Yuichiro Wada

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 18

Top Topics

Nearest Neighbor

Invariant Representations

Top Venues

Neural Networks

IEICE Trans. Inf. Syst.

Publications

Hiroo Irobe, Wataru Aoki, Kimihiro Yamazaki, Yuhui Zhang, Takumi Nakagawa, Hiroki Waida, Yuichiro Wada, Takafumi Kanamori
Robust VAEs via Generating Process of Noise Augmented Data. CoRR (2024)
Hiroki Waida, Kimihiro Yamazaki, Atsushi Tokuhisa, Mutsuyo Wada, Yuichiro Wada
Investigating Self-Supervised Image Denoising with Denaturation. CoRR (2024)
Takumi Nakagawa, Yutaro Sanada, Hiroki Waida, Yuhui Zhang, Yuichiro Wada, Kosaku Takanashi, Tomonori Yamada, Takafumi Kanamori
Denoising cosine similarity: A theory-driven approach for efficient representation learning. Neural Networks 169 (2024)
Yuhui Zhang, Yuichiro Wada, Hiroki Waida, Kaito Goto, Yusaku Hino, Takafumi Kanamori
Deep Clustering with a Constraint for Topological Invariance based on Symmetric InfoNCE. CoRR (2023)
Kota Nakamura, Yasuko Matsubara, Koki Kawabata, Yuhei Umeda, Yuichiro Wada, Yasushi Sakurai
Fast and Multi-aspect Mining of Complex Time-stamped Event Streams. CoRR (2023)
Takumi Nakagawa, Yutaro Sanada, Hiroki Waida, Yuhui Zhang, Yuichiro Wada, Kosaku Takanashi, Tomonori Yamada, Takafumi Kanamori
Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning. CoRR (2023)
Kota Nakamura, Yasuko Matsubara, Koki Kawabata, Yuhei Umeda, Yuichiro Wada, Yasushi Sakurai
Fast and Multi-aspect Mining of Complex Time-stamped Event Streams. WWW (2023)
Hiroki Waida, Yuichiro Wada, Léo Andéol, Takumi Nakagawa, Yuhui Zhang, Takafumi Kanamori
Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis. CoRR (2023)
Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon
Learning domain invariant representations by joint Wasserstein distance minimization. Neural Networks 167 (2023)
Kimihiro Yamazaki, Yuichiro Wada, Atsushi Tokuhisa, Mutsuyo Wada, Takashi Katoh, Yuhei Umeda, Yasushi Okuno, Akira Nakagawa
An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and Its Application for Automatically Computing the Conformational Pathway. MICCAI (1) (2023)
Yuhui Zhang, Yuichiro Wada, Hiroki Waida, Kaito Goto, Yusaku Hino, Takafumi Kanamori
Deep Clustering With a Constraint for Topological Invariance Based on Symmetric InfoNCE. Neural Comput. 35 (7) (2023)
Hiroki Waida, Yuichiro Wada, Léo Andéol, Takumi Nakagawa, Yuhui Zhang, Takafumi Kanamori
Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis. ECML/PKDD (4) (2023)
Yutaro Sanada, Takumi Nakagawa, Yuichiro Wada, Kosaku Takanashi, Yuhui Zhang, Kiichi Tokuyama, Takafumi Kanamori, Tomonori Yamada
Deep Self-Supervised Learning of Speech Denoising from Noisy Speeches. INTERSPEECH (2022)
Yifan Xu, Kiichi Tokuyama, Yuichiro Wada
Handover Skipping Analysis in Dense Cellular Network Using Poisson Cluster Process. VTC Spring (2022)
Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon
Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization. CoRR (2021)
Yukang Jiang, Kiichi Tokuyama, Yuichiro Wada, Moeko Yajima
Correlation Coefficient Analysis of the Age of Information in Multi-Source Systems. CoRR (2020)
Yuichiro Wada, Shugo Miyamoto, Takumi Nakagama, Léo Andéol, Wataru Kumagai, Takafumi Kanamori
Spectral Embedded Deep Clustering. Entropy 21 (8) (2019)
Yuichiro Wada, Siqiang Su, Wataru Kumagai, Takafumi Kanamori
-Nearest Neighbor in Online Semi-Supervised Learning. IEICE Trans. Inf. Syst. (8) (2019)
Yuji Kamite, Yuichiro Wada, Yetik Serbest, Thomas Morin, Luyuan Fang
Requirements for Multicast Support in Virtual Private LAN Services. RFC 5501 (2009)