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Hiroki Waida

Showing results (1-10 of 4) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|December 23, 2025
Noiseless Diffusion-GAN: Scaling-based data augmentation for generative modelsYoshitaka Koike, Takumi Nakagawa, Hiroki Waida, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 19, 2024
Investigating self-supervised image denoising with denaturationHiroki Waida, Kimihiro Yamazaki, Atsushi Tokuhisa, et al.
Neural Computation|May 15, 2023
Deep Clustering With a Constraint for Topological Invariance Based on Symmetric InfoNCEYuhui Zhang, Yuichiro Wada, Hiroki Waida, et al.
Neural Networks : the Official Journal of the International Neural Network Society|November 4, 2024
Denoising cosine similarity: A theory-driven approach for efficient representation learningTakumi Nakagawa, Yutaro Sanada, Hiroki Waida, et al.
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Showing results (1-10 of 4) with videos related to

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Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|December 23, 2025
Noiseless Diffusion-GAN: Scaling-based data augmentation for generative modelsYoshitaka Koike, Takumi Nakagawa, Hiroki Waida, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 19, 2024
Investigating self-supervised image denoising with denaturationHiroki Waida, Kimihiro Yamazaki, Atsushi Tokuhisa, et al.
Neural Computation|May 15, 2023
Deep Clustering With a Constraint for Topological Invariance Based on Symmetric InfoNCEYuhui Zhang, Yuichiro Wada, Hiroki Waida, et al.
Neural Networks : the Official Journal of the International Neural Network Society|November 4, 2024
Denoising cosine similarity: A theory-driven approach for efficient representation learningTakumi Nakagawa, Yutaro Sanada, Hiroki Waida, et al.
Pageof 1