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Approximation results for neural network operators activated by sigmoidal functions JOURNAL ARTICLE published August 2013 in Neural Networks |
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Variational EM Learning of DSBNs with Conditional Deep Boltzmann Machines BOOK CHAPTER published 2014 in Artificial Neural Networks and Machine Learning – ICANN 2014 |
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Low-Cost Representation for Restricted Boltzmann Machines BOOK CHAPTER published 2014 in Neural Information Processing |
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Essential rate for approximation by spherical neural networks JOURNAL ARTICLE published September 2011 in Neural Networks Research funded by National 973 Project (2007CB311002) | National Natural Science Foundation of China (90818020,60873206) |
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Optimizing Throughput and Latency of Static 5G Multicast Networks using Boltzmann Machines PROCEEDINGS ARTICLE published 18 June 2023 in 2023 International Joint Conference on Neural Networks (IJCNN) |
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An evaluation of the performance of Restricted Boltzmann Machines as a model for anomaly network intrusion detection JOURNAL ARTICLE published October 2018 in Computer Networks Research funded by Air Force Research Laboratory (FA8750-18-1-0096,DE-AC05-76RL01830) | Pacific Northwest National Laboratory (FA8750-18-1-0096,DE-AC05-76RL01830) | U.S. Department of Energy (FA8750-18-1-0096,DE-AC05-76RL01830) |
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Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks JOURNAL ARTICLE published January 1990 in Neural Networks |
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Using Unlabeled Data to Discover Bivariate Causality with Deep Restricted Boltzmann Machines JOURNAL ARTICLE published 1 January 2020 in IEEE/ACM Transactions on Computational Biology and Bioinformatics Research funded by European Union's Seventh Framework Program (HEALTH-F4-2012-305312) |
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Information geometry of Boltzmann machines JOURNAL ARTICLE published March 1992 in IEEE Transactions on Neural Networks |
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Transformer Fault Diagnosis Using Restricted Boltzmann Machines PROCEEDINGS ARTICLE published January 2017 in Computer Science and Technology |
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Learning invariant color features with sparse topographic restricted Boltzmann machines PROCEEDINGS ARTICLE published September 2011 in 2011 18th IEEE International Conference on Image Processing |
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A high order Boltzmann machine configuration for transfer sequence searches in decomposed state machines PROCEEDINGS ARTICLE published 1989 in International Joint Conference on Neural Networks |
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Computation of deep belief networks using special-purpose hardware architecture PROCEEDINGS ARTICLE published July 2014 in 2014 International Joint Conference on Neural Networks (IJCNN) |
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Approximation of functions from Korobov spaces by deep convolutional neural networks JOURNAL ARTICLE published December 2022 in Advances in Computational Mathematics |
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Application of Support Vector Machines, Convolutional Neural Networks and Deep Belief Networks to Recognition of Partially Occluded Objects BOOK CHAPTER published 2014 in Artificial Intelligence and Soft Computing |
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Information flow in Deep Restricted Boltzmann Machines: An analysis of mutual information between inputs and outputs JOURNAL ARTICLE published October 2022 in Neurocomputing Research funded by Secretaría de Ciencia y Técnica, Universidad de Buenos Aires (20020170100470BA) | H2020 Marie Skłodowska-Curie Actions (792464) |
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Likelihood Estimation in Deep Belief Networks JOURNAL ARTICLE published 2010 in Frontiers in Computational Neuroscience |
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Design of wavelet neural networks based on symmetry fuzzy C-means for function approximation JOURNAL ARTICLE published December 2013 in Neural Computing and Applications |
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Generative Restricted Kernel Machines: A framework for multi-view generation and disentangled feature learning JOURNAL ARTICLE published March 2021 in Neural Networks |
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Performance of Deep and Shallow Neural Networks, the Universal Approximation Theorem, Activity Cliffs, and QSAR JOURNAL ARTICLE published January 2017 in Molecular Informatics |