Hiroki Waida

According to our database, Hiroki Waida authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Noiseless Diffusion-GAN: Scaling-based data augmentation for generative models.

Yoshitaka Koike, Takumi Nakagawa, Hiroki Waida, Takafumi Kanamori

Neural Networks, 2026

2025

Investigating self-supervised image denoising with denaturation.

Hiroki Waida, Kimihiro Yamazaki, Atsushi Tokuhisa, Mutsuyo Wada, Yuichiro Wada

Neural Networks, 2025

2024

Denoising cosine similarity: A theory-driven approach for efficient representation learning.

Takumi Nakagawa, Yutaro Sanada, Hiroki Waida, Yuhui Zhang, Yuichiro Wada, Kosaku Takanashi, Tomonori Yamada, Takafumi Kanamori

Neural Networks, January, 2024

Scaling-based Data Augmentation for Generative Models and its Theoretical Extension.

Yoshitaka Koike, Takumi Nakagawa, Hiroki Waida, Takafumi Kanamori

CoRR, 2024

Robust VAEs via Generating Process of Noise Augmented Data.

Hiroo Irobe, Wataru Aoki, Kimihiro Yamazaki, Yuhui Zhang, Takumi Nakagawa, Hiroki Waida, Yuichiro Wada, Takafumi Kanamori

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

Deep Clustering With a Constraint for Topological Invariance Based on Symmetric InfoNCE.

Yuhui Zhang, Yuichiro Wada, Hiroki Waida, Kaito Goto, Yusaku Hino, Takafumi Kanamori

Neural Comput., July, 2023

Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis.

Hiroki Waida, Yuichiro Wada, Léo Andéol, Takumi Nakagawa, Yuhui Zhang, Takafumi Kanamori

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023