Makoto Yamada - RankMe

240 papers A* 37A 22B 8C 5Misc 6Journal 128Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TIPS Over Tricks: Simple Prompts for Effective Zero-shot Anomaly Detection. CoRR Alireza Salehi, Ehsan Karami, Sepehr Noey, Sahand Noey, Makoto Yamada, Reshad Hosseini, Mohammad Sabokrou
2025	J	`jnl`	Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections. CoRR Alireza Salehi, Mohammadreza Salehi, Reshad Hosseini, Cees G. M. Snoek, Makoto Yamada, Mohammad Sabokrou
2025	—	`conf`	Data Poisoning for In-context Learning. NAACL (Findings) Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang
2025	J	`jnl`	Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation. CoRR Kaoru Otsuka, Yuki Takezawa, Makoto Yamada
2025	J	`jnl`	Efficient Model Editing with Task Vector Bases: A Theoretical Framework and Scalable Approach. CoRR Siqi Zeng, Yifei He, Weiqiu You, Yifan Hao, Yao-Hung Hubert Tsai, Makoto Yamada, Han Zhao
2025	A*	`conf`	Fast unsupervised ground metric learning with tree-Wasserstein distance. ICLR Kira Michaela Düsterwald, Samo Hromadka, Makoto Yamada
2025	A*	`conf`	Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport. ICLR Siqi Zeng, Sixian Du, Makoto Yamada, Han Zhao
2025	J	`jnl`	Many-to-Many Matching via Sparsity Controlled Optimal Transport. CoRR Weijie Liu, Han Bao, Makoto Yamada, Zenan Huang, Nenggan Zheng, Hui Qian
2025	J	`jnl`	Necessary and Sufficient Watermark for Large Language Models. Trans. Mach. Learn. Res. Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
2025	J	`jnl`	PhiNet v2: A Mask-Free Brain-Inspired Vision Foundation Model from Video. CoRR Makoto Yamada, Kian Ming A. Chai, Ayoub Rhim, Satoki Ishikawa, Mohammad Sabokrou, Yao-Hung Hubert Tsai
2025	A*	`conf`	PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis. ICLR Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa
2025	J	`jnl`	Sparse minimum Redundancy Maximum Relevance for feature selection. CoRR Peter Naylor, Benjamin Poignard, Héctor Climente-González, Makoto Yamada
2025	J	`jnl`	When LRP Diverges from Leave-One-Out in Transformers. CoRR Weiqiu You, Siqi Zeng, Yao-Hung Hubert Tsai, Makoto Yamada, Han Zhao
2024	J	`jnl`	An Empirical Study of Self-Supervised Learning with Wasserstein Distance. Entropy Makoto Yamada, Yuki Takezawa, Guillaume Houry, Kira Michaela Düsterwald, Déborah Sulem, Han Zhao, Yao-hung Tsai
2024	J	`jnl`	Bilaterally Normalized Scale-Consistent Sinkhorn Distance for Few-Shot Image Classification. IEEE Trans. Neural Networks Learn. Syst. Yanbin Liu, Linchao Zhu, Xiaohan Wang, Makoto Yamada, Yi Yang
2024	J	`jnl`	Data Poisoning for In-context Learning. CoRR Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang
2024	A	`conf`	Fast 1-Wasserstein distance approximations using greedy strategies. AISTATS Guillaume Houry, Han Bao, Han Zhao, Makoto Yamada
2024	J	`jnl`	Fast unsupervised ground metric learning with tree-Wasserstein distance. CoRR Kira Michaela Dusterwald, Samo Hromadka, Makoto Yamada
2024	A	`conf`	Implicit neural representation for change detection. WACV Peter Naylor, Diego Di Carlo, Arianna Traviglia, Makoto Yamada, Marco Fiorucci
2024	J	`jnl`	Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport. CoRR Siqi Zeng, Sixian Du, Makoto Yamada, Han Zhao
2024	A*	`conf`	Learning Structured Representations with Hyperbolic Embeddings. NeurIPS Aditya Sinha, Siqi Zeng, Makoto Yamada, Han Zhao
2024	J	`jnl`	Learning Structured Representations with Hyperbolic Embeddings. CoRR Aditya Sinha, Siqi Zeng, Makoto Yamada, Han Zhao
