Takumi Nakagawa

According to our database, Takumi Nakagawa authored at least 3 papers between 2022 and 2024.

Collaborative distances:

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

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

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

2022

Deep Self-Supervised Learning of Speech Denoising from Noisy Speeches.

Yutaro Sanada, Takumi Nakagawa, Yuichiro Wada, Kosaku Takanashi, Yuhui Zhang, Kiichi Tokuyama, Takafumi Kanamori, Tomonori Yamada

Proceedings of the Interspeech 2022, 2022