351 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Kyoto UniversityJP94 papers
- Tokyo Institute of TechnologyJP7 papers
- The University of OsakaJP6 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Hokkaido UniversityJP4 papers
- Kyushu UniversityJP3 papers
- NTT (Japan)JP3 papers
- RIKEN Center for Advanced Intelligence ProjectJP3 papers
- Ritsumeikan UniversityJP3 papers
- University of OuluFI3 papers
- Advanced Telecommunications Research Institute InternationalJP2 papers
- Aoyama Gakuin UniversityJP2 papers
102 papers
Memory-Driven Self-Disclosure and Relational Turning Points: A Longitudinal Multimodal Study of Human-AI Interaction
Ryuichi Sumida, Mao Saeki, Masaki Eguchi +4
As conversational AI systems are designed for repeated use, a central question is how a series of interactions becomes a relationship. We present a longitudinal multimodal study of…
Penny: Transition Network Analysis of Learner-Chatbot Interactions in Scaffolded EFL Writing
Steve Woollaston, Brendan Flanagan, Yuko Toyokawa +1
Generative AI chatbots promise to transform English as a Foreign Language (EFL) writing by providing immediate, personalised feedback. However, their pedagogical value depends on h…
Cyclic Adaptive Private Synthesis for Sharing Real-World Data in Education
Hibiki Ito, Chia-Yu Hsu, Hiroaki Ogata
The rapid adoption of digital technologies has greatly increased the volume of real-world data (RWD) in education. While these data offer significant opportunities for advancing le…
ChatLearn: Leveraging AI to Transform Non-Native Speaker Communication Challenges as Language Learning Opportunities
Peinuan Qin, Yugin Tan, Jingzhu Chen +4
Non-native speakers (NNSs) face significant language barriers in multilingual communication with native speakers (NSs). While AI-mediated communication (AIMC) tools offer efficient…
Random knotting in very long off-lattice self-avoiding polygons
Jason Cantarella, Tetsuo Deguchi, Henrik Schumacher +2
We present experimental results on knotting in off-lattice self-avoiding polygons in the bead-chain model. Using Clisby's tree data structure and the scale-free pivot algorithm, fo…
Mutual Information Optimal Control of Discrete-Time Linear Systems
Shoju Enami, Kenji Kashima
In this paper, we formulate a mutual information optimal control problem (MIOCP) for discrete-time linear systems. This problem can be regarded as an extension of a maximum entropy…
A Robot-Assisted Approach to Small Talk Training for Adults with ASD
Rebecca Ramnauth, Dražen Brščić, Brian Scassellati
From dating to job interviews, making new friends or simply chatting with the cashier at checkout, engaging in small talk is a vital, everyday social skill. For adults with Autism…
Homological Invariants of Higher-Order Equational Theories
Mirai Ikebuchi
Many first-order equational theories, such as the theory of groups or boolean algebras, can be presented by a smaller set of axioms than the original one. Recent studies showed tha…
Fast Parameter Optimization of Delayed Feedback Reservoir with Backpropagation and Gradient Descent
Sosei Ikeda, Hiromitsu Awano, Takashi Sato
A delayed feedback reservoir (DFR) is a reservoir computing system well-suited for hardware implementations. However, achieving high accuracy in DFRs depends heavily on selecting a…
Hardware-Friendly Delayed-Feedback Reservoir for Multivariate Time-Series Classification
Sosei Ikeda, Hiromitsu Awano, Takashi Sato
Reservoir computing (RC) is attracting attention as a machine-learning technique for edge computing. In time-series classification tasks, the number of features obtained using a re…
Online Training and Inference System on Edge FPGA Using Delayed Feedback Reservoir
Sosei Ikeda, Hiromitsu Awano, Takashi Sato
A delayed feedback reservoir (DFR) is a hardwarefriendly reservoir computing system. Implementing DFRs in embedded hardware requires efficient online training. However, two main ch…
Decentralized Collective World Model for Emergent Communication and Coordination
