Makoto Yamada

Makoto Yamada

Kyoto University

H-index: 34

Asia-Japan

About Makoto Yamada

Makoto Yamada, With an exceptional h-index of 34 and a recent h-index of 27 (since 2020), a distinguished researcher at Kyoto University, specializes in the field of Machine Learning, Optimal transport, kernel methods.

His recent articles reflect a diverse array of research interests and contributions to the field:

Implicit neural representation for change detection

Beyond exponential graph: Communication-efficient topologies for decentralized learning via finite-time convergence

Data Poisoning for In-context Learning

Embarrassingly simple text watermarks

Fsnet: Feature selection network on high-dimensional biological data

A linear time approximation of Wasserstein distance with word embedding selection

Confidence-driven Sampling for Backdoor Attacks

Bilaterally normalized scale-consistent sinkhorn distance for few-shot image classification

Makoto Yamada Information

University

Position

/ RIKEN Center for Advanced Intelligence Project

Citations(all)

5072

Citations(since 2020)

3839

Cited By

2424

hIndex(all)

34

hIndex(since 2020)

27

i10Index(all)

72

i10Index(since 2020)

57

Email

University Profile Page

Kyoto University

Google Scholar

View Google Scholar Profile

Makoto Yamada Skills & Research Interests

Machine Learning

Optimal transport

kernel methods

Top articles of Makoto Yamada

Title

Journal

Author(s)

Publication Date

Implicit neural representation for change detection

Peter Naylor

Diego Di Carlo

Arianna Traviglia

Makoto Yamada

Marco Fiorucci

2024

Beyond exponential graph: Communication-efficient topologies for decentralized learning via finite-time convergence

NeurIPS 2023 - Advances in Neural Information Processing Systems

Yuki Takezawa

Ryoma Sato

Han Bao

Kenta Niwa

Makoto Yamada

2023/5/19

Data Poisoning for In-context Learning

arXiv preprint arXiv:2402.02160

Pengfei He

Han Xu

Yue Xing

Hui Liu

Makoto Yamada

...

2024/2/3

Embarrassingly simple text watermarks

arXiv preprint arXiv:2310.08920

Ryoma Sato

Yuki Takezawa

Han Bao

Kenta Niwa

Makoto Yamada

2023/10/13

Fsnet: Feature selection network on high-dimensional biological data

Dinesh Singh

Héctor Climente-González

Mathis Petrovich

Eiryo Kawakami

Makoto Yamada

2023/6/18

A linear time approximation of Wasserstein distance with word embedding selection

Sho Otao

Makoto Yamada

2023/12

Confidence-driven Sampling for Backdoor Attacks

arXiv preprint arXiv:2310.05263

Pengfei He

Han Xu

Yue Xing

Jie Ren

Yingqian Cui

...

2023/10/8

Bilaterally normalized scale-consistent sinkhorn distance for few-shot image classification

IEEE Transactions on Neural Networks and Learning Systems

Yanbin Liu

Linchao Zhu

Xiaohan Wang

Makoto Yamada

Yi Yang

2023/4/17

Necessary and sufficient watermark for large language models

arXiv preprint arXiv:2310.00833

Yuki Takezawa

Ryoma Sato

Han Bao

Kenta Niwa

Makoto Yamada

2023/10/2

Large-scale similarity search with Optimal Transport

Cléa Laouar

Yuki Takezawa

Makoto Yamada

2023/12

Nyström method for accurate and scalable implicit differentiation

Ryuichiro Hataya

Makoto Yamada

2023/4/11

An empirical study of simplicial representation learning with wasserstein distance

arXiv preprint arXiv:2310.10143

Makoto Yamada

Yuki Takezawa

Guillaume Houry

Kira Michaela Dusterwald

Deborah Sulem

...

2023/10/16

Inflating 2D convolution weights for efficient generation of 3D medical images

Computer Methods and Programs in Biomedicine

Yanbin Liu

Girish Dwivedi

Farid Boussaid

Frank Sanfilippo

Makoto Yamada

...

2023/10/1

Communication compression for decentralized learning with operator splitting methods

IEEE Transactions on Signal and Information Processing over Networks

Yuki Takezawa

Kenta Niwa

Makoto Yamada

2023/8/25

Structural Fairness-aware Active Learning for Graph Neural Networks

Haoyu Han

Xiaorui Liu

Li Ma

MohamadAli Torkamani

Hui Liu

...

2023/10/13

Poincare: Recommending publication venues via treatment effect estimation

Journal of Informetrics

Ryoma Sato

Makoto Yamada

Hisashi Kashima

2022/5/1

Feature-robust optimal transport for high-dimensional data

Mathis Petrovich

Chao Liang

Ryoma Sato

Yanbin Liu

Yao-Hung Hubert Tsai

...

2022/9/19

Constant time graph neural networks

ACM Transactions on Knowledge Discovery from Data (TKDD)

Ryoma Sato

Makoto Yamada

Hisashi Kashima

2022/3/10

Graphlime: Local interpretable model explanations for graph neural networks

IEEE Transactions on Knowledge and Data Engineering

Qiang Huang

Makoto Yamada

Yuan Tian

Dinesh Singh

Yi Chang

2022/6/30

Nys-Newton: Nystroem-Approximated Curvature for Convex Optimization

電子情報通信学会技術研究報告 (Web)

Hardik TANKARIA

Dinesh SINGH

Makoto YAMADA

2022

See List of Professors in Makoto Yamada University(Kyoto University)

Co-Authors

H-index: 121
Yi Yang

Yi Yang

University of Technology Sydney

H-index: 115
Ruslan Salakhutdinov

Ruslan Salakhutdinov

Carnegie Mellon University

H-index: 47
Hisashi Kashima

Hisashi Kashima

Kyoto University

academic-engine