2024	J	`jnl`	On Verbalized Confidence Scores for LLMs. CoRR Daniel Yang, Yao-Hung Hubert Tsai, Makoto Yamada
2024	A*	`conf`	Parameter-free Clipped Gradient Descent Meets Polyak. NeurIPS Yuki Takezawa, Han Bao, Ryoma Sato, Kenta Niwa, Makoto Yamada
2024	J	`jnl`	PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis. CoRR Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa
2024	J	`jnl`	Polyak Meets Parameter-free Clipped Gradient Descent. CoRR Yuki Takezawa, Han Bao, Ryoma Sato, Kenta Niwa, Makoto Yamada
2024	J	`jnl`	Stealthy Backdoor Attack via Confidence-driven Sampling. Trans. Mach. Learn. Res. Pengfei He, Yue Xing, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou
2024	A*	`conf`	Structural Fairness-aware Active Learning for Graph Neural Networks. ICLR Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada
2024	A*	`conf`	Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. EMNLP Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang
2024	J	`jnl`	Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. CoRR Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang
2024	J	`jnl`	Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study. CoRR Pengfei He, Yingqian Cui, Han Xu, Hui Liu, Makoto Yamada, Jiliang Tang, Yue Xing
2023	A*	`conf`	A linear time approximation of Wasserstein distance with word embedding selection. EMNLP Sho Otao, Makoto Yamada
2023	J	`jnl`	An Empirical Study of Simplicial Representation Learning with Wasserstein Distance. CoRR Makoto Yamada, Yuki Takezawa, Guillaume Houry, Kira Michaela Dusterwald, Déborah Sulem, Han Zhao, Yao-Hung Hubert Tsai
2023	A*	`conf`	Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence. NeurIPS Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
2023	J	`jnl`	Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence. CoRR Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
2023	J	`jnl`	Communication Compression for Decentralized Learning With Operator Splitting Methods. IEEE Trans. Signal Inf. Process. over Networks Yuki Takezawa, Kenta Niwa, Makoto Yamada
2023	J	`jnl`	Confidence-driven Sampling for Backdoor Attacks. CoRR Pengfei He, Han Xu, Yue Xing, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou
2023	J	`jnl`	Embarrassingly Simple Text Watermarks. CoRR Ryoma Sato, Yuki Takezawa, Han Bao, Kenta Niwa, Makoto Yamada
2023	J	`jnl`	Features and Properties of Single-Pixel Imaging Using Speckle Patterns Generated by Multi-Core Fiber. IEEE Access Ryuta Yamaguchi, Kanami Ikeda, Osanori Koyama, Makoto Yamada
2023	B	`conf`	FsNet: Feature Selection Network on High-dimensional Biological Data. IJCNN Dinesh Singh, Héctor Climente-González, Mathis Petrovich, Eiryo Kawakami, Makoto Yamada
2023	J	`jnl`	GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. IEEE Trans. Knowl. Data Eng. Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Yi Chang
2023	—	`conf`	Identifying Visitor's Paintings Appreciation for AI Audio Guide in Museums. ICAART (2) Mari Saito, Takato Okudo, Makoto Yamada, Seiji Yamada
2023	J	`jnl`	Implicit neural representation for change detection. CoRR Peter Naylor, Diego Di Carlo, Arianna Traviglia, Makoto Yamada, Marco Fiorucci
2023	J	`jnl`	Inflating 2D convolution weights for efficient generation of 3D medical images. Comput. Methods Programs Biomed. Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Frank M. Sanfilippo, Makoto Yamada, Mohammed Bennamoun
2023	A*	`conf`	Large-scale similarity search with Optimal Transport. EMNLP Cléa Laouar, Yuki Takezawa, Makoto Yamada
2023	J	`jnl`	Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data. Trans. Mach. Learn. Res. Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada
