Michael Gutmann

发表

Pattern Recognition (ICPR), 2012 21st International Conference on

Aapo Hyvärinen, Michael Gutmann, A. Hyvärinen, 2012 .

Complex-Valued Independent Component Analysis of Natural Images

Aapo Hyvärinen, Valero Laparra, Michael Gutmann, 2011, ICANN.

Correlated topographic analysis: estimating an ordering of correlated components

Aapo Hyvärinen, Michael Gutmann, Hayaru Shouno, 2013, Machine Learning.

Proc. Int. Joint Conference on Neural Networks (IJCNN)

Kazuyuki Aihara, Aapo Hyvärinen, Michael Gutmann, 2008 .

Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS)

Aapo Hyvärinen, Michael Gutmann, A. Hyvärinen, 2010 .

Extracting Coactivated Features from Multiple Data Sets

Aapo Hyvärinen, Michael Gutmann, 2011, ICANN.

Topographic Analysis of Correlated Components

Aapo Hyvärinen, Michael Gutmann, Hayaru Shouno, 2012, ACML.

Learning reconstruction and prediction of natural stimuli by a population of spiking neurons

Aapo Hyvärinen, Michael Gutmann, 2009, ESANN.

Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations

Aapo Hyvärinen, Michael Gutmann, Hayaru Shouno, 2014, AISTATS.

Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics

Aapo Hyvärinen, Michael Gutmann, A. Hyvärinen, 2012, J. Mach. Learn. Res..

Noise-contrastive estimation: A new estimation principle for unnormalized statistical models

Aapo Hyvärinen, Michael Gutmann, A. Hyvärinen, 2010, AISTATS.

A Family of Computationally E cient and Simple Estimators for Unnormalized Statistical Models

Aapo Hyvärinen, Michael Gutmann, Miika Pihlaja, 2010, UAI.

Learning Natural Image Structure with a Horizontal Product Model

Aapo Hyvärinen, Michael Gutmann, Urs Köster, 2009, ICA.

Linear controller for an inverted pendulum having restricted travel: A high-and-low gain approach

Ali Saberi, Zongli Lin, Michael Gutmann, 1996, Autom..

17th European Symposium on Artificial Neural Networks (ESANN)

Aapo Hyvärinen, Michael Gutmann, Michael U Gutmann, 2009 .

Simultaneous Estimation of Nongaussian Components and Their Correlation Structure

Aapo Hyvärinen, Michael Gutmann, Hayaru Shouno, 2015, Neural Computation.

Learning Features by Contrasting Natural Images with Noise

Aapo Hyvärinen, Michael Gutmann, A. Hyvärinen, 2009, ICANN.

Bregman divergence as general framework to estimate unnormalized statistical models

Junichiro Hirayama, Michael Gutmann, Michael U Gutmann, 2011, UAI.

Learning a selectivity-invariance-selectivity feature extraction architecture for images

Aapo Hyvärinen, Michael Gutmann, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Learning encoding and decoding filters for data representation with a spiking neuron

Kazuyuki Aihara, Aapo Hyvärinen, Michael Gutmann, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Linear controller for an inverted pendulum having restricted travel-a high-and-low gain approach

Ali Saberi, Zongli Lin, Michael Gutmann, 1995, Proceedings of 1995 American Control Conference - ACC'95.