Towards Generation of Visual Attention Map for Source Code. - Takeshi D. Itoh; Takatomi Kubo; Kiyoka Ikeda; Yuki Maruno; Yoshiharu Ikutani; Hideaki Hata; Kenichi Matsumoto; Kazushi Ikeda (APSIPA, 2019)

Full-Body Optimal Control Toward Versatile and Agile Behaviors in a Humanoid Robot. - Koji Ishihara; Takeshi D. Itoh; Jun Morimoto (IEEE Robotics Autom. Lett., 2020)

Compositionality-Aware Graph2Seq Learning. - Takeshi D. Itoh; Takatomi Kubo; Kazushi Ikeda (CoRR, 2022)

Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical Environment. - Takeshi D. Itoh; Koji Ishihara; Jun Morimoto (Neural Comput., 2022)

Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities. - Takeshi D. Itoh; Takatomi Kubo; Kazushi Ikeda (Neural Networks, 2022)

Learning to mimic programmers gaze behavior for program comprehension improvement. - Jeanne Barthélemy; Takatomi Kubo; Takeshi D. Itoh; Kiyoka Ikeda; Kazushi Ikeda (Artif. Life Robotics, 2023)