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Michael U. Gutmann
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Michael U. Gutmann15 visible / 15 total nodes / 29 links

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Co-authorshipCo-authorshipCo-authorshipAuthorshipAuthorshipAuthorshipWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalAuthorshipMichael U. GutmannAMichael U. GutmannResearcherSequential Design of Genetic Circuits Under Uncertainty With Reinforcement LearningWSequential Design of Ge...preprint / 2026Michal KobielaAMichal KobielaResearcherDiego A. OyarzúnADiego A. OyarzúnResearcherStatistical applications of contrastive learningWStatistical application...preprint / 2022Pen and Paper Exercises in Machine LearningWPen and Paper Exercises...preprint / 2022Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical ModelsWBayesian Optimization f...preprint / 2015Machine LearningTMachine Learning49008 worksBayesian Experimental Design for Implicit Models by Mutual Information Neural EstimationWBayesian Experimental D...preprint / 2020Robust Optimisation Monte CarloWRobust Optimisation Mon...preprint / 2020Adaptive Approximate Bayesian Computation Tolerance SelectionWAdaptive Approximate Ba...preprint / 2020Sequential Bayesian Experimental Design for Implicit Models via Mutual InformationWSequential Bayesian Exp...preprint / 2020Generative Ratio Matching NetworksWGenerative Ratio Matchi...preprint / 2020Direct Learning of Sparse Changes in Markov Networks by Density Ratio EstimationWDirect Learning of Spar...preprint / 2014Likelihood-free inference by ratio estimationWLikelihood-free inferen...preprint / 2020
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Michael U. Gutmann

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PaperSequential Design of Genetic Circuits Under Uncertainty With Reinforcement LearningAuthorship / preprint / 2026PersonMichal KobielaCo-authorship / ResearcherPersonDiego A. OyarzúnCo-authorship / ResearcherPaperStatistical applications of contrastive learningAuthorship / preprint / 2022PaperPen and Paper Exercises in Machine LearningAuthorship / preprint / 2022PaperBayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical ModelsAuthorship / preprint / 2015TopicMachine LearningWorks on / 49008 worksPaperBayesian Experimental Design for Implicit Models by Mutual Information Neural EstimationAuthorship / preprint / 2020

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