Cost-conscious mutual information maximization for improving collective interpretation of multi-layered neural networks - researchr publication related

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Ryotaro Kamimura. Cost-conscious mutual information maximization for improving collective interpretation of multi-layered neural networks. Neurocomputing, 409:259-274, 2020. [doi]

The following publications are possibly variants of this publication:

Mutual information maximization for improving and interpreting multi-layered neural networksRyotaro Kamimura. ssci 2017: 1-7 [doi]

Cost-Conscious Internal Information Maximization for Disentangling and Interpreting Multi-layered Neural NetworksRyotaro Kamimura. his 2021: 606-616 [doi]

Improving collective interpretation by extended potentiality assimilation for multi-layered neural networksRyotaro Kamimura, Haruhiko Takeuchi. connection, 32(2):174-203, 2020. [doi]

Supposed Maximum Mutual Information for Improving Generalization and Interpretation of Multi-Layered Neural NetworksRyotaro Kamimura. jaiscr, 9(2):123-147, 2019. [doi]

Correlation-Constrained Mutual Information Maximization for Interpretable Multi-Layered Neural NetworksRyotaro Kamimura, Haruhiko Takeuchi. scisisis 2018: 123-130 [doi]

Collective mutual information maximization to unify passive and positive approaches for improving interpretation and generalizationRyotaro Kamimura. NN, 90:56-71, 2017. [doi]

Mutual Information Generation for Improving Generalization and Interpretation in Neural NetworksRyotaro Kamimura. ijcnn 2019: 1-8 [doi]

Autoeoncoders and Information Augmentation for Improved Generalization and Interpretation in Multi-layered Neural NetworksRyotaro Kamimura. iscbi 2018: 52-58 [doi]

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