Do multi-touch screens help visually impaired people to recognize graphics. - Ikuko Eguchi Yairi; Kumi Naoe; Yusuke Iwasawa; Yusuke Fukushima (ASSETS, 2011)

Life-Logging of Wheelchair Driving on Web Maps for Visualizing Potential Accidents and Incidents. - Yusuke Iwasawa; Ikuko Eguchi Yairi (PRICAI, 2012)

Detecting Exceptional Actions Using Wearable Sensors' Data for Developing Life-Log Database of Visually Impaired People. - Yusuke Iwasawa; Hidetaka Suzuki; Ikuko Eguchi Yairi (AAAI Spring Symposium: Data Driven Wellness, 2013)

Spatiotemporal Life-Log Mining of Wheelchair Users' Driving for Visualizing Accessibility of Roads. - Yusuke Iwasawa; Ikuko Eguchi Yairi (ICDM Workshops, 2013)

Road Sensing: Personal Sensing and Machine Learning for Development of Large Scale Accessibility Map. - Yusuke Iwasawa; Koya Nagamine; Yutaka Matsuo; Ikuko Eguchi Yairi (ASSETS, 2015)

Toward an Automatic Road Accessibility Information Collecting and Sharing Based on Human Behavior Sensing Technologies of Wheelchair Users. - Yusuke Iwasawa; Kouya Nagamine; Ikuko Eguchi Yairi; Yutaka Matsuo (EUSPN/ICTH, 2015)

An estimation of wheelchair user's muscle fatigue by accelerometers on smart devices. - Koya Nagamine; Yusuke Iwasawa; Yutaka Matsuo; Ikuko Eguchi Yairi (UbiComp/ISWC Adjunct, 2015)

Combining Human Action Sensing of Wheelchair Users and Machine Learning for Autonomous Accessibility Data Collection. - Yusuke Iwasawa; Ikuko Eguchi Yairi; Yutaka Matsuo (IEICE Trans. Inf. Syst., 2016)

Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training. - Yusuke Iwasawa; Kotaro Nakayama; Ikuko Yairi; Yutaka Matsuo (IJCAI, 2017)

Virtual Reality as a User-friendly Interface for Learning from Demonstrations. - Nishanth Koganti; Abdul Rahman Abdul Ghani; Yusuke Iwasawa; Kotaro Nakayama; Yutaka Matsuo (CHI Extended Abstracts, 2018)

End-to-End Deep Knowledge Tracing by Learning Binary Question-Embedding. - Hiromi Nakagawa; Yusuke Iwasawa; Yutaka Matsuo (ICDM Workshops, 2018)

Designing Efficient Neural Attention Systems Towards Achieving Human-level Sharp Vision. - Abdul Rahman Abdul Ghani; Nishanth Koganti; Alfredo Solano; Yusuke Iwasawa; Kotaro Nakayama; Yutaka Matsuo (ICLR (Workshop), 2018)

Censoring Representations with Multiple-Adversaries over Random Subspaces. - Yusuke Iwasawa; Kotaro Nakayama; Yutaka Matsuo (ICLR (Workshop), 2018)

Neuron as an Agent. - Shohei Ohsawa; Kei Akuzawa; Tatsuya Matsushima; Gustavo Bezerra; Yusuke Iwasawa; Hiroshi Kajino; Seiya Takenaka; Yutaka Matsuo (ICLR (Workshop), 2018)

Extending Robust Adversarial Reinforcement Learning Considering Adaptation and Diversity. - Hiroaki Shioya; Yusuke Iwasawa; Yutaka Matsuo (ICLR (Workshop), 2018)

Expert-based reward function training: the novel method to train sequence generators. - Joji Toyama; Yusuke Iwasawa; Kotaro Nakayama; Yutaka Matsuo (ICLR (Workshop), 2018)

Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder. - Kei Akuzawa; Yusuke Iwasawa; Yutaka Matsuo (INTERSPEECH, 2018)

UVTON: UV Mapping to Consider the 3D Structure of a Human in Image-Based Virtual Try-On Network. - Shizuma Kubo; Yusuke Iwasawa; Masahiro Suzuki 001; Yutaka Matsuo (ICCV Workshops, 2019)

Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization. - Kei Akuzawa; Yusuke Iwasawa; Yutaka Matsuo (ECML/PKDD (2), 2019)

Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network. - Hiromi Nakagawa; Yusuke Iwasawa; Yutaka Matsuo (WI, 2019)

Estimating Spatiotemporal Information from Behavioral Sensing Data of Wheelchair Users by Machine Learning Technologies. - Ikuko Eguchi Yairi; Hiroki Takahashi; Takumi Watanabe; Kouya Nagamine; Yusuke Fukushima; Yutaka Matsuo; Yusuke Iwasawa (Inf., 2019)

Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective. - Yusuke Iwasawa; Kei Akuzawa; Yutaka Matsuo (IJCAI, 2020)

Visualizing Road Condition Information by Applying the AutoEncoder to Wheelchair Sensing Data for Road Barrier Assessment. - Goh Sato; Takumi Watanabe; Hiroki Takahashi; Yojiro Yano; Yusuke Iwasawa; Ikuko Eguchi Yairi (JSAI, 2020)

Character-level Japanese Text Generation with Attention Mechanism for Chest Radiography Diagnosis. - Kenya Sakka; Kotaro Nakayama; Nisei Kimura; Taiki Inoue; Yusuke Iwasawa; Ryohei Yamaguchi; Yoshimasa Kawazoe; Kazuhiko Ohe; Yutaka Matsuo (CoRR, 2020)

Modeling Task Uncertainty for Safe Meta-Imitation Learning. - Tatsuya Matsushima; Naruya Kondo; Yusuke Iwasawa; Kaoru Nasuno; Yutaka Matsuo (Frontiers Robotics AI, 2020)

Weakly Supervised Learning for Evaluating Road Surface Condition from Wheelchair Driving Data. - Takumi Watanabe; Hiroki Takahashi; Yusuke Iwasawa; Yutaka Matsuo; Ikuko Eguchi Yairi (Inf., 2020)

Making Use of Latent Space in Language GANs for Generating Diverse Text without Pre-training. - Takeshi Kojima; Yusuke Iwasawa; Yutaka Matsuo (EACL (Student Research Workshop), 2021)

Group Equivariant Conditional Neural Processes. - Makoto Kawano; Wataru Kumagai; Akiyoshi Sannai; Yusuke Iwasawa; Yutaka Matsuo (ICLR, 2021)

Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning. - Kei Akuzawa; Yusuke Iwasawa; Yutaka Matsuo (L4DC, 2021)

Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization. - Yusuke Iwasawa; Yutaka Matsuo (NeurIPS, 2021)

Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks. - Takumi Watanabe; Hiroki Takahashi; Goh Sato; Yusuke Iwasawa; Yutaka Matsuo; Ikuko Eguchi Yairi (CoRR, 2021)

Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL. - Kei Akuzawa; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2021)

Amortized Prompt: Lightweight Fine-Tuning for CLIP in Domain Generalization. - Xin Zhang; Yusuke Iwasawa; Yutaka Matsuo; Shixiang Shane Gu (CoRR, 2021)

Information-theoretic regularization for learning global features by sequential VAE. - Kei Akuzawa; Yusuke Iwasawa; Yutaka Matsuo (Mach. Learn., 2021)

Graph-based knowledge tracing: Modeling student proficiency using graph neural networks. - Hiromi Nakagawa; Yusuke Iwasawa; Yutaka Matsuo (Web Intell., 2021)

Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment. - Takeshi Kojima; Yutaka Matsuo; Yusuke Iwasawa (IJCAI, 2022)

Large Language Models are Zero-Shot Reasoners. - Takeshi Kojima; Shixiang Shane Gu; Machel Reid; Yutaka Matsuo; Yusuke Iwasawa (NeurIPS, 2022)

Langevin Autoencoders for Learning Deep Latent Variable Models. - Shohei Taniguchi; Yusuke Iwasawa; Wataru Kumagai; Yutaka Matsuo (NeurIPS, 2022)

World robot challenge 2020 - partner robot: a data-driven approach for room tidying with mobile manipulator. - Tatsuya Matsushima; Yuki Noguchi; Jumpei Arima; Toshiki Aoki; Yuki Okita; Yuya Ikeda; Koki Ishimoto; Shohei Taniguchi; Yuki Yamashita; Shoichi Seto; Shixiang Shane Gu; Yusuke Iwasawa; et al. (Adv. Robotics, 2022)

Realtime Fewshot Portrait Stylization Based On Geometric Alignment. - Xinrui Wang; Zhuoru Li; Xiao Zhou; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2022)

Face-mask-aware Facial Expression Recognition based on Face Parsing and Vision Transformer. - Bo Yang 057; Jianming Wu; Kazushi Ikeda; Gen Hattori; Masaru Sugano; Yusuke Iwasawa; Yutaka Matsuo (Pattern Recognit. Lett., 2022)

Detecting Object-Level Scene Changes in Images with Viewpoint Differences Using Graph Matching. - Kento Doi; Ryuhei Hamaguchi; Yusuke Iwasawa; Masaki Onishi; Yutaka Matsuo; Ken Sakurada (Remote. Sens., 2022)

Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text. - Qi Cao; Takeshi Kojima; Yutaka Matsuo; Yusuke Iwasawa (EMNLP, 2023)

A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation. - Hiroki Furuta; Yusuke Iwasawa; Yutaka Matsuo; Shixiang Shane Gu (ICLR, 2023)