2023	J	`jnl`	Necessary and Sufficient Watermark for Large Language Models. CoRR Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
2023	J	`jnl`	Nystrom Method for Accurate and Scalable Implicit Differentiation. CoRR Ryuichiro Hataya, Makoto Yamada
2023	A	`conf`	Nyström Method for Accurate and Scalable Implicit Differentiation. AISTATS Ryuichiro Hataya, Makoto Yamada
2023	J	`jnl`	Optimal Transport for Change Detection on LiDAR Point Clouds. CoRR Marco Fiorucci, Peter Naylor, Makoto Yamada
2023	C	`conf`	Optimal Transport for Change Detection on Lidar Point Clouds. IGARSS Marco Fiorucci, Peter Naylor, Makoto Yamada
2023	A*	`conf`	Robust Graph Dictionary Learning. ICLR Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, Hui Qian
2023	J	`jnl`	Structural Explanations for Graph Neural Networks using HSIC. CoRR Ayato Toyokuni, Makoto Yamada
2022	J	`jnl`	Approximating 1-Wasserstein Distance with Trees. CoRR Makoto Yamada, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi
2022	J	`jnl`	Approximating 1-Wasserstein Distance with Trees. Trans. Mach. Learn. Res. Makoto Yamada, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi
2022	J	`jnl`	Communication Compression for Decentralized Learning with Operator Splitting Methods. CoRR Yuki Takezawa, Kenta Niwa, Makoto Yamada
2022	J	`jnl`	Constant Time Graph Neural Networks. ACM Trans. Knowl. Discov. Data Ryoma Sato, Makoto Yamada, Hisashi Kashima
2022	J	`jnl`	Feature Selection for Discovering Distributional Treatment Effect Modifiers. CoRR Yoichi Chikahara, Makoto Yamada, Hisashi Kashima
2022	A	`conf`	Feature screening with kernel knockoffs. AISTATS Benjamin Poignard, Peter J. Naylor, Héctor Climente-González, Makoto Yamada
2022	A	`conf`	Feature selection for discovering distributional treatment effect modifiers. UAI Yoichi Chikahara, Makoto Yamada, Hisashi Kashima
2022	—	`conf`	Feature-Robust Optimal Transport for High-Dimensional Data. ECML/PKDD (5) Mathis Petrovich, Chao Liang, Ryoma Sato, Yanbin Liu, Yao-Hung Hubert Tsai, Linchao Zhu, Yi Yang, Ruslan Salakhutdinov, Makoto Yamada
2022	A	`conf`	Fixed Support Tree-Sliced Wasserstein Barycenter. AISTATS Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada
2022	J	`jnl`	Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images. CoRR Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Frank M. Sanfilippo, Makoto Yamada, Mohammed Bennamoun
2022	—	`conf`	Modality estimation methods in internal training reflection texts using BERT. IIAI-AAI Makoto Yamada, Tsunenori Mine
2022	J	`jnl`	Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data. CoRR Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada
2022	J	`jnl`	Poincare: Recommending Publication Venues via Treatment Effect Estimation. J. Informetrics Ryoma Sato, Makoto Yamada, Hisashi Kashima
2022	A*	`conf`	Re-evaluating Word Mover's Distance. ICML Ryoma Sato, Makoto Yamada, Hisashi Kashima
2022	J	`jnl`	Scale dependant layer for self-supervised nuclei encoding. CoRR Peter Naylor, Yao-Hung Hubert Tsai, Marick Laé, Makoto Yamada
2022	J	`jnl`	Theoretical Analysis of Primal-Dual Algorithm for Non-Convex Stochastic Decentralized Optimization. CoRR Yuki Takezawa, Kenta Niwa, Makoto Yamada
2022	A	`conf`	Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. CIKM Ryoma Sato, Makoto Yamada, Hisashi Kashima
2022	J	`jnl`	Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. CoRR Ryoma Sato, Makoto Yamada, Hisashi Kashima
2021	A*	`conf`	Adversarial Regression with Doubly Non-negative Weighting Matrices. NeurIPS Tam Le, Truyen Nguyen, Makoto Yamada, Jose H. Blanchet, Viet Anh Nguyen
