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Learning with Almost Invariant Sets in Neural Oscillatory ODEs
Yuto Inui, Takuya Konishi, Yoshinobu Kawahara
Proceedings of the 31st International Conference on Neural Information Processing (ICONIP) p. 347-361 2025/06/26 Research paper (international conference proceedings)
Publisher: Springer Nature Singapore
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Stable invariant models via Koopman spectra.
Takuya Konishi, Yoshinobu Kawahara
Neural Networks Vol. 165 p. 393-405 2023/08 Research paper (scientific journal)
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End-to-End Learning for Prediction and Optimization with Gradient Boosting.
Takuya Konishi, Takuro Fukunaga
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 (ECML-PKDD) p. 191-207 2020 Research paper (international conference proceedings)
Publisher: Springer
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Stochastic Submodular Maximization with Performance-Dependent Item Costs.
Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi Kawarabayashi
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI) p. 1485-1494 2019 Research paper (international conference proceedings)
Publisher: AAAI Press
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Extracting Search Query Patterns via the Pairwise Coupled Topic Model.
Takuya Konishi, Takuya Ohwa, Sumio Fujita, Kazushi Ikeda, Kohei Hayashi
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining (WSDM) p. 655-664 2016 Research paper (international conference proceedings)
Publisher: ACM
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Identifying Key Observers to Find Popular Information in Advance.
Takuya Konishi, Tomoharu Iwata, Kohei Hayashi, Ken-ichi Kawarabayashi
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI) p. 3761-3767 2016 Research paper (international conference proceedings)
Publisher: IJCAI/AAAI Press
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Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data.
Takuya Konishi, Takatomi Kubo, Kazuho Watanabe, Kazushi Ikeda
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) Vol. 26 No. 9 p. 2176-2181 2015 Research paper (scientific journal)
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Topic Model for User Reviews with Adaptive Windows.
Takuya Konishi, Fuminori Kimura, Akira Maeda
Advances in Information Retrieval - 35th European Conference on IR Research (ECIR) p. 730-733 2013 Research paper (international conference proceedings)
Publisher: Springer
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Estimating Aspects in Online Reviews Using Topic Model with 2-Level Learning
Takuya Konishi, Taro Tezuka, Fuminori Kimura, Akira Maeda
Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS) Vol. I p. 528-533 2012 Research paper (international conference proceedings)
