Consultative-sales support of fashion garments by scenario creation. - Shingo Murata (SMC, 2006)

Learning to reproduce fluctuating behavioral sequences using a dynamic neural network model with time-varying variance estimation mechanism. - Shingo Murata; Jun Namikawa; Hiroaki Arie; Jun Tani; Shigeki Sugano (ICDL-EPIROB, 2013)

Development of Proactive and Reactive Behavior via Meta-learning of Prediction Error Variance. - Shingo Murata; Jun Namikawa; Hiroaki Arie; Jun Tani; Shigeki Sugano (ICONIP (1), 2013)

Learning to Reproduce Fluctuating Time Series by Inferring Their Time-Dependent Stochastic Properties: Application in Robot Learning Via Tutoring. - Shingo Murata; Jun Namikawa; Hiroaki Arie; Shigeki Sugano; Jun Tani (IEEE Trans. Auton. Ment. Dev., 2013)

Learning and Recognition of Multiple Fluctuating Temporal Patterns Using S-CTRNN. - Shingo Murata; Hiroaki Arie; Tetsuya Ogata; Jun Tani; Shigeki Sugano (ICANN, 2014)

Tool-Body Assimilation Model Based on Body Babbling and a Neuro-Dynamical System for Motion Generation. - Kuniyuki Takahashi; Tetsuya Ogata; Hadi Tjandra; Shingo Murata; Hiroaki Arie; Shigeki Sugano (ICANN, 2014)

Generation of sensory reflex behavior versus intentional proactive behavior in robot learning of cooperative interactions with others. - Shingo Murata; Yuichi Yamashita; Hiroaki Arie; Tetsuya Ogata; Jun Tani; Shigeki Sugano (ICDL-EPIROB, 2014)

Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism. - Shingo Murata; Hiroaki Arie; Tetsuya Ogata; Shigeki Sugano; Jun Tani (Adv. Robotics, 2014)

Predictive learning with uncertainty estimation for modeling infants' cognitive development with caregivers: A neurorobotics experiment. - Shingo Murata; Saki Tomioka; Ryoichi Nakajo; Tatsuro Yamada; Hiroaki Arie; Tetsuya Ogata; Shigeki Sugano (ICDL-EPIROB, 2015)

Acquisition of viewpoint representation in imitative learning from own sensory-motor experiences. - Ryoichi Nakajo; Shingo Murata; Hiroaki Arie; Tetsuya Ogata (ICDL-EPIROB, 2015)

Attractor representations of language-behavior structure in a recurrent neural network for human-robot interaction. - Tatsuro Yamada; Shingo Murata; Hiroaki Arie; Tetsuya Ogata (IROS, 2015)

Dynamical Linking of Positive and Negative Sentences to Goal-Oriented Robot Behavior by Hierarchical RNN. - Tatsuro Yamada; Shingo Murata; Hiroaki Arie; Tetsuya Ogata (ICANN (1), 2016)

Emergence of interactive behaviors between two robots by prediction error minimization mechanism. - Yiwen Chen; Shingo Murata; Hiroaki Arie; Tetsuya Ogata; Jun Tani; Shigeki Sugano (ICDL-EPIROB, 2016)

Self and Non-self Discrimination Mechanism Based on Predictive Learning with Estimation of Uncertainty. - Ryoichi Nakajo; Maasa Takahashi; Shingo Murata; Hiroaki Arie; Tetsuya Ogata (ICONIP (4), 2016)

Analysis of imitative interactions between humans and a robot with a neuro-dynamical system. - Shingo Murata; Kai Hirano; Hiroaki Arie; Shigeki Sugano; Tetsuya Ogata (SII, 2016)

Dynamical Integration of Language and Behavior in a Recurrent Neural Network for Human-Robot Interaction. - Tatsuro Yamada; Shingo Murata; Hiroaki Arie; Tetsuya Ogata (Frontiers Neurorobotics, 2016)

