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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.
- Teaching
Research homepage of Michael U. Gutmann, University of...
- Publications
Research homepage of Michael U. Gutmann, University of...
- Teaching
MU Gutmann, A Hyvärinen. Journal of machine learning research 13 (2) , 2012. 912. 2012. Veegan: Reducing mode collapse in gans using implicit variational learning. A Srivastava, L Valkov, C Russell, MU Gutmann, C Sutton. Advances in neural information processing systems 30. , 2017.
Michael Gutmann. Position. Senior Lecturer in Machine Learning. Roles. Member of Institute for Adaptive and Neural Computation. Cohort Lead of MSC (Artificial Intelligence) Deputy Director of Biomedical AI CDT 2019-2027. Honours project supervision of Standard allocation.
Michael Gutmann is a senior lecturer in machine learning in the Institute for Adaptive and Neural Computation at the School of Informatics. He previously worked at the Department of Mathematics and Statistics, and the Department of Computer Science at the University of Helsinki and Aalto University in Helsinki, Finland.
Research homepage of Michael U. Gutmann, University of Edinburgh. Research topics include machine learning, approximate Bayesian inference, experimental design, energy-based models.
Research homepage of Michael U. Gutmann, University of Edinburgh. Research topics include machine learning, approximate Bayesian inference, experimental design, energy-based models.
Michael Gutmann is a senior lecturer in machine learning in the Institute for Adaptive and Neural Computation at the School of Informatics and he leads our new work package on Quantum Optimisation and Machine Learning.
