Hiroki Waida - RankMe

12 papers B 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Noiseless Diffusion-GAN: Scaling-based data augmentation for generative models. Neural Networks Yoshitaka Koike, Takumi Nakagawa, Hiroki Waida, Takafumi Kanamori
2025	J	`jnl`	Investigating self-supervised image denoising with denaturation. Neural Networks Hiroki Waida, Kimihiro Yamazaki, Atsushi Tokuhisa, Mutsuyo Wada, Yuichiro Wada
2024	J	`jnl`	Denoising cosine similarity: A theory-driven approach for efficient representation learning. Neural Networks Takumi Nakagawa, Yutaro Sanada, Hiroki Waida, Yuhui Zhang, Yuichiro Wada, Kosaku Takanashi, Tomonori Yamada, Takafumi Kanamori
2024	J	`jnl`	Investigating Self-Supervised Image Denoising with Denaturation. CoRR Hiroki Waida, Kimihiro Yamazaki, Atsushi Tokuhisa, Mutsuyo Wada, Yuichiro Wada
2024	B	`conf`	Robust VAEs via Generating Process of Noise Augmented Data. ISIT Hiroo Irobe, Wataru Aoki, Kimihiro Yamazaki, Yuhui Zhang, Takumi Nakagawa, Hiroki Waida, Yuichiro Wada, Takafumi Kanamori
2024	J	`jnl`	Robust VAEs via Generating Process of Noise Augmented Data. CoRR Hiroo Irobe, Wataru Aoki, Kimihiro Yamazaki, Yuhui Zhang, Takumi Nakagawa, Hiroki Waida, Yuichiro Wada, Takafumi Kanamori
2024	J	`jnl`	Scaling-based Data Augmentation for Generative Models and its Theoretical Extension. CoRR Yoshitaka Koike, Takumi Nakagawa, Hiroki Waida, Takafumi Kanamori
2023	J	`jnl`	Deep Clustering With a Constraint for Topological Invariance Based on Symmetric InfoNCE. Neural Comput. Yuhui Zhang, Yuichiro Wada, Hiroki Waida, Kaito Goto, Yusaku Hino, Takafumi Kanamori
2023	J	`jnl`	Deep Clustering with a Constraint for Topological Invariance based on Symmetric InfoNCE. CoRR Yuhui Zhang, Yuichiro Wada, Hiroki Waida, Kaito Goto, Yusaku Hino, Takafumi Kanamori
2023	J	`jnl`	Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning. CoRR Takumi Nakagawa, Yutaro Sanada, Hiroki Waida, Yuhui Zhang, Yuichiro Wada, Kosaku Takanashi, Tomonori Yamada, Takafumi Kanamori
2023	—	`conf`	Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis. ECML/PKDD (4) Hiroki Waida, Yuichiro Wada, Léo Andéol, Takumi Nakagawa, Yuhui Zhang, Takafumi Kanamori
2023	J	`jnl`	Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis. CoRR Hiroki Waida, Yuichiro Wada, Léo Andéol, Takumi Nakagawa, Yuhui Zhang, Takafumi Kanamori