Takanori Maehara

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Citations	2449	1711
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Ken-ichi KawarabayashiNational Institute of Informatics, The University of TokyoVerified email at nii.ac.jp
Hoang NTUniversity of TokyoVerified email at mail.u-tokyo.ac.jp
Danushka BollegalaProfessor, The University of Liverpool, DMML, Amazon.comVerified email at amazon.com
Kazuo MurotaThe Institute of Statistical Mathematics / Tokyo Metropolitan UniversityVerified email at tmu.ac.jp
Satoshi HaraProfessor, The University of Electro-CommunicationVerified email at uec.ac.jp
Masashi ToyodaInstitute of Industrial Science, The University of TokyoVerified email at acm.org
Mohammed AlsuhaibaniAssociate Professor, Qassim UniversityVerified email at qu.edu.sa
Taro TakaguchiMerpay, Inc.Verified email at mercari.com
Kohei HayashiResearcher, Preferred NetworksVerified email at preferred.jp
Geert LeusFull Professor at Delft University of Technology (TU Delft)Verified email at tudelft.nl
Mario CoutiñoResearch Scientist at TNOVerified email at tno.nl
Tsuyoshi MurataProfessor, Department of Computer Science, Tokyo Institute of TechnologyVerified email at c.titech.ac.jp
Tatsunori TaniaiSenior Researcher, OMRON SINIC X CorporationVerified email at sinicx.com
Elvin IsufiDelft University of TechnologyVerified email at tudelft.nl
Takuya AkibaSakana AIVerified email at sakana.ai
Takuro FukunagaChuo UniversityVerified email at g.chuo-u.ac.jp
Masakazu IshihataNTT Communication Science LaboratoriesVerified email at ntt.com
Masaaki ImaizumiThe University of Tokyo / RIKEN AIPVerified email at g.ecc.u-tokyo.ac.jp
Yoichi IwataNational Institute of InformaticsVerified email at nii.ac.jp
Atsushi NitandaA*STAR Centre for Frontier AI Research (CFAR)Verified email at cfar.a-star.edu.sg

Takanori Maehara

Roku, inc.

Verified email at acm.org - Homepage

Algorithms Discrete Optimization Machine Learning


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Revisiting graph neural networks: All we have is low-pass filters H Nt, T Maehara arXiv preprint arXiv:1905.09550, 2019	509	2019
Scalable similarity search for SimRank M Kusumoto, T Maehara, K Kawarabayashi Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014	119	2014
Neural inverse rendering for general reflectance photometric stereo T Taniai, T Maehara International Conference on Machine Learning, 4857-4866, 2018	114	2018
Computing personalized pagerank quickly by exploiting graph structures T Maehara, T Akiba, Y Iwata, K Kawarabayashi Proceedings of the VLDB Endowment 7 (12), 1023-1034, 2014	94	2014
Data cleansing for models trained with SGD S Hara, A Nitanda, T Maehara Advances in Neural Information Processing Systems 32, 2019	93	2019
Joint word representation learning using a corpus and a semantic lexicon D Bollegala, M Alsuhaibani, T Maehara, K Kawarabayashi Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	81	2016
Unsupervised cross-domain word representation learning D Bollegala, T Maehara, K Kawarabayashi arXiv preprint arXiv:1505.07184, 2015	81	2015
Efficient pagerank tracking in evolving networks N Ohsaka, T Maehara, K Kawarabayashi Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015	75	2015
Ellipsoidal model of the rise of a Taylor bubble in a round tube T Funada, DD Joseph, T Maehara, S Yamashita International journal of multiphase flow 31 (4), 473-491, 2005	75	2005
Reply trees in twitter: data analysis and branching process models R Nishi, T Takaguchi, K Oka, T Maehara, M Toyoda, K Kawarabayashi, ... Social network analysis and mining 6, 1-13, 2016	73	2016
Algorithm for error-controlled simultaneous block-diagonalization of matrices T Maehara, K Murota SIAM Journal on Matrix Analysis and Applications 32 (2), 605-620, 2011	68	2011
Enumerate lasso solutions for feature selection S Hara, T Maehara Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	67	2017
A numerical algorithm for block-diagonal decomposition of matrix*-algebras with general irreducible components T Maehara, K Murota Japan journal of industrial and applied mathematics 27, 263-293, 2010	59	2010
Expected tensor decomposition with stochastic gradient descent T Maehara, K Hayashi, K Kawarabayashi Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	55	2016
State-space network topology identification from partial observations M Coutino, E Isufi, T Maehara, G Leus IEEE Transactions on Signal and Information Processing over Networks 6, 211-225, 2020	44	2020
Jointly learning word embeddings using a corpus and a knowledge base M Alsuhaibani, D Bollegala, T Maehara, K Kawarabayashi PloS one 13 (3), e0193094, 2018	44	2018
Graph homomorphism convolution H Nguyen, T Maehara International Conference on Machine Learning, 7306-7316, 2020	42	2020
On tensor train rank minimization: Statistical efficiency and scalable algorithm M Imaizumi, T Maehara, K Hayashi advances in neural information processing systems 30, 2017	42	2017
Exact computation of influence spread by binary decision diagrams T Maehara, H Suzuki, M Ishihata Proceedings of the 26th International Conference on World Wide Web, 947-956, 2017	41	2017
Revisiting graph neural networks: Graph filtering perspective NT Hoang, T Maehara, T Murata 2020 25th International Conference on Pattern Recognition (ICPR), 8376-8383, 2021	38	2021

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