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Michael Gutmann
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Research homepage of Michael U. Gutmann, University of Edinburgh. Research topics include machine learning, approximate Bayesian inference, experimental design, energy-based models.
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Michael Gutmann
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Michael Gutmann
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2025-12-21 10:34:01
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Michael Gutmann Skip to primary navigation Skip to content Skip to footer Michael Gutmann Publications Teaching Contact Toggle menu Michael Gutmann Senior Lecturer (Associate Professor) in Machine Learning. Follow Email GitHub Google Scholar Semantic Scholar Edinburgh Research Explorer I am a Senior Lecturer in Machine Learning at the School of Informatics of the University of Edinburgh, affiliated with the Institute for Adaptive & Neural Computation. My research is in machine learning for science, with a focus on developing methods for (Bayesian) inference and design. Recent papers: eLife: Designing Optimal Behavioral Experiments Using Machine Learning TMLR: Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral Sampling JMLR: Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data ICML: Is Learning Summary Statistics Necessary for Likelihood-free Inference? ...
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