Mixing Actual and Predicted Sensory States Based on Uncertainty Estimation for Flexible and Robust Robot Behavior. - Shingo Murata; Wataru Masuda; Saki Tomioka; Tetsuya Ogata; Shigeki Sugano (ICANN (1), 2017)

Reduced behavioral flexibility by aberrant sensory precision in autism spectrum disorder: A neurorobotics experiment. - Hayato Idei; Shingo Murata; Yiwen Chen; Yuichi Yamashita; Jun Tani; Tetsuya Ogata (ICDL-EPIROB, 2017)

Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions. - Tatsuro Yamada; Shingo Murata; Hiroaki Arie; Tetsuya Ogata (Frontiers Neurorobotics, 2017)

Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment. - Shingo Murata; Yuichi Yamashita; Hiroaki Arie; Tetsuya Ogata; Shigeki Sugano; Jun Tani (IEEE Trans. Neural Networks Learn. Syst., 2017)

Tool-Use Model Considering Tool Selection by a Robot Using Deep Learning. - Namiko Saito; Kitae Kim; Shingo Murata; Tetsuya Ogata; Shigeki Sugano (Humanoids, 2018)

Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning. - Namiko Saito; Kitae Kim; Shingo Murata; Tetsuya Ogata; Shigeki Sugano (ICDL-EPIROB, 2018)

Dynamic Motion Generation by Flexible-Joint Robot based on Deep Learning using Images. - Yuheng Wu; Kuniyuki Takahashi; Hiroki Yamada; Kitae Kim; Shingo Murata; Shigeki Sugano; Tetsuya Ogata (ICDL-EPIROB, 2018)

Estimating Driver Workload with Systematically Varying Traffic Complexity Using Machine Learning: Experimental Design. - Udara E. Manawadu; Takahiro Kawano; Shingo Murata; Mitsuhiro Kamezaki; Shigeki Sugano (IHSI, 2018)

Multiclass Classification of Driver Perceived Workload Using Long Short-Term Memory based Recurrent Neural Network. - Udara E. Manawadu; Takahiro Kawano; Shingo Murata; Mitsuhiro Kamezaki; Junya Muramatsu; Shigeki Sugano (Intelligent Vehicles Symposium, 2018)

Acquisition of Viewpoint Transformation and Action Mappings via Sequence to Sequence Imitative Learning by Deep Neural Networks. - Ryoichi Nakajo; Shingo Murata; Hiroaki Arie; Tetsuya Ogata (Frontiers Neurorobotics, 2018)

Learning to Achieve Different Levels of Adaptability for Human-Robot Collaboration Utilizing a Neuro-Dynamical System. - Shingo Murata; Yuxi Li; Hiroaki Arie; Tetsuya Ogata; Shigeki Sugano (IEEE Trans. Cogn. Dev. Syst., 2018)

Looking Back and Ahead: Adaptation and Planning by Gradient Descent. - Shingo Murata; Hiroki Sawa; Shigeki Sugano; Tetsuya Ogata (ICDL-EPIROB, 2019)

Achieving Human-Robot Collaboration with Dynamic Goal Inference by Gradient Descent. - Shingo Murata; Wataru Masuda; Jiayi Chen; Hiroaki Arie; Tetsuya Ogata; Shigeki Sugano (ICONIP (2), 2019)

Large-scale Data Collection for Goal-directed Drawing Task with Self-report Psychiatric Symptom Questionnaires via Crowdsourcing. - Shingo Murata; Hikaru Yanagida; Kentaro Katahira; Shinsuke Suzuki; Tetsuya Ogata; Yuichi Yamashita (SMC, 2019)

Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation. - Kai-Hung Chang; Chin-Yi Cheng; Jieliang Luo; Shingo Murata; Mehdi Nourbakhsh; Yoshito Tsuji (ICCV, 2021)

Tool-Use Model to Reproduce the Goal Situations Considering Relationship Among Tools, Objects, Actions and Effects Using Multimodal Deep Neural Networks. - Namiko Saito; Tetsuya Ogata; Hiroki Mori; Shingo Murata; Shigeki Sugano (Frontiers Robotics AI, 2021)

