I’m Yuki Takezawa (竹澤祐貴), a 3rd year Ph.D. student at Kashima Laboratory, Kyoto University. I’m also working as a visiting research student at Yamada Unit, Okinawa Institute of Science and Technology.

Research interests: Machine Learning, Optimization, Optimal Transport.

contact: yuki-takezawa at ml.ist.i.kyoto-u.ac.jp

dblp / google scholar / semantic scholar / CV

Publications

Conference Papers

1. Yuki Takezawa, Sebastian Stich
   “Scalable Decentralized Learning with Teleportation”
   International Conference on Learning Representations (ICLR) 2025
   [slides][poster]

2. Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa
   “PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis”
   International Conference on Learning Representations (ICLR) 2025

3. Yuki Takezawa, Han Bao, Ryoma Sato, Kenta Niwa, Makoto Yamada
   “Parameter-free Clipped Gradient Descent Meets Polyak”
   Neural Information Processing Systems (NeurIPS) 2024
   [poster]

4. Cléa Laouar, Yuki Takezawa, Makoto Yamada
   “Large-scale Similarity Search with Optimal Transport”
   Empirical Methods in Natural Language Processing (EMNLP) 2023

5. Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
   “Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence”
   Neural Information Processing Systems (NeurIPS) 2023
   [slides][poster][code]

6. Kazutoshi Shinoda, Yuki Takezawa, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
   “Improving the Robustness to Variations of Objects and Instructions with A Neuro-Symbolic Approach for Interactive Instruction Following”
   International Conference on Multimedia Modeling 2023
   [poster]

7. Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada
   “Fixed Support Tree-Sliced Wasserstein Barycenter”
   International Conference on Artificial Intelligence and Statistics (AISTATS) 2022
   [poster][code]

8. Yuki Takezawa, Ryoma Sato, Makoto Yamada
   “Supervised Tree-Wasserstein Distance”
   International Conference on Machine Learning (ICML) 2021
   [poster][code]

Journal Papers

1. Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
   “Necessary and Sufficient Watermark for Large Language Models”,
   Transactions on Machine Learning Research 2025
   [code]

2. Makoto Yamada, Yuki Takezawa, Guillaume Houry, Kira Michaela Dusterwald, Deborah Sulem, Han Zhao, Yao-Hung Hubert Tsai
   “An Empirical Study of Simplicial Representation Learning with Wasserstein Distance”
   Entropy 2024

3. Iifan Tyou, Tomoya Murata, Takumi Fukami, Yuki Takezawa, Kenta Niwa
   “A Localized Primal-Dual Method for Centralized/Decentralized Federated Learning Robust to Data Heterogeneity”
   IEEE Transactions on Signal and Information Processing over Networks 2023

4. Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada
   “Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data”
   Transactions on Machine Learning Research 2023

5. Yuki Takezawa, Kenta Niwa, Makoto Yamada
   “Communication Compression for Decentralized Learning with Operator Splitting Methods”
   IEEE Transactions on Signal and Information Processing over Networks 2023

6. Makoto Yamada, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi
   “Approximating 1-Wasserstein Distance with Trees”
   Transactions on Machine Learning Research 2022

Preprints

1. Han Bao, Shinsaku Sakaue, Yuki Takezawa
   “Any-stepsize Gradient Descent for Separable Data under Fenchel–Young Losses”, arXiv 2025

2. Ryoma Sato, Yuki Takezawa, Han Bao, Kenta Niwa, Makoto Yamada
   “Embarrassingly Simple Text Watermarks”, arXiv 2023
   [demo]

3. Yuki Takezawa, Kenta Niwa, Makoto Yamada
   “Theoretical Analysis of Primal-Dual Algorithm for Non-Convex Stochastic Decentralized Optimization”, arXiv 2022

Research Experiences

• Research Internship, CISPA Helmholtz Center for Information Security, Nov./2024-Feb./2025
• Research Internship, CISPA Helmholtz Center for Information Security, Apr./2024-Jul./2024
• Visiting Research Student, Okinawa Institute of Science and Technology, Apr./2022-Present
• Research Assistant, Kyoto University, Apr./2021-Mar./2023
• Research Assistant, RIKEN AIP, Apr./2021-Mar./2023
• Research Internship, NTT Comunication Science Laboratories, Aug./2021-Sep./2021
• Research Internship, The University of Tokyo, Matsuo Laboratory, 2020

Honor & Funding

• JSPS Doctoral Course Research Fellowships (DC1), 2023-Present
• IEICE TC-IBISML Research Award, 2023
• The Japanese Society for Artificial Intelligence (JSAI) Incentive Award, 2021
• Kyoto University President’s Award, 2019

Education

• Kyoto University (Ph.D. course), Graduate School of Informatics, Apr./2023-Present
• Kyoto University (Master course), Graduate School of Informatics, Apr./2021-Mar./2023
• Kyoto University (Bachelor course), Undergraduate School of Informatics and Mathematical Science, Apr./2017-Mar./2021

Activity

• ABU Robocon 2019, best 8
• NHK Robocon 2019, gold
• Chopin International Piano Competition in Asia 2016, bronze

Upcoming Trip

• Apr./24-Apr./28, ICLR 2025 (Singapore)

---

Yuki Takezawa (c) 2021