Takanori Maehara

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Ken-ichi KawarabayashiNational Institute of InformaticsVerified email at nii.ac.jp
Hoang NTResearcher, The University of TokyoVerified email at gearons.org
Kazuo MurotaThe Institute of Statistical Mathematics / Tokyo Metropolitan UniversityVerified email at tmu.ac.jp
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 AlsuhaibaniAssistant Professor, Qassim UniversityVerified email at qu.edu.sa
Kohei HayashiResearcher, Preferred NetworksVerified email at preferred.jp
Taro TakaguchiSenior Data Scientist, LINE CorpVerified email at linecorp.com
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
Tatsunori TaniaiSenior Researcher, OMRON SINIC X CorporationVerified email at sinicx.com
Takuro FukunagaChuo UniversityVerified email at g.chuo-u.ac.jp
Takuya AkibaPreferred Networks, Inc.Verified email at preferred.jp
Elvin IsufiAssistant Professor, Multimedia Computing Group, Delft University of TechnologyVerified email at tudelft.nl
Masakazu IshihataNTT Communication Science LaboratoriesVerified email at hco.ntt.co.jp
Tsuyoshi MurataProfessor, Department of Computer Science, Tokyo Institute of TechnologyVerified email at c.titech.ac.jp
Masaaki ImaizumiThe University of TokyoVerified email at g.ecc.u-tokyo.ac.jp
Yoichi IwataNational Institute of InformaticsVerified email at nii.ac.jp
Yuichi YoshidaNational Institute of InformaticsVerified email at nii.ac.jp

Takanori Maehara

Meta, 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	276	2019
Scalable similarity search for SimRank M Kusumoto, T Maehara, K Kawarabayashi Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014	113	2014
Neural inverse rendering for general reflectance photometric stereo T Taniai, T Maehara International Conference on Machine Learning, 4857-4866, 2018	94	2018
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	77	2016
Unsupervised cross-domain word representation learning D Bollegala, T Maehara, K Kawarabayashi arXiv preprint arXiv:1505.07184, 2015	75	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	75	2014
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	67	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	59	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	57	2011
Efficient pagerank tracking in evolving networks N Ohsaka, T Maehara, K Kawarabayashi Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015	56	2015
Enumerate lasso solutions for feature selection S Hara, T Maehara Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	54	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	53	2010
Data cleansing for models trained with SGD S Hara, A Nitanda, T Maehara Advances in Neural Information Processing Systems 32, 2019	47	2019
Expected tensor decomposition with stochastic gradient descent T Maehara, K Hayashi, K Kawarabayashi Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	47	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	35	2017
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	33	2018
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	32	2017
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	32	2015
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	28	2020
Revisiting graph neural networks: All we have is low-pass filters T Maehara arXiv preprint arXiv:1905.09550, 2019	28	2019

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