77 citations · 371 across the 21 of their papers we have counts for
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astro-ph.IM2022★ 7 cited
Deep-learning Real/Bogus classification for the Tomo-e Gozen transient survey
Ichiro Takahashi, Ryo Hamasaki, Naonori Ueda +5
We present a deep neural network Real/Bogus classifier that improves classification performance in the Tomo-e Gozen transient survey by handling label errors in the training data.…
stat.ML2022★ 1 cited
Excess risk analysis for epistemic uncertainty with application to variational inference
Futoshi Futami, Tomoharu Iwata, Naonori Ueda +2
Bayesian deep learning plays an important role especially for its ability evaluating epistemic uncertainty (EU). Due to computational complexity issues, approximation methods such…