Kentaro Nomura, Tatsuya Aoki, Tadahiro Taniguchi +1
We propose a fully decentralized multi-agent world model that enables both symbol emergence for communication and coordinated behavior through temporal extension of collective pred…
Incorporating Coupling Knowledge into Echo State Networks for Learning Spatiotemporally Chaotic Dynamics
Kuei-Jan Chu, Nozomi Akashi, Akihiro Yamamoto
Machine learning methods have shown promise in learning chaotic dynamical systems, enabling model-free short-term prediction and attractor reconstruction. However, when applied to…
Brunovsky Riccati Recursion for Linear Model Predictive Control
Shaohui Yang, Toshiyuki Ohtsuka, Colin N. Jones
In almost all algorithms for Model Predictive Control (MPC), the most time-consuming step is to solve some form of Linear Quadratic (LQ) Optimal Control Problem (OCP) repeatedly. T…
Certifying Lyapunov Stability of Black-Box Nonlinear Systems via Counterexample Guided Synthesis (Extended Version)
Chiao Hsieh, Masaki Waga, Kohei Suenaga
Finding Lyapunov functions to certify the stability of control systems has been an important topic for verifying safety-critical systems. Most existing methods on finding Lyapunov…
Nonlinear receding-horizon differential game for drone racing along a three-dimensional path
Kijin Sung, Kenta Hoshino, Akihiko Honda +2
Drone racing requires high-speed navigation through three-dimensional paths, posing significant challenges in control engineering. Existing control methods lack a feedback control…
Enhanced Sampled-Data Model Predictive Control via Nonlinear Lifting
Nuthasith Gerdpratoom, Fumiya Matsuzaki, Yutaka Yamamoto +1
This paper introduces a novel nonlinear model predictive control (NMPC) framework that incorporates a lifting technique to enhance control performance for nonlinear systems. While…
Cross-lingual Embedding Clustering for Hierarchical Softmax in Low-Resource Multilingual Speech Recognition
Zhengdong Yang, Qianying Liu, Sheng Li +2
We present a novel approach centered on the decoding stage of Automatic Speech Recognition (ASR) that enhances multilingual performance, especially for low-resource languages. It u…
Data clustering: a fundamental method in data science and management
Tai Dinh, Wong Hauchi, Daniil Lisik +4
This paper explores the critical role of data clustering in data science, emphasizing its methodologies, tools, and diverse applications. Traditional techniques, such as partitiona…
A Fully Local Last-Generated Rule in a Blockchain
Akira Sakurai, Kazuyuki Shudo
An effective method for suppressing intentional forks in a blockchain is the last-generated rule, which selects the most recent chain as the main chain in the event of a chain tie.…
Clustering Coefficient Reflecting Pairwise Relationships within Hyperedges
Rikuya Miyashita, Shiori Hironaka, Kazuyuki Shudo
Hypergraphs are generalizations of simple graphs that allow for the representation of complex group interactions beyond pairwise relationships. Clustering coefficients quantify loc…
HTML-LSTM: Information Extraction from HTML Tables in Web Pages using Tree-Structured LSTM
Kazuki Kawamura, Akihiro Yamamoto
In this paper, we propose a novel method for extracting information from HTML tables with similar contents but with a different structure. We aim to integrate multiple HTML tables…
Type-Based Verification of Connectivity Constraints in Lattice Surgery
Ryo Wakizaka, Yasunari Suzuki, Atsushi Igarashi
Fault-tolerant quantum computation using lattice surgery can be abstracted as operations on graphs, wherein each logical qubit corresponds to a vertex of the graph, and multi-qubit…
Explosive neural networks via higher-order interactions in curved statistical manifolds
Miguel Aguilera, Pablo A. Morales, Fernando E. Rosas +1
Higher-order interactions underlie complex phenomena in systems such as biological and artificial neural networks, but their study is challenging due to the scarcity of tractable m…