Vehtari, Marko Jarvenpaa, Pekka Marttinen, 2016, The Annals of Applied Statistics.

Neural Approximate Sufficient Statistics for Implicit Models pdf

Zhanxing Zhu, Aaron Courville, Dinghuai Zhang, 2021, ICLR.

Unsupervised learning by discriminating data from artificial noise

Michael Gutmann, 2009 .