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Takanori Maehara
Takanori Maehara
Roku, inc.
Zweryfikowany adres z acm.org - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Revisiting graph neural networks: All we have is low-pass filters
H Nt, T Maehara
arXiv preprint arXiv:1905.09550, 2019
5182019
Scalable similarity search for SimRank
M Kusumoto, T Maehara, K Kawarabayashi
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
1202014
Neural inverse rendering for general reflectance photometric stereo
T Taniai, T Maehara
International Conference on Machine Learning, 4857-4866, 2018
1162018
Data cleansing for models trained with SGD
S Hara, A Nitanda, T Maehara
Advances in Neural Information Processing Systems 32, 2019
972019
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
952014
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
822016
Efficient pagerank tracking in evolving networks
N Ohsaka, T Maehara, K Kawarabayashi
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
762015
Unsupervised cross-domain word representation learning
D Bollegala, T Maehara, K Kawarabayashi
arXiv preprint arXiv:1505.07184, 2015
762015
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
732005
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
712011
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
702016
Enumerate lasso solutions for feature selection
S Hara, T Maehara
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
662017
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
572010
Expected tensor decomposition with stochastic gradient descent
T Maehara, K Hayashi, K Kawarabayashi
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
552016
Graph homomorphism convolution
H Nguyen, T Maehara
International Conference on Machine Learning, 7306-7316, 2020
452020
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
442020
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
432018
On tensor train rank minimization: Statistical efficiency and scalable algorithm
M Imaizumi, T Maehara, K Hayashi
advances in neural information processing systems 30, 2017
422017
Revisiting graph neural networks: Graph filtering perspective
NT Hoang, T Maehara, T Murata
2020 25th International Conference on Pattern Recognition (ICPR), 8376-8383, 2021
392021
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
392017
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