Shotaro Miwa

According to our database, Shotaro Miwa authored at least 16 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

WINFlowNets: Warm-up Integrated Networks Training of Generative Flow Networks for Robotics and Machine Fault Adaptation.

Zahin Sufiyan, Shadan Golestan, Yoshihiro Mitsuka, Shotaro Miwa, Osmar R. Zaïane

CoRR, March, 2026

ViSA: Visited-State Augmentation for Generalized Goal-Space Contrastive Reinforcement Learning.

Issa Nakamura, Tomoya Yamanokuchi, Yuki Kadokawa, Jia Qu, Shun Otsubo, Ken Miyamoto, Shotaro Miwa, Takamitsu Matsubara

CoRR, March, 2026

2025

TLXML: Task-Level Explanation of Meta-Learning via Influence Functions.

Yoshihiro Mitsuka, Shadan Golestan, Zahin Sufiyan, Sheila Schoepp, Shotaro Miwa, Osmar R. Zaïane

CoRR, January, 2025

A study of the efficacy of generative flow networks for robotics and machine fault-adaptation.

Zahin Sufiyan, Shadan Golestan, Shotaro Miwa, Yoshihiro Mitsuka, Osmar Zaïane

Eng. Appl. Artif. Intell., 2025

Enhancing Robot Perception using Vision-Aware Cognition Model.

Jia Qu, Ryo Hanai, Ixchel Georgina Ramirez-Alpizar, Yukiyasu Domae, Shotaro Miwa

Proceedings of the IEEE/SICE International Symposium on System Integration, 2025

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown.

Bowen Wang, Zhouqiang Jiang, Yasuaki Susumu, Shotaro Miwa, Tianwei Chen, Yuta Nakashima

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Explainability of deep reinforcement learning algorithms in robotic domains by using Layer-wise Relevance Propagation.

Mehran Taghian, Shotaro Miwa, Yoshihiro Mitsuka, Johannes Günther, Shadan Golestan, Osmar R. Zaïane

Eng. Appl. Artif. Intell., 2024

Enhancing Hardware Fault Tolerance in Machines with Reinforcement Learning Policy Gradient Algorithms.

Sheila Schoepp, Mehran Taghian, Shotaro Miwa, Yoshihiro Mitsuka, Shadan Golestan, Osmar Zaïane

CoRR, 2024

Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model.

Issei Saito, Tomoaki Nakamura, Toshiyuki Hatta, Wataru Fujita, Shintaro Watanabe, Shotaro Miwa

CoRR, 2024

Domain Randomization-free Sim-to-Real : An Attention-Augmented Memory Approach for Robotic Tasks.

Jia Qu, Shun Otsubo, Tomoya Yamanokuchi, Takamitsu Matsubara, Shotaro Miwa

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Unsupervised Work Behavior Analysis Using Hierarchical Probabilistic Segmentation.

Issei Saito, Tomoaki Nakamura, Toshiyuki Hatta, Wataru Fujita, Shintaro Watanabe, Shotaro Miwa

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022

Learning Landmark-Oriented Subgoals for Visual Navigation Using Trajectory Memory.

Jia Qu, Shotaro Miwa, Yukiyasu Domae

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Interpretable Navigation Agents Using Attention-Augmented Memory.

Jia Qu, Shotaro Miwa, Yukiyasu Domae

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2017

Distributed Multi-task Learning for Sensor Network.

Jiyi Li, Tomohiro Arai, Yukino Baba, Hisashi Kashima, Shotaro Miwa

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016

Investigating recognition accuracy improvement by adding user's acceleration data to location and power consumption-based in-home activity recognition system.

Eri Nakagawa, Kazuki Moriya, Hirohiko Suwa, Manato Fujimoto, Yutaka Arakawa, Toshiyuki Hatta, Shotaro Miwa, Keiichi Yasumoto

Proceedings of the Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services, 2016

2013

Robust Face Recognition System Using a Reliability Feedback.

Shotaro Miwa, Shintaro Watanabe, Makito Seki

Proceedings of the Human-Computer Interaction. Towards Intelligent and Implicit Interaction, 2013