Rchr
J-GLOBAL ID:201901017605851610   Update date: Nov. 27, 2019

Issei Sato

Issei Sato
Affiliation and department:
Research field  (1): Intelligent informatics
Research keywords  (1): Machine learning
Papers (57):
  • Futoshi Futami, Zhenghang Cui, Issei Sato, Masashi Sugiyama. Bayesian posterior approximation via greedy particle optimization. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI2019). 2019. 3606-3613
  • Takeshi Teshima, Miao Xu, Issei Sato, Masashi Sugiyama. Clipped matrix completion: A remedy for ceiling effects. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI2019). 2019. 5151-5158
  • Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama. Unsupervised domain adaptation based on source-guided discrepancy. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI2019). 2019. 4122-4129
  • Yusuke Tsuzuku, Issei Sato. On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2019. 51-60
  • Zhenghang Cui, Issei Sato, Masashi Sugiyama. Stochastic divergence minimization for biterm topic models. IEICE Transactions on Information and Systems. 2018. Vol.E101-D. no.3. 668-677
more...
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