End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization. - Shohei Taniguchi; Masahiro Suzuki 001; Yusuke Iwasawa; Yutaka Matsuo (ICML, 2023)

Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following. - Kazutoshi Shinoda; Yuki Takezawa; Masahiro Suzuki 001; Yusuke Iwasawa; Yutaka Matsuo (MMM (2), 2023)

Multimodal Sequential Generative Models for Semi-Supervised Language Instruction Following. - Kei Akuzawa; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2023)

Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model. - Xin Zhang; Jiaxian Guo; Paul Yoo; Yutaka Matsuo; Yusuke Iwasawa (CoRR, 2023)

GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy. - So Kuroki; Jiaxian Guo; Tatsuya Matsushima; Takuya Okubo; Masato Kobayashi; Yuya Ikeda; Ryosuke Takanami; Paul Yoo; Yutaka Matsuo; Yusuke Iwasawa (CoRR, 2023)

Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4. - Jiaxian Guo; Bo Yang 057; Paul Yoo; Bill Yuchen Lin; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2023)

TRAIL Team Description Paper for RoboCup@Home 2023. - Chikaha Tsuji; Dai Komukai; Mimo Shirasaka; Hikaru Wada; Tsunekazu Omija; Aoi Horo; Daiki Furuta; Saki Yamaguchi; So Ikoma; Soshi Tsunashima; Masato Kobayashi; Koki Ishimoto; et al. (CoRR, 2023)

Grokking Tickets: Lottery Tickets Accelerate Grokking. - Gouki Minegishi; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2023)

Deep Learning Pipeline for Spotting Macro- and Micro-expressions in Long Video Sequences Based on Action Units and Optical Flow. - Bo Yang 057; Jianming Wu; Kazushi Ikeda; Gen Hattori; Masaru Sugano; Yusuke Iwasawa; Yutaka Matsuo (Pattern Recognit. Lett., 2023)

Robustifying Vision Transformer Without Retraining from Scratch Using Attention-Based Test-Time Adaptation. - Takeshi Kojima; Yusuke Iwasawa; Yutaka Matsuo (New Gener. Comput., 2023)

Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks. - Andrew Gambardella; Yusuke Iwasawa; Yutaka Matsuo (ACL (Short Papers), 2024)

Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance? - Fumiya Uchiyama; Takeshi Kojima; Andrew Gambardella; Qi Cao; Yusuke Iwasawa; Yutaka Matsuo (EMNLP, 2024)

Paste and Harmonize via Denoising: Subject-Driven Image Editing with Frozen Pre-Trained Diffusion Model. - Xin Zhang; Jiaxian Guo; Paul Yoo; Yutaka Matsuo; Yusuke Iwasawa (ICASSP, 2024)

GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy. - So Kuroki; Jiaxian Guo; Tatsuya Matsushima; Takuya Okubo; Masato Kobayashi; Yuya Ikeda; Ryosuke Takanami; Paul Yoo; Yutaka Matsuo; Yusuke Iwasawa (ICRA, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Self-Recovery Prompting: Promptable General Purpose Service Robot System with Foundation Models and Self-Recovery. - Mimo Shirasaka; Tatsuya Matsushima; Soshi Tsunashima; Yuya Ikeda; Aoi Horo; So Ikoma; Chikaha Tsuji; Hikaru Wada; Tsunekazu Omija; Dai Komukai; Yutaka Matsuo; Yusuke Iwasawa (ICRA, 2024)

On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons. - Takeshi Kojima; Itsuki Okimura; Yusuke Iwasawa; Hitomi Yanaka; Yutaka Matsuo (NAACL-HLT, 2024)

ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate. - Shohei Taniguchi; Keno Harada; Gouki Minegishi; Yuta Oshima; Seong Cheol Jeong; Go Nagahara; Tomoshi Iiyama; Masahiro Suzuki 001; Yusuke Iwasawa; Yutaka Matsuo (NeurIPS, 2024)

Interpreting Grokked Transformers in Complex Modular Arithmetic. - Hiroki Furuta; Gouki Minegishi; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2024)

Towards Empirical Interpretation of Internal Circuits and Properties in Grokked Transformers on Modular Polynomials. - Hiroki Furuta; Gouki Minegishi; Yusuke Iwasawa; Yutaka Matsuo (Trans. Mach. Learn. Res., 2024)

Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning. - Shota Takashiro; Takeshi Kojima; Andrew Gambardella; Qi Cao; Yusuke Iwasawa; Yutaka Matsuo (ACL (Findings), 2025)

Slender-Mamba: Fully Quantized Mamba in 1.58 Bits From Head to Toe. - Zhenxuan Yu; Takeshi Kojima; Yutaka Matsuo; Yusuke Iwasawa (COLING, 2025)

