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cs.LG2023
Free energy of Bayesian Convolutional Neural Network with Skip Connection
Shuya Nagayasu, Sumio Watanabe
Since the success of Residual Network(ResNet), many of architectures of Convolutional Neural Networks(CNNs) have adopted skip connection. While the generalization performance of CN…
cs.LG2023
Bayesian Free Energy of Deep ReLU Neural Network in Overparametrized Cases
Shuya Nagayasu, Sumio Watanabe
In many research fields in artificial intelligence, it has been shown that deep neural networks are useful to estimate unknown functions on high dimensional input spaces. However,…
cs.LG2023
Upper Bound of Real Log Canonical Threshold of Tensor Decomposition and its Application to Bayesian Inference
Naoki Yoshida, Sumio Watanabe
Tensor decomposition is now being used for data analysis, information compression, and knowledge recovery. However, the mathematical property of tensor decomposition is not yet ful…