2021	J	`jnl`	Adversarial Regression with Doubly Non-negative Weighting Matrices. CoRR Tam Le, Truyen Nguyen, Makoto Yamada, Jose H. Blanchet, Viet Anh Nguyen
2021	—	`conf`	Computationally Efficient Wasserstein Loss for Structured Labels. EACL (Student Research Workshop) Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada
2021	J	`jnl`	Computationally Efficient Wasserstein Loss for Structured Labels. CoRR Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada
2021	A*	`conf`	Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares. NeurIPS Hiroaki Yamada, Makoto Yamada
2021	J	`jnl`	Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares. CoRR Hiroaki Yamada, Makoto Yamada
2021	J	`jnl`	Fixed Support Tree-Sliced Wasserstein Barycenter. CoRR Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada
2021	A	`conf`	Flow-based Alignment Approaches for Probability Measures in Different Spaces. AISTATS Tam Le, Nhat Ho, Makoto Yamada
2021	—	`conf`	LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport. ECML/PKDD (1) Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang
2021	J	`jnl`	Nys-Curve: Nyström-Approximated Curvature for Stochastic Optimization. CoRR Hardik Tankaria, Dinesh Singh, Makoto Yamada
2021	A*	`conf`	Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. ICML Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne
2021	A*	`conf`	Post-selection inference with HSIC-Lasso. ICML Tobias Freidling, Benjamin Poignard, Héctor Climente-González, Makoto Yamada
2021	A	`conf`	Random Features Strengthen Graph Neural Networks. SDM Ryoma Sato, Makoto Yamada, Hisashi Kashima
2021	J	`jnl`	Re-evaluating Word Mover's Distance. CoRR Ryoma Sato, Makoto Yamada, Hisashi Kashima
2021	A*	`conf`	Supervised Tree-Wasserstein Distance. ICML Yuki Takezawa, Ryoma Sato, Makoto Yamada
2021	J	`jnl`	Supervised Tree-Wasserstein Distance. CoRR Yuki Takezawa, Ryoma Sato, Makoto Yamada
2020	J	`jnl`	Fast Unbalanced Optimal Transport on Tree. CoRR Ryoma Sato, Makoto Yamada, Hisashi Kashima
2020	A*	`conf`	Fast Unbalanced Optimal Transport on a Tree. NeurIPS Ryoma Sato, Makoto Yamada, Hisashi Kashima
2020	J	`jnl`	Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces. CoRR Ryoma Sato, Marco Cuturi, Makoto Yamada, Hisashi Kashima
2020	J	`jnl`	Fast local linear regression with anchor regularization. CoRR Mathis Petrovich, Makoto Yamada
2020	J	`jnl`	Feature Robust Optimal Transport for High-dimensional Data. CoRR Mathis Petrovich, Chao Liang, Yanbin Liu, Yao-Hung Hubert Tsai, Linchao Zhu, Yi Yang, Ruslan Salakhutdinov, Makoto Yamada
2020	J	`jnl`	FsNet: Feature Selection Network on High-dimensional Biological Data. CoRR Dinesh Singh, Makoto Yamada
2020	J	`jnl`	GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. CoRR Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Dawei Yin, Yi Chang
2020	A	`conf`	More Powerful Selective Kernel Tests for Feature Selection. AISTATS Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
2020	A*	`conf`	Neural Methods for Point-wise Dependency Estimation. NeurIPS Yao-Hung Hubert Tsai, Han Zhao, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov
2020	J	`jnl`	Neural Methods for Point-wise Dependency Estimation. CoRR Yao-Hung Hubert Tsai, Han Zhao, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov
2020	J	`jnl`	Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. CoRR Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne
2020	J	`jnl`	Poincare: Recommending Publication Venues via Treatment Effect Estimation. CoRR Ryoma Sato, Makoto Yamada, Hisashi Kashima
2020	J	`jnl`	Random Features Strengthen Graph Neural Networks. CoRR Ryoma Sato, Makoto Yamada, Hisashi Kashima
2020	J	`jnl`	Scaled Coupled Norms and Coupled Higher-Order Tensor Completion. Neural Comput. Kishan Wimalawarne, Makoto Yamada, Hiroshi Mamitsuka
2020	A*	`conf`	Semantic Correspondence as an Optimal Transport Problem. CVPR Yanbin Liu, Linchao Zhu, Makoto Yamada, Yi Yang
2020	B	`conf`	Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. DSAA Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima
2020	A	`conf`	Sparse Hilbert-Schmidt Independence Criterion Regression. AISTATS Benjamin Poignard, Makoto Yamada
2020	A	`conf`	Topological Bayesian Optimization with Persistence Diagrams. ECAI Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada
2020	A*	`conf`	Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. AAAI Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang
2020	J	`jnl`	Volumization as a Natural Generalization of Weight Decay. CoRR Liu Ziyin, Zihao Wang, Makoto Yamada, Masahito Ueda
2019	A*	`conf`	Approximation Ratios of Graph Neural Networks for Combinatorial Problems. NeurIPS Ryoma Sato, Makoto Yamada, Hisashi Kashima
2019	J	`jnl`	Approximation Ratios of Graph Neural Networks for Combinatorial Problems. CoRR Ryoma Sato, Makoto Yamada, Hisashi Kashima
2019	J	`jnl`	Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data. Bioinform. Héctor Climente-González, Chloé-Agathe Azencott, Samuel Kaski, Makoto Yamada
2019	J	`jnl`	Computationally Efficient Tree Variants of Gromov-Wasserstein. CoRR Tam Le, Nhat Ho, Makoto Yamada
2019	J	`jnl`	Constant Time Graph Neural Networks. CoRR Ryoma Sato, Makoto Yamada, Hisashi Kashima
2019	—	`conf`	Context-Regularized Neural Collaborative Filtering for Game App Recommendation. RecSys (Late-Breaking Results) Shonosuke Harada, Kazuki Taniguchi, Makoto Yamada, Hisashi Kashima
2019	B	`conf`	Effect of Cutting Maneuvers on Center of Foot Pressure Movement in University Tennis Players. SMC Naotaka Tomita, Kouki Nagamune, Makoto Yamada
2019	—	`conf`	In-Vehicle Network Intrusion Detection and Explanation Using Density Ratio Estimation. ITSC Daiki Tanaka, Makoto Yamada, Hisashi Kashima, Takeshi Kishikawa, Tomoyuki Haga, Takamitsu Sasaki
2019	A*	`conf`	Kernel Stein Tests for Multiple Model Comparison. NeurIPS Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum
2019	J	`jnl`	Kernel Stein Tests for Multiple Model Comparison. CoRR Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum
2019	J	`jnl`	LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport. CoRR Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang
2019	J	`jnl`	Learning to Find Hard Instances of Graph Problems. CoRR Ryoma Sato, Makoto Yamada, Hisashi Kashima
2019	C	`conf`	Learning to Sample Hard Instances for Graph Algorithms. ACML Ryoma Sato, Makoto Yamada, Hisashi Kashima
2019	J	`jnl`	More Powerful Selective Kernel Tests for Feature Selection. CoRR Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
2019	—	`conf`	OSTNet: Calibration Method for Optical See-Through Head-Mounted Displays via Non-Parametric Distortion Map Generation. ISMAR Adjunct Kiyosato Someya, Yuichi Hiroi, Makoto Yamada, Yuta Itoh
2019	J	`jnl`	On Scalable Variant of Wasserstein Barycenter. CoRR Tam Le, Viet Huynh, Nhat Ho, Dinh Q. Phung, Makoto Yamada
2019	—	`conf`	OpenFlow-based Remote Control of Optical Switch Employing IoT Device in AWG-STAR with Loop-back Function. OECC/PSC Keigo Minou, Seiya Aso, Osanori Koyama, Minoru Yamaguchi, Yudai Tomioka, Yuki Ogura, Kanami Ikeda, Makoto Yamada
