Makoto Yamada

Cited by

	All	Since 2018
Citations	4904	3953
h-index	33	28
i10-index	71	56

1000

500

250

750

2010201120122013201420152016201720182019202020212022202325 28 83 124 125 180 152 186 281 423 549 747 933 984

Public access

View all

19 articles

1 article

available

not available

Based on funding mandates

Co-authors

Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Yi ChangJilin UniversityVerified email at acm.org
Ryoma SatoKyoto UniversityVerified email at ml.ist.i.kyoto-u.ac.jp
Hisashi KashimaProfessor, Kyoto UniversityVerified email at i.kyoto-u.ac.jp
Tam LeAssistant Professor, The Institute of Statistical MathematicsVerified email at ism.ac.jp
Yao-Hung Hubert TsaiCarnegie Mellon University PhD StudentVerified email at andrew.cmu.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Song LiuSenior Lecturer in Statistical Science, University of Bristol, UKVerified email at bristol.ac.uk
Leonid SigalProfessor, University of British ColumbiaVerified email at cs.ubc.ca
Takafumi KanamoriTokyo Institute of TechnologyVerified email at c.titech.ac.jp
Dawei YinSenior Director of Search Science at Baidu, Inc.Verified email at baidu.com
Samuel KaskiProfessor, Aalto University and University of ManchesterVerified email at aalto.fi
Taiji SuzukiThe University of TokyoVerified email at mist.i.u-tokyo.ac.jp
Akisato KimuraNTT Communication Science LaboratoriesVerified email at ieee.org
Gang NiuRIKEN Center for Advanced Intelligence ProjectVerified email at riken.jp
Yanbin LiuAustralian National UniversityVerified email at anu.edu.au
Wittawat JitkrittumGoogle ResearchVerified email at google.com
Denny WuNew York UniversityVerified email at nyu.edu
Yuki TakezawaKyoto University / OISTVerified email at ml.ist.i.kyoto-u.ac.jp
Yi YangZhejiang UniversityVerified email at zju.edu.cn

Makoto Yamada

Okinawa Institute of Science and Technology

Verified email at oist.jp - Homepage

Machine Learning Optimal transport kernel methods


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Change-point detection in time-series data by relative density-ratio estimation S Liu, M Yamada, N Collier, M Sugiyama Neural Networks 43, 72-83, 2013	566	2013
Intelligent image-activated cell sorting N Nitta, T Sugimura, A Isozaki, H Mikami, K Hiraki, S Sakuma, T Iino, ... Cell 175 (1), 266-276. e13, 2018	447	2018
High-dimensional feature selection by feature-wise kernelized lasso M Yamada, W Jitkrittum, L Sigal, EP Xing, M Sugiyama Neural computation 26 (1), 185-207, 2014	335	2014
Graphlime: Local interpretable model explanations for graph neural networks Q Huang, M Yamada, Y Tian, D Singh, Y Chang IEEE Transactions on Knowledge and Data Engineering, 2022	278	2022
Relative density-ratio estimation for robust distribution comparison M Yamada, T Suzuki, T Kanamori, H Hachiya, M Sugiyama Neural computation 25 (5), 1324-1370, 2013	226	2013
Transformer dissection: a unified understanding of transformer's attention via the lens of kernel YHH Tsai, S Bai, M Yamada, LP Morency, R Salakhutdinov arXiv preprint arXiv:1908.11775, 2019	177	2019
Random features strengthen graph neural networks R Sato, M Yamada, H Kashima Proceedings of the 2021 SIAM international conference on data mining (SDM …, 2021	169	2021
High-throughput imaging flow cytometry by optofluidic time-stretch microscopy C Lei, H Kobayashi, Y Wu, M Li, A Isozaki, A Yasumoto, H Mikami, T Ito, ... Nature protocols 13 (7), 1603-1631, 2018	124	2018
Semantic correspondence as an optimal transport problem Y Liu, L Zhu, M Yamada, Y Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	111	2020
Approximation ratios of graph neural networks for combinatorial problems R Sato, M Yamada, H Kashima Advances in Neural Information Processing Systems 32, 2019	109	2019
Information-theoretic Semi-supervised Metric Learning via Entropy Regularization G Niu, B Dai, M Yamada, M Sugiyama Arxiv preprint arXiv:1206.4614, 2012	104	2012
Noise suppressing device M Yamada, K Kondo US Patent App. 13/005,138, 2011	86	2011
Change-point detection with feature selection in high-dimensional time-series data M Yamada, A Kimura, F Naya, H Sawada Twenty-Third International Joint Conference on Artificial Intelligence, 2013	85	2013
Beyond ranking: Optimizing whole-page presentation Y Wang, D Yin, L Jie, P Wang, M Yamada, Y Chang, Q Mei Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016	80	2016
A practical guide to intelligent image-activated cell sorting A Isozaki, H Mikami, K Hiramatsu, S Sakuma, Y Kasai, T Iino, T Yamano, ... Nature protocols 14 (8), 2370-2415, 2019	78	2019
Persistence fisher kernel: A riemannian manifold kernel for persistence diagrams T Le, M Yamada Advances in Neural Information Processing Systems 31, 2018	78	2018
Ultra high-dimensional nonlinear feature selection for big biological data M Yamada, J Tang, J Lugo-Martinez, E Hodzic, R Shrestha, A Saha, ... IEEE Transactions on Knowledge and Data Engineering 30 (7), 1352-1365, 2018	76	2018
Clustering-based anomaly detection in multi-view data A Marcos Alvarez, M Yamada, A Kimura, T Iwata Proceedings of the 22nd ACM international conference on Information …, 2013	76	2013
Tree-sliced variants of Wasserstein distances T Le, M Yamada, K Fukumizu, M Cuturi Advances in neural information processing systems 32, 2019	74	2019
Semi-supervised speaker identification under covariate shift M Yamada, M Sugiyama, T Matsui Signal Processing 90 (8), 2353-2361, 2010	73	2010

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors