Michael Gutmann

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 3

Top Topics

Software Packages

Monte Carlo Methods

Matrix Inversion

Top Venues

Publications

Vasilis Gkolemis, Michael Gutmann, Henri Pesonen
An Extendable Python Implementation of Robust Optimisation Monte Carlo. CoRR (2023)
Vasileios Gkolemis, Michael Gutmann
Extending the statistical software package Engine for Likelihood-Free Inference. CoRR (2020)
Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen
Simultaneous Estimation of Nongaussian Components and Their Correlation Structure. Neural Comput. 29 (11) (2017)
Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen
Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations. AISTATS (2014)
Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen
Correlated topographic analysis: estimating an ordering of correlated components. Mach. Learn. 92 (2-3) (2013)
Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen
Topographic Analysis of Correlated Components. ACML (2012)
Michael Gutmann, Aapo Hyvärinen
Learning a selectivity-invariance-selectivity feature extraction architecture for images. ICPR (2012)
Miika Pihlaja, Michael Gutmann, Aapo Hyvärinen
A Family of Computationally Efficient and Simple Estimators for Unnormalized Statistical Models CoRR (2012)
Michael Gutmann, Junichiro Hirayama
Bregman divergence as general framework to estimate unnormalized statistical models CoRR (2012)
Michael Gutmann, Aapo Hyvärinen
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics. J. Mach. Learn. Res. 13 (2012)
Michael Gutmann, Junichiro Hirayama
Bregman divergence as general framework to estimate unnormalized statistical models. UAI (2011)
Michael Gutmann, Aapo Hyvärinen
Extracting Coactivated Features from Multiple Data Sets. ICANN (1) (2011)
Valero Laparra, Michael Gutmann, Jesús Malo, Aapo Hyvärinen
Complex-Valued Independent Component Analysis of Natural Images. ICANN (2) (2011)
Miika Pihlaja, Michael Gutmann, Aapo Hyvärinen
A Family of Computationally E cient and Simple Estimators for Unnormalized Statistical Models. UAI (2010)
Michael Gutmann, Aapo Hyvärinen
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models. AISTATS (2010)
Michael Gutmann, Aapo Hyvärinen
Learning Features by Contrasting Natural Images with Noise. ICANN (2) (2009)
Michael Gutmann, Aapo Hyvärinen
Learning reconstruction and prediction of natural stimuli by a population of spiking neurons. ESANN (2009)
Urs Köster, Jussi T. Lindgren, Michael Gutmann, Aapo Hyvärinen
Learning Natural Image Structure with a Horizontal Product Model. ICA (2009)
Michael Gutmann, Kazuyuki Aihara
Toward data representation with spiking neurons. Artif. Life Robotics 12 (1-2) (2008)
Michael Gutmann, Aapo Hyvärinen, Kazuyuki Aihara
Learning encoding and decoding filters for data representation with a spiking neuron. IJCNN (2008)
Zongli Lin, Ali Saberi, Michael Gutmann, Yacov A. Shamash
Linear controller for an inverted pendulum having restricted travel: A high-and-low gain approach. Autom. 32 (6) (1996)