2019	—	`conf`	Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator. ICLR (Poster) Makoto Yamada, Denny Wu, Yao-Hung Hubert Tsai, Hirofumi Ohta, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu
2019	J	`jnl`	Robust Sample-Specific Stability Selection with Effective Error Control. J. Comput. Biol. Heewon Park, Makoto Yamada, Seiya Imoto, Satoru Miyano
2019	—	`conf`	Single-pixel Imaging using a Multi-core Fiber. OECC/PSC Yohei Kameyama, Kanami Ikeda, Osanori Koyama, Makoto Yamada
2019	J	`jnl`	Topological Bayesian Optimization with Persistence Diagrams. CoRR Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada
2019	—	`conf`	Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel. EMNLP/IJCNLP (1) Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov
2019	J	`jnl`	Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel. CoRR Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov
2019	J	`jnl`	Tree-Sliced Approximation of Wasserstein Distances. CoRR Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi
2019	A*	`conf`	Tree-Sliced Variants of Wasserstein Distances. NeurIPS Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi
2019	—	`conf`	Vision-based Localization using a Monocular Camera in the Rain. ITSC Makoto Yamada, Tomoya Sato, Hiroyuki Chishiro, Shinpei Kato
2018	J	`jnl`	"Dependency Bottleneck" in Auto-encoding Architectures: an Empirical Study. CoRR Denny Wu, Yixiu Zhao, Yao-Hung Hubert Tsai, Makoto Yamada, Ruslan Salakhutdinov
2018	—	`conf`	A Development of Measurement System for Foot Pressure by Using Optical Force Sensors. WAC Makoto Yamada, Kouki Nagamune
2018	B	`conf`	A Wearable Measurement System for Sole Pressure to Calculate Center of Pressure in Sports Activity. SMC Kouki Nagamune, Makoto Yamada
2018	J	`jnl`	Convex Coupled Matrix and Tensor Completion. Neural Comput. Kishan Wimalawarne, Makoto Yamada, Hiroshi Mamitsuka
2018	Misc	`conf`	Intra-/inter-user adaptation framework for wearable gesture sensing device. UbiComp Kosuke Kikui, Yuta Itoh, Makoto Yamada, Yuta Sugiura, Maki Sugimoto
2018	A*	`conf`	Learning Unsupervised Word Translations Without Adversaries. EMNLP Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales
2018	J	`jnl`	Loss peak adjustment of long period fiber grating fabricated with CO IEICE Electron. Express Toshinori Murakami, Osanori Koyama, Akihiro Kusama, Makoto Matsui, Makoto Yamada
2018	J	`jnl`	Optimizing Whole-Page Presentation for Web Search. ACM Trans. Web Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei
2018	A*	`conf`	Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams. NeurIPS Tam Le, Makoto Yamada
2018	A	`conf`	Post Selection Inference with Kernels. AISTATS Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi
2018	J	`jnl`	Riemannian Manifold Kernel for Persistence Diagrams. CoRR Tam Le, Makoto Yamada
2018	—	`conf`	Selecting the Best in GANs Family: a Post Selection Inference Framework. ICLR (Workshop) Yao-Hung Hubert Tsai, Denny Wu, Makoto Yamada, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu
2018	J	`jnl`	Selecting the Best in GANs Family: a Post Selection Inference Framework. CoRR Yao-Hung Hubert Tsai, Makoto Yamada, Denny Wu, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu
2018	J	`jnl`	Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. IEEE Trans. Knowl. Data Eng. Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez, Ermin Hodzic, Raunak Shrestha, Avishek Saha, Hua Ouyang, Dawei Yin, Hiroshi Mamitsuka, Süleyman Cenk Sahinalp, Predrag Radivojac, Filippo Menczer, Yi Chang
