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Makoto Yamada

  1. GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks
    2020/01/17 by Qiang Huang, Huang, Qiang, Makoto Yamada +9 · 16 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
  2. Transformer Dissection: A Unified Understanding of Transformer's\n Attention via the Lens of Kernel
    2019/08/30 by Yao-Hung Hubert Tsai, Shaojie Bai, Tsai, Yao-Hung Hubert +7 · 13 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  3. High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso
    2013/10/08 by Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal +2 · 8 citations
    Computer Science · Mathematics · #Face and Expression Recognition #Machine Learning and Data Classification #Statistical Methods and Inference
  4. Random Features Strengthen Graph Neural Networks
    2020/02/08 by Ryoma Sato, Makoto Yamada, Sato, Ryoma +3 · 11 citations
    Computer Science · Engineering · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Relative Density-Ratio Estimation for Robust Distribution Comparison
    2011/06/23 by Makoto Yamada, Taiji Suzuki, Yamada, Makoto +7 · 8 citations
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Methodology (stat.ME) #Statistics Theory (math.ST)
  6. On Verbalized Confidence Scores for LLMs
    2024/12/19 by Daniel Yang, Yang, Daniel, Yao-Hung Hubert Tsai +3 · 2 voices · 18 citations
    #cs.CL
  7. Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis
    2024/06/16 by Yuping Lin, Peng He, Lin, Yuping +11 · 18 citations
    Computer Science · #Digital and Cyber Forensics #Cybercrime and Law Enforcement Studies #Information and Cyber Security
  8. Embarrassingly Simple Text Watermarks
    2023/10/13 by Ryoma Sato, Yuki Takezawa, Sato, Ryoma +7 · 1 voice · 6 citations
    Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Adversarial Robustness in Machine Learning
  9. Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams
    2018/02/10 by Tam Le, Makoto Yamada, Le, Tam +1 · 6 citations
    Computer Science · Medicine · #Topological and Geometric Data Analysis #Leprosy Research and Treatment
  10. Kernel Stein Tests for Multiple Model Comparison
    2019/10/27 by Jen Ning Lim, Lim, Jen Ning, Makoto Yamada +5 · 4 citations
    Mathematics · Decision Sciences · #Statistical Methods and Bayesian Inference #Advanced Statistical Process Monitoring #Advanced Statistical Methods and Models
  11. Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces
    2020/02/05 by Ryoma Sato, Marco Cuturi, Sato, Ryoma +5 · 3 citations
    Computer Science · #Advanced Clustering Algorithms Research #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. Neural Methods for Point-wise Dependency Estimation
    2020/06/09 by Yao-Hung Hubert Tsai, Tsai, Yao-Hung Hubert, Han Zhao +7 · 3 citations
    Computer Science · Materials Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Methodology (stat.ME) #Neural Networks and Applications
  13. Parameter-free Clipped Gradient Descent Meets Polyak
    2024/05/23 by Yuki Takezawa, Takezawa, Yuki, Han Bao +7 · 4 citations
    Computer Science · Decision Sciences · Medicine · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  14. Necessary and Sufficient Watermark for Large Language Models
    2023/10/02 by Yuki Takezawa, Ryoma Sato, Takezawa, Yuki +7 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  15. Tree-Sliced Variants of Wasserstein Distances
    2019/02/01 by Tam Le, Le, Tam, Makoto Yamada +5 · 2 citations
    Engineering · Environmental Science · #3D Shape Modeling and Analysis #Asphalt Pavement Performance Evaluation #FOS: Computer and information sciences #Groundwater flow and contamination studies #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  16. Structural Explanations for Graph Neural Networks using HSIC
    2023/02/04 by Ayato Toyokuni, Toyokuni, Ayato, Makoto Yamada +1 · 2 citations
    Computer Science · Materials Science · #Explainable Artificial Intelligence (XAI) #Advanced Graph Neural Networks #Machine Learning in Materials Science
  17. Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence
    2023/05/19 by Yuki Takezawa, Takezawa, Yuki, Ryoma Sato +7 · 2 citations
    Computer Science · #Cooperative Communication and Network Coding #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  18. Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data
    2016/08/14 by Makoto Yamada, Jiliang Tang, Yamada, Makoto +23 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Chemistry · #Advanced Proteomics Techniques and Applications #FOS: Computer and information sciences #Machine Learning (stat.ML) #Machine Learning in Bioinformatics #Metabolomics and Mass Spectrometry Studies
  19. Feature Selection for Discovering Distributional Treatment Effect Modifiers
    2022/06/01 by Yoichi Chikahara, Chikahara, Yoichi, Makoto Yamada +3 · 1 citation
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistical Methods in Clinical Trials
  20. Learning Structured Representations with Hyperbolic Embeddings
    2024/12/02 by Aditya Sinha, Sinha, Aditya, Zeng, Siqi +4 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  21. Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection
    2025/04/15 by Salehi, Alireza, Mohammadreza Salehi, Reshad Hosseini +8 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning
  22. Fast unsupervised ground metric learning with tree-Wasserstein distance
    2024/11/11 by Kira M. Düsterwald, Düsterwald, Kira M., Samo Hromadka +3 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Face and Expression Recognition #Human Pose and Action Recognition #Machine Learning (cs.LG)
  23. SiamJEPA: On the Role of Siamese Student Encoders in JEPA
    2026/07/30 by Makoto Yamada
    Computer Science · Mathematics · #cs.CV #stat.ML
  24. Effects of width-dependent model hyperparameters and ℓ2-regularization on the loss landscape of two-layer ReLU networks
    2026/07/18 by Haruka Eshima, Makoto Yamada
    #cs.LG