# Guido Montúfar

According to our database

Collaborative distances:

^{1}, Guido Montúfar authored at least 19 papers between 2011 and 2018.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2018

Computing the Unique Information.

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017

Hierarchical models as marginals of hierarchical models.

Int. J. Approx. Reasoning, 2017

Morphological computation: The good, the bad, and the ugly.

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Geometry of Policy Improvement.

Proceedings of the Geometric Science of Information - Third International Conference, 2017

2016

Evaluating Morphological Computation in Muscle and DC-Motor Driven Models of Hopping Movements.

Front. Robotics and AI, 2016

2015

When Does a Mixture of Products Contain a Product of Mixtures?

SIAM J. Discrete Math., 2015

A Theory of Cheap Control in Embodied Systems.

PLoS Computational Biology, 2015

Discrete restricted Boltzmann machines.

Journal of Machine Learning Research, 2015

Geometry and expressive power of conditional restricted Boltzmann machines.

Journal of Machine Learning Research, 2015

2014

Universal Approximation Depth and Errors of Narrow Belief Networks with Discrete Units.

Neural Computation, 2014

Scaling of model approximation errors and expected entropy distances.

Kybernetika, 2014

On the Fisher Metric of Conditional Probability Polytopes.

Entropy, 2014

On the Number of Linear Regions of Deep Neural Networks.

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Mixture decompositions of exponential families - using a decomposition of their sample spaces.

Kybernetika, 2013

Universally typical sets for ergodic sources of multidimensional data.

Kybernetika, 2013

Maximal Information Divergence from Statistical Models Defined by Neural Networks.

Proceedings of the Geometric Science of Information - First International Conference, 2013

2012

On the expressive power of discrete mixture models, restricted Boltzmann machines, and deep belief networks: a unified mathematical treatment.

PhD thesis, 2012

2011

Refinements of Universal Approximation Results for Deep Belief Networks and Restricted Boltzmann Machines.

Neural Computation, 2011

Expressive Power and Approximation Errors of Restricted Boltzmann Machines.

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011