Takumi Nakagawa

PhD student, Tokyo Institute of Technology

Joined

May 2022

Names

Takumi Nakagawa (Preferred)

Emails

****@m.titech.ac.jp (Confirmed)

****@riken.jp (Confirmed)

****@fujitsu.com (Confirmed)

Personal Links

DBLP

ORCID

Career & Education History

PhD student

Tokyo Institute of Technology (titech.ac.jp)

2021 – Present

Researcher

RIKEN (riken.jp)

2021 – 2024

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

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
- CoRR 2024
- Readers: Everyone
Scaling-based Data Augmentation for Generative Models and its Theoretical Extension
Yoshitaka Koike, Takumi Nakagawa, Hiroki Waida, Takafumi Kanamori
- CoRR 2024
- Readers: Everyone
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 2024
- Readers: Everyone
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
- ECML/PKDD (4) 2023
- Readers: Everyone
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
- CoRR 2023
- Readers: Everyone
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
- Published: 01 Jan 2023, Last Modified: 28 Apr 2023
- CoRR 2023
- Readers: Everyone
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
- INTERSPEECH 2022
- Readers: Everyone

Takumi Nakagawa

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Robust VAEs via Generating Process of Noise Augmented Data

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

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

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

Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning

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

Deep Self-Supervised Learning of Speech Denoising from Noisy Speeches

Co-Authors