Michael Gutmann

According to our database1, Michael Gutmann authored at least 20 papers between 1996 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
An Extendable Python Implementation of Robust Optimisation Monte Carlo.
CoRR, 2023

2020
Extending the statistical software package Engine for Likelihood-Free Inference.
CoRR, 2020

2017
Simultaneous Estimation of Nongaussian Components and Their Correlation Structure.
Neural Comput., 2017

2014
Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Correlated topographic analysis: estimating an ordering of correlated components.
Mach. Learn., 2013

2012
Topographic Analysis of Correlated Components.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics.
J. Mach. Learn. Res., 2012

A Family of Computationally Efficient and Simple Estimators for Unnormalized Statistical Models
CoRR, 2012

Learning a selectivity-invariance-selectivity feature extraction architecture for images.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Bregman divergence as general framework to estimate unnormalized statistical models.
Proceedings of the UAI 2011, 2011

Complex-Valued Independent Component Analysis of Natural Images.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Extracting Coactivated Features from Multiple Data Sets.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

A Family of Computationally E cient and Simple Estimators for Unnormalized Statistical Models.
Proceedings of the UAI 2010, 2010

2009
Learning Natural Image Structure with a Horizontal Product Model.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Learning Features by Contrasting Natural Images with Noise.
Proceedings of the Artificial Neural Networks, 2009

Learning reconstruction and prediction of natural stimuli by a population of spiking neurons.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008
Toward data representation with spiking neurons.
Artif. Life Robotics, 2008

Learning encoding and decoding filters for data representation with a spiking neuron.
Proceedings of the International Joint Conference on Neural Networks, 2008

1996
Linear controller for an inverted pendulum having restricted travel: A high-and-low gain approach.
Autom., 1996


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