Paradoxical sensory reactivity induced by functional disconnection in a robot model of neurodevelopmental disorder. - Hayato Idei; Shingo Murata; Yuichi Yamashita; Tetsuya Ogata (Neural Networks, 2021)

Latent Representation in Human-Robot Interaction With Explicit Consideration of Periodic Dynamics. - Taisuke Kobayashi; Shingo Murata; Tetsunari Inamura (IEEE Trans. Hum. Mach. Syst., 2022)

Hierarchical Latent Dynamics Model with Multiple Timescales for Learning Long-Horizon Tasks. - Kentaro Fujii; Shingo Murata (ICDL, 2023)

Goal-Conditioned Flexible Object Manipulation by Self-Supervised Learning from Play. - Keigo Ishii; Shun Hiramatsu; Yuta Nomura; Shingo Murata (ICDL, 2023)

Toward Understanding Psychiatric and Cognitive Characteristics: A Deep Generative Model for Extracting Shared and Private Representations and Its Evaluation with Synthetic Multimodal Data. - Kaito Kusumoto; Shingo Murata (ICDL, 2023)

Real-World Robot Control and Data Augmentation by World-Model Learning from Play. - Yuta Nomura; Shingo Murata (ICDL, 2023)

Structured Motion Generation with Predictive Learning: Proposing Subgoal for Long-Horizon Manipulation. - Namiko Saito; João Moura 003; Tetsuya Ogata; Marina Y. Aoyama; Shingo Murata; Shigeki Sugano; Sethu Vijayakumar (ICRA, 2023)

Deep Predictive Network for Inference and Dynamic Optimization of Task Goals during Human-Robot Collaboration. - Shun Hiramatsu; Shingo Murata (IJCNN, 2023)

World models and predictive coding for cognitive and developmental robotics: frontiers and challenges. - Tadahiro Taniguchi; Shingo Murata; Masahiro Suzuki; Dimitri Ognibene; Pablo Lanillos; Emre Ugur; Lorenzo Jamone; Tomoaki Nakamura; Alejandra Ciria; Bruno Lara 001; Giovanni Pezzulo (Adv. Robotics, 2023)

Special issue on world models and predictive coding in robotics (Part I). - Tadahiro Taniguchi; Dimitri Ognibene; Lorenzo Jamone; Emre Ugur; Pablo Lanillos; Alejandra Ciria; Masahiro Suzuki; Shingo Murata; Yoshihiro Nakata; Tomoaki Nakamura (Adv. Robotics, 2023)

Special issue on world models and predictive coding in robotics (part II). - Tadahiro Taniguchi; Dimitri Ognibene; Lorenzo Jamone; Emre Ugur; Pablo Lanillos; Alejandra Ciria; Masahiro Suzuki; Shingo Murata; Yoshihiro Nakata; Tomoaki Nakamura (Adv. Robotics, 2023)

Active Vision for Physical Robots Using the Free Energy Principle. - Gabriel W. Haddon-Hill; Shingo Murata (ICANN (10), 2024)

Selection of Exploratory or Goal-Directed Behavior by a Physical Robot Implementing Deep Active Inference. - Ko Igari; Kentaro Fujii; Gabriel W. Haddon-Hill; Shingo Murata (IWAI, 2024)

Real-World Robot Control Based on Contrastive Deep Active Inference With Demonstrations. - Kentaro Fujii; Takuya Isomura; Shingo Murata (IEEE Access, 2024)

System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems. - Tadahiro Taniguchi; Yasushi Hirai; Masahiro Suzuki; Shingo Murata; Takato Horii; Kazutoshi Tanaka (CoRR, 2025)

Variational Adaptive Noise and Dropout towards Stable Recurrent Neural Networks. - Taisuke Kobayashi; Shingo Murata (CoRR, 2025)