2017	A*	`conf`	Convex Factorization Machine for Toxicogenomics Prediction. KDD Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang
2017	J	`jnl`	Deep Matching Autoencoders. CoRR Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales
2017	J	`jnl`	Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation. CoRR Makoto Yamada, Song Liu, Samuel Kaski
2017	A	`conf`	Localized Lasso for High-Dimensional Regression. AISTATS Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski
2016	—	`conf`	32-core Dense SDM unidirectional transmission of PDM-16QAM signals over 1600 km using crosstalk-managed single-mode heterogeneous multicore transmission line. OFC Takayuki Mizuno, Kohki Shibahara, Hirotaka Ono, Y. Abe, Yutaka Miyamoto, Feihong Ye, Toshio Morioka, Yusuke Sasaki, Yoshimichi Amma, Katsuhiro Takenaga, S. Matsuo, Kazuhiko Aikawa, Kunimasa Saitoh, Yongmin Jung, David J. Richardson, Klaus Pulverer, Marc Bohn, Makoto Yamada
2016	A*	`conf`	A Robust Convex Formulation for Ensemble Clustering. IJCAI Junning Gao, Makoto Yamada, Samuel Kaski, Hiroshi Mamitsuka, Shanfeng Zhu
2016	A	`conf`	Beyond Ranking: Optimizing Whole-Page Presentation. WSDM Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei
2016	J	`jnl`	High Efficiency Machining for Integral Shaping from Simplicity Materials Using Five-Axis Machine Tools. Int. J. Autom. Technol. Makoto Yamada, Tsukasa Kondo, Kai Wakasa
2016	J	`jnl`	Lifecycle Modeling for Buzz Temporal Pattern Discovery. ACM Trans. Knowl. Discov. Data Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu
2016	—	`conf`	Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models. NIPS Tomoharu Iwata, Makoto Yamada
2016	—	`conf`	Space-time coding-assisted transmission for mitigation of MDL impact on mode-division multiplexed signals. OFC Kohki Shibahara, Takayuki Mizuno, Hidehiko Takara, H. Kawakami, D. Lee, Yutaka Miyamoto, S. Matsuo, Kunimasa Saitoh, Makoto Yamada
2016	J	`jnl`	Sparse Network Lasso for Local High-dimensional Regression. CoRR Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski
2016	A*	`conf`	Timeline Summarization from Social Media with Life Cycle Models. IJCAI Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu
2016	—	`conf`	Which Tumblr Post Should I Read Next? ACL (2) Zornitsa Kozareva, Makoto Yamada
2015	J	`jnl`	A Near-Field Magnetic Sensing System With High-Spatial Resolution and Application for Security of Cryptographic LSIs. IEEE Trans. Instrum. Meas. Nguyen Ngoc Mai Khanh, Tetsuya Iizuka, Akihiko Sasaki, Makoto Yamada, Osamu Morita, Kunihiro Asada
2015	A	`conf`	Consistent Collective Matrix Completion under Joint Low Rank Structure. AISTATS Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang
2015	J	`jnl`	Convex Factorization Machine for Regression. CoRR Makoto Yamada, Amit Goyal, Yi Chang
2015	J	`jnl`	Cross-Domain Matching with Squared-Loss Mutual Information. IEEE Trans. Pattern Anal. Mach. Intell. Makoto Yamada, Leonid Sigal, Michalis Raptis, Machiko Toyoda, Yi Chang, Masashi Sugiyama
2014	—	`conf`	1.7 µm band optical fiber amplifier. OFC Makoto Yamada, Hirotaka Ono, K. Ohta, Shinichi Aozasa, T. Tanaka, K. Senda, Y. Maeda, Osanori Koyama, Jun Ono
2014	—	`conf`	120.7-Tb/s (7 SDM/180 WDM/95.8 Gb/s) MCF-ROPA un epeatered transmission of PDM-32QAM channels over 204 km. ECOC Hidehiko Takara, Takayuki Mizuno, H. Kawakami, Yutaka Miyamoto, Hiroji Masuda, K. Kitamura, Hirotaka Ono, S. Asakawa, Yoshimichi Amma, Keisuke Hirakawa, S. Matsuo, K. Tsujikawa, Makoto Yamada
2014	J	`jnl`	Consistent Collective Matrix Completion under Joint Low Rank Structure. CoRR Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang
