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05/13/2022
Convergence Analysis of Deep Residual Networks
Various powerful deep neural network architectures have made great contr...
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05/13/2022
Convergence of Deep Neural Networks with General Activation Functions and Pooling
Deep neural networks, as a powerful system to represent high dimensional...
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04/24/2021
Exploring Multi-dimensional Data via Subset Embedding
Multi-dimensional data exploration is a classic research topic in visual...
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03/04/2019
Approximations of Shannon Mutual Information for Discrete Variables with Applications to Neural Population Coding
Although Shannon mutual information has been widely used, its effective ...
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02/01/2017
Information-theoretic interpretation of tuning curves for multiple motion directions
We have developed an efficient information-maximization method for compu...
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11/07/2016