Takanori Maehara

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Ken-ichi KawarabayashiVerified email at nii.ac.jp
Hoang NTVerified email at gearons.org
Danushka BollegalaProfessor, The University of Liverpool, DMML, Amazon.comVerified email at amazon.com
Satoshi HaraAssistant Professor, Osaka UniversityVerified email at ar.sanken.osaka-u.ac.jp
Masashi ToyodaInstitute of Industrial Science, The University of TokyoVerified email at acm.org
Mohammed AlsuhaibaniUniversity of LiverpoolVerified email at liverpool.ac.uk
Kohei HayashiResearcher, Preferred NetworksVerified email at preferred.jp
Taro TakaguchiSenior Data Scientist, LINE CorpVerified email at linecorp.com
Takuya AkibaPreferred Networks, Inc.Verified email at preferred.jp
Tatsunori TaniaiSenior Researcher, OMRON SINIC X CorporationVerified email at sinicx.com
Takuro FukunagaChuo UniversityVerified email at g.chuo-u.ac.jp
Masakazu IshihataNTT Communication Science LaboratoriesVerified email at hco.ntt.co.jp
Geert LeusFull Professor at Delft University of Technology (TU Delft)Verified email at tudelft.nl
Mario CoutiñoResearch Scientist Radar Technologies at TNOVerified email at tno.nl
Masaaki ImaizumiThe University of TokyoVerified email at g.ecc.u-tokyo.ac.jp
Yoichi IwataNational Institute of InformaticsVerified email at nii.ac.jp
Elvin IsufiAssistant Professor, Multimedia Computing Group, Delft University of TechnologyVerified email at tudelft.nl
Yuichi YoshidaNational Institute of InformaticsVerified email at nii.ac.jp
Tsuyoshi MurataAssociate Professor of Computer Science, Tokyo Institute of TechnologyVerified email at cs.titech.ac.jp
Naoki MasudaDepartment of Mathematics, State University of New York at BuffaloVerified email at buffalo.edu

Takanori Maehara

Meta, inc.

Verified email at acm.org - Homepage

Algorithms Discrete Optimization Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Revisiting graph neural networks: All we have is low-pass filters NT Hoang, T Maehara arXiv preprint arXiv:1905.09550 2, 2019	146	2019
Scalable similarity search for SimRank M Kusumoto, T Maehara, K Kawarabayashi Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014	105	2014
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	71	2016
Unsupervised cross-domain word representation learning D Bollegala, T Maehara, K Kawarabayashi arXiv preprint arXiv:1505.07184, 2015	70	2015
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	70	2014
Neural inverse rendering for general reflectance photometric stereo T Taniai, T Maehara International Conference on Machine Learning, 4857-4866, 2018	64	2018
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	62	2005
Efficient pagerank tracking in evolving networks N Ohsaka, T Maehara, K Kawarabayashi Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	51	2015
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	50	2011
Enumerate lasso solutions for feature selection S Hara, T Maehara Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	48	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 (2), 263-293, 2010	46	2010
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), 1-13, 2016	44	2016
Expected tensor decomposition with stochastic gradient descent T Maehara, K Hayashi, K Kawarabayashi Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	35	2016
On tensor train rank minimization: Statistical efficiency and scalable algorithm M Imaizumi, T Maehara, K Hayashi Advances in Neural Information Processing Systems 30, 2017	31	2017
Data cleansing for models trained with SGD S Hara, A Nitanda, T Maehara Advances in Neural Information Processing Systems 32, 2019	30	2019
Real-time top-R topic detection on twitter with topic hijack filtering K Hayashi, T Maehara, M Toyoda, K Kawarabayashi Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	29	2015
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	28	2017
Embedding semantic relations into word representations D Bollegala, T Maehara, K Kawarabayashi Twenty-fourth international joint conference on artificial intelligence, 2015	27	2015
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	26	2018
Efficient simrank computation via linearization T Maehara, M Kusumoto, K Kawarabayashi arXiv preprint arXiv:1411.7228, 2014	25	2014

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