知能創発環境研究グループ
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  • Kazuo Aoyama, Hiroshi Sawada, "Acceleration method for learning fine-layered optical neural networks," Proceedings of the 40th IEEE/ACM International Conference on Computer Aided Design (ICCAD 2021), 2021.
  • Koh Takeuchi, Masaaki Imaizumi, Shunsuke Kanda, Keisuke Fujii, Masakazu Ishihata, Takuya Maekawa, Ken Yoda, Yasuo Tabei, "Frechet and Hausdorff Kernels for Trajectory Data Analysis," Proceedings of the 29th International Conference on Advances in Geographic Information Systems (SIGSPATIAL '21), pp. 221-224, 2021.
  • Kenta Niwa, Guoqiang Zhang, Bastiaan Kleijn, Noboru Harada, Hiroshi Sawada, Akinori Fujino, "Asynchronous Decentralized Optimization with Implicit Stochastic Variance Reduction," Proceedings of the 38th International Conference on Machine Learning (ICML 2021), pp. 8195-8204, 2021.
  • Jun Muramatsu, "Successive-cancellation decoding of binary polar codes based on symmetric parametrization," Proceedings of the 2021 IEEE International Symposium on Information Theory, pp. 2364-2368, 2021.
  • Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda, "CPI-model based analysis of sparse k-means clustering algorithms," International Journal of Data Science and Analytics, Springer, Vol.12, pp. 229-248, 2021.
  • Kyohei Atarashi, Masakazu Ishihata, "Vertical Federated Learning for Higher-order Factorization Machines," Proc. of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021), Part II, pp. 346-357, 2021.
  • Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima, "Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint," Proc. of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS-21), pp. 145-153, 2021.
  • 清水仁, 松林達史, 藤野昭典, 澤田宏, "アンケートに基づく遊園地シミュレーションによる来園者余剰の最大化," 電子情報通信学会論文誌D, Vol. J104-D, No. 3, Mar. 2021.