Information Extraction by XLM. - Masashi Okada; Naohiro Ishii; Nariaki Kato (KES (2), 2007)

Information Extraction Using XPath. - Masashi Okada; Naohiro Ishii; Ippei Torii (KES (3), 2010)

3D Sound Rendering for Multiple Sound Sources Based on Fuzzy Clustering. - Masashi Okada; Nobuyuki Iwanaga; Tomoya Matsumura; Takao Onoye; Wataru Kobayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010)

Owens Luis - A context-aware multi-modal smart office chair in an ambient environment. - Kiyoshi Kiyokawa; Masahide Hatanaka; Kazufumi Hosoda; Masashi Okada; Hironori Shigeta; Yasunori Ishihara; Fukuhito Ooshita; Hirotsugu Kakugawa; Satoshi Kurihara; Koichi Moriyama (VR, 2012)

Implementation of a smart office system in an ambient environment. - Hironori Shigeta; Junya Nakase; Yuta Tsunematsu; Kiyoshi Kiyokawa; Masahide Hatanaka; Kazufumi Hosoda; Masashi Okada; Yasunori Ishihara; Fukuhito Ooshita; Hirotsugu Kakugawa; Satoshi Kurihara; Koichi Moriyama (VR, 2012)

A Ray Tracing Simulation of Sound Diffraction Based on the Analytic Secondary Source Model. - Masashi Okada; Takao Onoye; Wataru Kobayashi (IEEE Trans. Speech Audio Process., 2012)

Realization of Secure Ambient Wireless Network System Based on Spatially Distributed Ciphering Function. - Masashi Okada; Masahide Hatanaka; Keiichiro Kagawa; Shinichi Miyamoto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

Varying applicability of four different satellite-derived soil moisture products to global gridded crop model evaluation. - Toru Sakai; Toshichika Iizumi; Masashi Okada; Motoki Nishimori; Thomas Grünwald; John H. Prueger; Alessandro Cescatti; Wolfgang Korres; Marius Schmidt; Arnaud Carrara; Benjamin Loubet; Eric Ceschia (Int. J. Appl. Earth Obs. Geoinformation, 2016)

Path Integral Networks: End-to-End Differentiable Optimal Control. - Masashi Okada; Luca Rigazio; Takenobu Aoshima (CoRR, 2017)

Acceleration of Gradient-Based Path Integral Method for Efficient Optimal and Inverse Optimal Control. - Masashi Okada; Tadahiro Taniguchi (ICRA, 2018)

CRPClustering: An R Package for Bayesian Nonparametric Chinese Restaurant Process Clustering with Entropy. - Masashi Okada (PeerJ Prepr., 2018)

Variational Inference MPC for Bayesian Model-based Reinforcement Learning. - Masashi Okada; Tadahiro Taniguchi (CoRL, 2019)

CycleGAN using Semi-Supervised Learning. - Masashi Okada; Hidehiro Nakano; Arata Miyauchi (Aust. J. Intell. Inf. Process. Syst., 2019)

Multi-person Pose Tracking using Sequential Monte Carlo with Probabilistic Neural Pose Predictor. - Masashi Okada; Shinji Takenaka; Tadahiro Taniguchi (ICRA, 2020)

PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference. - Masashi Okada; Norio Kosaka; Tadahiro Taniguchi (IROS, 2020)

Domain-Adversarial and -Conditional State Space Model for Imitation Learning. - Ryo Okumura; Masashi Okada; Tadahiro Taniguchi (IROS, 2020)

Visual Exploration System for Analyzing Trends in Annual Recruitment Using Time-varying Graphs. - Toshiyuki T. Yokoyama; Masashi Okada; Tadahiro Taniguchi (CoRR, 2020)

Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction. - Masashi Okada; Tadahiro Taniguchi (ICRA, 2021)

DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction. - Masashi Okada; Tadahiro Taniguchi (IROS, 2022)

Self-Supervised Representation Learning as Multimodal Variational Inference. - Hiroki Nakamura; Masashi Okada; Tadahiro Taniguchi (CoRR, 2022)

Online Re-Planning and Adaptive Parameter Update for Multi-Agent Path Finding with Stochastic Travel Times. - Atsuyoshi Kita; Nobuhiro Suenari; Masashi Okada; Tadahiro Taniguchi (AAMAS, 2023)

Representation Uncertainty in Self-Supervised Learning as Variational Inference. - Hiroki Nakamura; Masashi Okada; Tadahiro Taniguchi (ICCV, 2023)

Learning Compliant Stiffness by Impedance Control-Aware Task Segmentation and Multi-Objective Bayesian Optimization with Priors. - Masashi Okada; Mayumi Komatsu; Ryo Okumura; Tadahiro Taniguchi (IROS, 2023)

Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning. - Hiroki Nakamura; Masashi Okada; Tadahiro Taniguchi (CoRR, 2023)

Multi-view dreaming: multi-view world model with contrastive learning. - Akira Kinose; Ryo Okumura; Masashi Okada; Tadahiro Taniguchi (Adv. Robotics, 2023)

A Contact Model based on Denoising Diffusion to Learn Variable Impedance Control for Contact-rich Manipulation. - Masashi Okada; Mayumi Komatsu; Tadahiro Taniguchi (IROS, 2024)