An Extendable Python Implementation of Robust Optimization Monte Carlo. - Gkolemis, Vasilis; Gutmann, Michael; Pesonen, Henri (J. Stat. Softw., 2024)

An Extendable Python Implementation of Robust Optimisation Monte Carlo. - Gkolemis, Vasilis; Gutmann, Michael; Pesonen, Henri (CoRR, 2023)

Extending the statistical software package Engine for Likelihood-Free Inference. - Gkolemis, Vasileios; Gutmann, Michael (CoRR, 2020)

Simultaneous Estimation of Nongaussian Components and Their Correlation Structure. - Sasaki, Hiroaki; Gutmann, Michael; Shouno, Hayaru; Hyvärinen, Aapo (Neural Comput., 2017)

Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations. - Sasaki, Hiroaki; Gutmann, Michael; Shouno, Hayaru; Hyvärinen, Aapo (2014)

Correlated topographic analysis: estimating an ordering of correlated components. - Sasaki, Hiroaki; Gutmann, Michael; Shouno, Hayaru; Hyvärinen, Aapo (Mach. Learn., 2013)

Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics. - Gutmann, Michael; Hyvärinen, Aapo (J. Mach. Learn. Res., 2012)

Learning a selectivity-invariance-selectivity feature extraction architecture for images. - Gutmann, Michael; Hyvärinen, Aapo (2012)

Topographic Analysis of Correlated Components. - Sasaki, Hiroaki; Gutmann, Michael; Shouno, Hayaru; Hyvärinen, Aapo (2012)

Bregman divergence as general framework to estimate unnormalized statistical models - Gutmann, Michael; Hirayama, Junichiro (CoRR, 2012)

A Family of Computationally Efficient and Simple Estimators for Unnormalized Statistical Models - Pihlaja, Miika; Gutmann, Michael; Hyvärinen, Aapo (CoRR, 2012)

Complex-Valued Independent Component Analysis of Natural Images. - Laparra, Valero; Gutmann, Michael; Malo, Jesús; Hyvärinen, Aapo (2011)

Extracting Coactivated Features from Multiple Data Sets. - Gutmann, Michael; Hyvärinen, Aapo (2011)

Bregman divergence as general framework to estimate unnormalized statistical models. - Gutmann, Michael; Hirayama, Junichiro (2011)

A Family of Computationally E cient and Simple Estimators for Unnormalized Statistical Models. - Pihlaja, Miika; Gutmann, Michael; Hyvärinen, Aapo (2010)

Noise-contrastive estimation: A new estimation principle for unnormalized statistical models. - Gutmann, Michael; Hyvärinen, Aapo (2010)

Learning reconstruction and prediction of natural stimuli by a population of spiking neurons. - Gutmann, Michael; Hyvärinen, Aapo (2009)

Learning Features by Contrasting Natural Images with Noise. - Gutmann, Michael; Hyvärinen, Aapo (2009)

Learning Natural Image Structure with a Horizontal Product Model. - Köster, Urs; Lindgren, Jussi T.; Gutmann, Michael; Hyvärinen, Aapo (2009)

Toward data representation with spiking neurons. - Gutmann, Michael; Aihara, Kazuyuki (Artif. Life Robotics, 2008)

Learning encoding and decoding filters for data representation with a spiking neuron. - Gutmann, Michael; Hyvärinen, Aapo; Aihara, Kazuyuki (2008)

Linear controller for an inverted pendulum having restricted travel: A high-and-low gain approach. - Lin, Zongli; Saberi, Ali; Gutmann, Michael; Shamash, Yacov A. (Autom., 1996)