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

JOURNAL ARTICLE published May 2011 in Neural Computation

Authors: Guido Montufar | Nihat Ay

https://doi.org/10.1162/neco_a_00113 Actions

Scaling of model approximation errors and expected entropy distances

JOURNAL ARTICLE published 22 May 2014 in Kybernetika

Authors: Guido F. Montúfar | Johannes Rauh

https://doi.org/10.14736/kyb-2014-2-0234 Actions

Expressive power of complex-valued restricted Boltzmann machines for solving nonstoquastic Hamiltonians

JOURNAL ARTICLE published 31 October 2022 in Physical Review B

Research funded by Deutsche Forschungsgemeinschaft (277101999)

Authors: Chae-Yeun Park | Michael J. Kastoryano

https://doi.org/10.1103/physrevb.106.134437 Actions

On the Fisher Metric of Conditional Probability Polytopes

JOURNAL ARTICLE published 6 June 2014 in Entropy

Authors: Guido Montúfar | Johannes Rauh | Nihat Ay

https://doi.org/10.3390/e16063207 Actions

Affect-expressive movement generation with factored conditional Restricted Boltzmann Machines

PROCEEDINGS ARTICLE published September 2015 in 2015 International Conference on Affective Computing and Intelligent Interaction (ACII)

Authors: Omid Alemi | William Li | Philippe Pasquier

https://doi.org/10.1109/acii.2015.7344608 Actions

Selection Criteria for Neuromanifolds of Stochastic Dynamics

BOOK CHAPTER published 2013 in Advances in Cognitive Neurodynamics (III)

Authors: Nihat Ay | Guido Montúfar | Johannes Rauh

https://doi.org/10.1007/978-94-007-4792-0_20 Actions

Restricted Boltzmann Machines Implemented by SpinOrbit Torque Magnetic Tunnel Junctions

COMPONENT published

https://doi.org/10.1021/acs.nanolett.3c04820.s002 Actions

Restricted Boltzmann Machines Implemented by SpinOrbit Torque Magnetic Tunnel Junctions

COMPONENT published

https://doi.org/10.1021/acs.nanolett.3c04820.s001 Actions

Restricted Boltzmann Machines Implemented by SpinOrbit Torque Magnetic Tunnel Junctions

COMPONENT published

https://doi.org/10.1021/acs.nanolett.3c04820.s005 Actions

Restricted Boltzmann Machines Implemented by SpinOrbit Torque Magnetic Tunnel Junctions

COMPONENT published

https://doi.org/10.1021/acs.nanolett.3c04820.s004 Actions

Restricted Boltzmann Machines Implemented by SpinOrbit Torque Magnetic Tunnel Junctions

COMPONENT published

https://doi.org/10.1021/acs.nanolett.3c04820.s003 Actions

MODELING SPEECH PERCEPTION WITH RESTRICTED BOLTZMANN MACHINES

PROCEEDINGS ARTICLE published August 2011 in Connectionist Models of Neurocognition and Emergent Behavior

Authors: Michael Klein | Louis ten Bosch | Lou Boves

https://doi.org/10.1142/9789814340359_0007 Actions

Towards the representational power of restricted Boltzmann machines

JOURNAL ARTICLE published November 2020 in Neurocomputing

Research funded by Shenzhen Key Laboratory for Exascale Engineering and Scientific Computing (ZDSYS201703031711426) | China Postdoctoral Science Foundation (2019M66318) | National Natural Science Foundation of China (11901113 and 11771458) | Guangzhou Science and Technology Plan Project (201904010225) | Guangdong Province Key Laboratory of Computational Science (2020B1212060032)

Authors: Linyan Gu | Feng Zhou | Lihua Yang

https://doi.org/10.1016/j.neucom.2020.07.090 Actions

Approximation properties of Gaussian-binary restricted Boltzmann machines and Gaussian-binary deep belief networks

JOURNAL ARTICLE published September 2022 in Neural Networks

Authors: Linyan Gu | Lihua Yang | Feng Zhou

https://doi.org/10.1016/j.neunet.2022.05.020 Actions

Restricted Boltzmann Machines: Introduction and Review

BOOK CHAPTER published 2018 in Information Geometry and Its Applications

Authors: Guido Montúfar

https://doi.org/10.1007/978-3-319-97798-0_4 Actions

Analysis on Noisy Boltzmann Machines and Noisy Restricted Boltzmann Machines

JOURNAL ARTICLE published 2021 in IEEE Access

Research funded by Research Grant from City University of Hong Kong (9610431)

Authors: Wenhao Lu | Chi-Sing Leung | John Sum

https://doi.org/10.1109/access.2021.3102275 Actions

Maximal Information Divergence from Statistical Models Defined by Neural Networks

BOOK CHAPTER published 2013 in Lecture Notes in Computer Science

Authors: Guido Montúfar | Johannes Rauh | Nihat Ay

https://doi.org/10.1007/978-3-642-40020-9_85 Actions

A tutorial on stochastic approximation algorithms for training Restricted Boltzmann Machines and Deep Belief Nets

PROCEEDINGS ARTICLE published January 2010 in 2010 Information Theory and Applications Workshop (ITA)

Authors: Kevin Swersky | Bo Chen | Ben Marlin | Nando de Freitas

https://doi.org/10.1109/ita.2010.5454138 Actions

A Beginner's Tutorial of Restricted Boltzmann Machines

POSTED CONTENT published

Authors: Yiping Cheng

https://doi.org/10.20944/preprints202003.0337.v1 Actions

An Implementation of Deep Belief Networks Using Restricted Boltzmann Machines in Clojure

DISSERTATION published

Authors: James Sims

https://doi.org/10.23860/thesis-sims-james-2016 Actions
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