Topic Model for User Reviews with Adaptive Windows. - Takuya Konishi; Fuminori Kimura; Akira Maeda (ECIR, 2013)

Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data. - Takuya Konishi; Takatomi Kubo; Kazuho Watanabe; Kazushi Ikeda (IEEE Trans. Neural Networks Learn. Syst., 2015)

Identifying Key Observers to Find Popular Information in Advance. - Takuya Konishi; Tomoharu Iwata; Kohei Hayashi; Ken-ichi Kawarabayashi (IJCAI, 2016)

Extracting Search Query Patterns via the Pairwise Coupled Topic Model. - Takuya Konishi; Takuya Ohwa; Sumio Fujita; Kazushi Ikeda; Kohei Hayashi (WSDM, 2016)

A Tractable Fully Bayesian Method for the Stochastic Block Model. - Kohei Hayashi; Takuya Konishi; Tatsuro Kawamoto (CoRR, 2016)

Stochastic Submodular Maximization with Performance-Dependent Item Costs. - Takuro Fukunaga; Takuya Konishi; Sumio Fujita; Ken-ichi Kawarabayashi (AAAI, 2019)

End-to-End Learning for Prediction and Optimization with Gradient Boosting. - Takuya Konishi; Takuro Fukunaga (ECML/PKDD (3), 2020)

Stable invariant models via Koopman spectra. - Takuya Konishi; Yoshinobu Kawahara (Neural Networks, 2023)

Explorative Curriculum Learning for Strongly Correlated Electron Systems. - Kimihiro Yamazaki; Takuya Konishi; Yoshinobu Kawahara (CoRR, 2025)