13 citations · 13 across the 2 of their papers we have counts for
3 papers
q-bio.NC2021
Counterfactual Explanation of Brain Activity Classifiers using Image-to-Image Transfer by Generative Adversarial Network
Teppei Matsui, Masato Taki, Trung Quang Pham +2
Deep neural networks (DNNs) can accurately decode task-related information from brain activations. However, because of the nonlinearity of the DNN, the decisions made by DNNs are h…
astro-ph.HE2021
Machine learning application to Fermi-LAT data: sharpening all-sky map and emphasizing variable sources
Shogo Sato, Jun Kataoka, Soichiro Ito +6
A novel application of machine-learning (ML) based image processing algorithms is proposed to analyze an all-sky map (ASM) obtained using the Fermi Gamma-ray Space Telescope. An at…
cs.LG2017★ 13 cited
Deep Residual Networks and Weight Initialization
Masato Taki
Residual Network (ResNet) is the state-of-the-art architecture that realizes successful training of really deep neural network. It is also known that good weight initialization of…