Sequence Pattern Extraction by Segmenting Time Series Data Using GP-HSMM with Hierarchical Dirichlet Process. - Masatoshi Nagano; Tomoaki Nakamura; Takayuki Nagai; Daichi Mochihashi; Ichiro Kobayashi; Masahide Kaneko (IROS, 2018)

High-dimensional Motion Segmentation by Variational Autoencoder and Gaussian Processes. - Masatoshi Nagano; Tomoaki Nakamura; Takayuki Nagai; Daichi Mochihashi; Ichiro Kobayashi; Wataru Takano (IROS, 2019)

HVGH: Unsupervised Segmentation for High-Dimensional Time Series Using Deep Neural Compression and Statistical Generative Model. - Masatoshi Nagano; Tomoaki Nakamura; Takayuki Nagai; Daichi Mochihashi; Ichiro Kobayashi; Wataru Takano (Frontiers Robotics AI, 2019)

Spatio-temporal categorization for first-person-view videos using a convolutional variational autoencoder and Gaussian processes. - Masatoshi Nagano; Tomoaki Nakamura; Takayuki Nagai; Daichi Mochihashi; Ichiro Kobayashi (Frontiers Robotics AI, 2022)

Unsupervised phoneme and word acquisition from continuous speech based on a hierarchical probabilistic generative model. - Masatoshi Nagano; Tomoaki Nakamura (Adv. Robotics, 2023)

Robot Motion Learning via Visual Imitation and Language-Conditioned Reward. - Masaya Nakano; Masatoshi Nagano; Tomoaki Nakamura (ICDL, 2024)

Unsupervised Acquisition of Phonemes, Words, and Grammar from Continuous Speech Signals. - Shoma Ochiai; Masatoshi Nagano; Tomoaki Nakamura (ICDL, 2024)

Scalable Unsupervised Segmentation via Random Fourier Feature-based Gaussian Process. - Issei Saito; Masatoshi Nagano; Tomoaki Nakamura; Daichi Mochihashi; Koki Mimura (CoRR, 2025)

CoCre-Sam (Kokkuri-san): Modeling Ouija Board as Collective Langevin Dynamics Sampling from Fused Language Models. - Tadahiro Taniguchi; Masatoshi Nagano; Haruumi Omoto; Yoshiki Hayashi (CoRR, 2025)