Image Referenced Sketch Colorization Based on Animation Creation Workflow. - Dingkun Yan; Xinrui Wang; Zhuoru Li; Suguru Saito; Yusuke Iwasawa; Yutaka Matsuo; Jiaxian Guo (CVPR, 2025)

Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words. - Gouki Minegishi; Hiroki Furuta; Yusuke Iwasawa; Yutaka Matsuo (ICLR, 2025)

Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge. - Meiyun Wang; Takeshi Kojima; Yusuke Iwasawa; Yutaka Matsuo (NAACL (Findings), 2025)

Real-time data-efficient portrait stylization via geometric alignment. - Xinrui Wang; Zhuoru Li; Xuanyu Yin; Xiao Zhou; Yusuke Iwasawa; Yutaka Matsuo; Jiaxian Guo (Neural Networks, 2025)

Continual Pre-training on Character-level Noisy Texts Makes Decoder-based Language Models Robust Few-shot Learners. - Takeshi Kojima; Yutaka Matsuo; Yusuke Iwasawa (Trans. Assoc. Comput. Linguistics, 2025)

Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of Networks. - Gouki Minegishi; Yusuke Iwasawa; Yutaka Matsuo (Trans. Mach. Learn. Res., 2025)

Large Language Models as Theory of Mind Aware Generative Agents with Counterfactual Reflection. - Bo Yang 057; Jiaxian Guo; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2025)

Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization. - Ru Wang; Wei Huang; Selena Song; Haoyu Zhang; Yusuke Iwasawa; Yutaka Matsuo; Jiaxian Guo (CoRR, 2025)

MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation. - Weihao Xuan; Rui Yang 016; Heli Qi; Qingcheng Zeng; Yunze Xiao; Yun Xing; Junjue Wang; Huitao Li; Xin Li 079; Kunyu Yu; Nan Liu 003; Qingyu Chen 001; et al. (CoRR, 2025)

MKG-Rank: Enhancing Large Language Models with Knowledge Graph for Multilingual Medical Question Answering. - Feiyang Li; Yingjian Chen; Haoran Liu; Rui Yang 016; Han Yuan; Yuang Jiang; Tianxiao Li; Edison Marrese-Taylor; Hossein Rouhizadeh; Yusuke Iwasawa; Douglas Teodoro; Yutaka Matsuo; et al. (CoRR, 2025)

ColorizeDiffusion v2: Enhancing Reference-based Sketch Colorization Through Separating Utilities. - Dingkun Yan; Xinrui Wang; Yusuke Iwasawa; Yutaka Matsuo; Suguru Saito; Jiaxian Guo (CoRR, 2025)

A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics. - Takeshi Kojima; Yaonan Zhu; Yusuke Iwasawa; Toshinori Kitamura; Gang Yan; Shu Morikuni; Ryosuke Takanami; Alfredo Solano; Tatsuya Matsushima; Akiko Murakami; Yutaka Matsuo (CoRR, 2025)

Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence. - Gouki Minegishi; Hiroki Furuta; Shohei Taniguchi; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2025)

Inconsistent Tokenizations Cause Language Models to be Perplexed by Japanese Grammar. - Andrew Gambardella; Takeshi Kojima; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2025)

Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties. - Gouki Minegishi; Hiroki Furuta; Takeshi Kojima; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2025)

SPARK: Graph-Based Online Semantic Integration System for Robot Task Planning. - Mimo Shirasaka; Yuya Ikeda; Tatsuya Matsushima; Yutaka Matsuo; Yusuke Iwasawa (CoRR, 2025)

How Semantically Informative is an Image?: Measuring the Covariance-Weighted Norm of Contrastive Learning Embeddings. - Fumiya Uchiyama; Rintaro Yanagi; Shohei Taniguchi; Shota Takashiro; Masahiro Suzuki 001; Hirokatsu Kataoka; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2025)

Dynamic Injection of Entity Knowledge into Dense Retrievers. - Ikuya Yamada; Ryokan Ri; Takeshi Kojima; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2025)

LLMs-guided adaptive compensator: Bringing Adaptivity to Automatic Control Systems with Large Language Models. - Zhongchao Zhou; Yuxi Lu; Yaonan Zhu; Yifan Zhao; Bin He; Liang He; Wenwen Yu; Yusuke Iwasawa (CoRR, 2025)

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training. - Sodtavilan Odonchimed; Tatsuya Matsushima; Simon Holk; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2025)

AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots. - Xinjie Zhao; Moritz Blum; Fan Gao; Yingjian Chen; Boming Yang; Luis Marquez-Carpintero; Monica Pina-Navarro; Yanran Fu; So Morikawa; Yusuke Iwasawa; Yutaka Matsuo; Chanjun Park; et al. (CoRR, 2025)