Takuya Konishi

12 papers A* 2A 2Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Physics-inspired transformer quantum states via latent imaginary-time evolution.
CoRR
Kimihiro Yamazaki, Itsushi Sakata, Takuya Konishi, Yoshinobu Kawahara
2026 J jnl
Predictive Fair Representation Learning with Variational Autoencoders.
New Gener. Comput.
Tatsuya Yamada, Takuya Konishi, Yoshinobu Kawahara
2025 J jnl
Explorative Curriculum Learning for Strongly Correlated Electron Systems.
CoRR
Kimihiro Yamazaki, Takuya Konishi, Yoshinobu Kawahara
2023 J jnl
Stable invariant models via Koopman spectra.
Neural Networks
Takuya Konishi, Yoshinobu Kawahara
2022 J jnl
Stable Invariant Models via Koopman Spectra.
CoRR
Takuya Konishi, Yoshinobu Kawahara
2020 — conf
End-to-End Learning for Prediction and Optimization with Gradient Boosting.
ECML/PKDD (3)
Takuya Konishi, Takuro Fukunaga
2019 A* conf
Stochastic Submodular Maximization with Performance-Dependent Item Costs.
AAAI
Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi Kawarabayashi
2016 J jnl
A Tractable Fully Bayesian Method for the Stochastic Block Model.
CoRR
Kohei Hayashi, Takuya Konishi, Tatsuro Kawamoto
2016 A conf
Extracting Search Query Patterns via the Pairwise Coupled Topic Model.
WSDM
Takuya Konishi, Takuya Ohwa, Sumio Fujita, Kazushi Ikeda, Kohei Hayashi
2016 A* conf
Identifying Key Observers to Find Popular Information in Advance.
IJCAI
Takuya Konishi, Tomoharu Iwata, Kohei Hayashi, Ken-ichi Kawarabayashi
2015 J jnl
Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data.
IEEE Trans. Neural Networks Learn. Syst.
Takuya Konishi, Takatomi Kubo, Kazuho Watanabe, Kazushi Ikeda
2013 A conf
Topic Model for User Reviews with Adaptive Windows.
ECIR
Takuya Konishi, Fuminori Kimura, Akira Maeda