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2020 – today
- 2024
[j5]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: 226-241 (2024)- [c7]Ziyad Oulhaj, Yoshiyuki Ishii, Kento Ohga, Kimihiro Yamazaki, Mutsuyo Wada, Yuhei Umeda, Takashi Katoh, Yuichiro Wada, Hiroaki Kurihara:
Deep Mapper: Efficient Visualization of Plausible Conformational Pathways. ECAI 2024: 2701-2708 - [c6]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. ISIT 2024: 587-592 - [i9]Hiroki Waida, Kimihiro Yamazaki, Atsushi Tokuhisa, Mutsuyo Wada, Yuichiro Wada:
Investigating Self-Supervised Image Denoising with Denaturation. CoRR abs/2405.01124 (2024) - [i8]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 abs/2407.18632 (2024) - 2023
- [j4]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): 1288-1339 (2023) - [j3]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: 233-243 (2023) - [c5]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: 394-404 - [c4]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: 709-727 - [c3]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: 1638-1649 - [i7]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 abs/2303.03036 (2023) - [i6]Kota Nakamura, Yasuko Matsubara, Koki Kawabata, Yuhei Umeda, Yuichiro Wada, Yasushi Sakurai:
Fast and Multi-aspect Mining of Complex Time-stamped Event Streams. CoRR abs/2303.03789 (2023) - [i5]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 abs/2304.00395 (2023) - [i4]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 abs/2304.09552 (2023) - 2022
- [c2]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: 1178-1182 - [c1]Yifan Xu, Kiichi Tokuyama, Yuichiro Wada:
Handover Skipping Analysis in Dense Cellular Network Using Poisson Cluster Process. VTC Spring 2022: 1-6 - 2021
- [i3]Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon:
Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization. CoRR abs/2106.04923 (2021) - 2020
- [i2]Yukang Jiang, Kiichi Tokuyama, Yuichiro Wada, Moeko Yajima:
Correlation Coefficient Analysis of the Age of Information in Multi-Source Systems. CoRR abs/2009.11067 (2020)
2010 – 2019
- 2019
- [j2]Yuichiro Wada, Shugo Miyamoto, Takumi Nakagama, Léo Andéol, Wataru Kumagai, Takafumi Kanamori:
Spectral Embedded Deep Clustering. Entropy 21(8): 795 (2019) - [j1]Yuichiro Wada, Siqiang Su, Wataru Kumagai, Takafumi Kanamori:
Robust Label Prediction via Label Propagation and Geodesic k-Nearest Neighbor in Online Semi-Supervised Learning. IEICE Trans. Inf. Syst. 102-D(8): 1537-1545 (2019)
2000 – 2009
- 2009
- [i1]Yuji Kamite, Yuichiro Wada, Yetik Serbest, Thomas Morin, Luyuan Fang:
Requirements for Multicast Support in Virtual Private LAN Services. RFC 5501: 1-31 (2009)
Coauthor Index
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