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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.
- Publications
Research homepage of Michael U. Gutmann, University of...
- Teaching
Research homepage of Michael U. Gutmann, University of...
- Publications
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.
- Refereed Paperspermalink
- Teaching Materialspermalink
- Workshop and Other Paperspermalink
An Extendable Python Implementation of Robust Optimisation Monte Carlo V. Gkolemis, M. Gutmann, and H. Pesonen Journal of Statistical Software 2023 @article{Gkolemis2023a, author = {Gkolemis, Vasil...Bayesian Optimization with Informative Covariance A. Eduardo, and M. Gutmann Transactions on Machine Learning Research 2023 @article{Eduardo2023a, author = {Eduardo, Afonso and Gutmann, Michael U.}...Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression A. Srivastava, S. Han, K. Xu, B. Rhodes, and M. Gutmann Transactions on Machine Learni...Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data V. Simkus, B. Rhodes, and M. Gutmann Journal of Machine Learning Research 2023 @article{Simkus2023a, author = {Simk...Pen and Paper Exercises in Machine Learning M. Gutmann University of Edinburgh 2022 @techreport{Gutmann2022b, author = {Gutmann, Michael U.}, title = {Pen and Paper Exercises in Machine Learning},...
Bayesian Optimal Experimental Design for Simulator Models of Cognition S. Valentin, S. Kleinegesse, N. Bramley, M. Gutmann, and C. Lucas In NeurIPS 2021 Workshop "AI for Science" 2021 @inproceeding...Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds S. Kleinegesse, and M. Gutmann arXiv:2105.04379 2021 @article{Kleinegesse2021a, author = {Klein...To Stir or Not to Stir: Online Estimation of Liquid Properties for Pouring Actions T. Lopez Guevara, R. Pucci, N. Taylor, M. Gutmann, S. Ramamoorthy, and K. Subr In Workshop on Learning and Inferen...Dynamic Likelihood-free Inference via Ratio Estimation (DIRE) T. Dinev, and M. Gutmann arXiv:1810.09899 2018 @article{Dinev2018, author = {Dinev, T. and Gutmann, M.U.}, journal = {arXiv:1810.09899}...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.