2014	J	`jnl`	Covariate Shift Adaptation for Discriminative 3D Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Makoto Yamada, Leonid Sigal, Michalis Raptis
2014	J	`jnl`	Design and performance evaluation of amplifier modules in stackable ROADMs for low-cost CWDM access networks. Photonic Netw. Commun. Md. Nooruzzaman, Halima Elbiaze, Raja Zahilah, Osanori Koyama, Makoto Yamada
2014	J	`jnl`	Domain Adaptation for Structured Regression. Int. J. Comput. Vis. Makoto Yamada, Leonid Sigal, Yi Chang
2014	J	`jnl`	High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso. Neural Comput. Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal, Eric P. Xing, Masashi Sugiyama
2014	B	`conf`	High-resolution measurement of magnetic field generated from cryptographic LSIs. SAS Nguyen Ngoc Mai Khanh, Tetsuya Iizuka, Akihiko Sasaki, Makoto Yamada, Osamu Morita, Kunihiro Asada
2014	J	`jnl`	Information-Maximization Clustering Based on Squared-Loss Mutual Information. Neural Comput. Masashi Sugiyama, Gang Niu, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya
2014	J	`jnl`	Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization. Neural Comput. Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama
2014	J	`jnl`	Least-squares independence regression for non-linear causal inference under non-Gaussian noise. Mach. Learn. Makoto Yamada, Masashi Sugiyama, Jun Sese
2014	J	`jnl`	Multi-view Anomaly Detection via Probabilistic Latent Variable Models. CoRR Tomoharu Iwata, Makoto Yamada
2014	J	`jnl`	N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data. CoRR Makoto Yamada, Avishek Saha, Hua Ouyang, Dawei Yin, Yi Chang
2014	A*	`conf`	Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery. ICDM Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu
2013	A*	`conf`	Change-Point Detection with Feature Selection in High-Dimensional Time-Series Data. IJCAI Makoto Yamada, Akisato Kimura, Futoshi Naya, Hiroshi Sawada
2013	J	`jnl`	Change-point detection in time-series data by relative density-ratio estimation. Neural Networks Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama
2013	A	`conf`	Clustering-based anomaly detection in multi-view data. CIKM Alejandro Marcos Alvarez, Makoto Yamada, Akisato Kimura, Tomoharu Iwata
2013	J	`jnl`	Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning. J. Comput. Sci. Eng. Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Masao Yamanaka, Makoto Yamada, Taiji Suzuki, Takafumi Kanamori
2013	—	`conf`	Exploiting socially-generated side information in dimensionality reduction. SAM@ACM Multimedia Alejandro Marcos Alvarez, Makoto Yamada, Akisato Kimura
2013	J	`jnl`	High temperature detection inside large-scale plants using distributed sensor fabricated by 10 LPG resonant wavelengths multiplexing. IEICE Electron. Express Osanori Koyama, Hikaru Sumiana, Yoshikazu Toyooka, Makoto Yamada
2013	A*	`conf`	Image context discovery from socially curated contents. ACM Multimedia Akisato Kimura, Katsuhiko Ishiguro, Makoto Yamada, Alejandro Marcos Alvarez, Kaori Kataoka, Kazuhiko Murasaki
2013	J	`jnl`	Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis. Digit. Signal Process. Makoto Yamada, Gordon Wichern, Kazunobu Kondo, Masashi Sugiyama, Hiroshi Sawada
2013	J	`jnl`	Relative Density-Ratio Estimation for Robust Distribution Comparison. Neural Comput. Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama
2013	J	`jnl`	Scalable Single-Fiber CWDM Ring Networks With Stackable ROADMs. JOCN Md. Nooruzzaman, Osanori Koyama, Makoto Yamada, Yutaka Katsuyama
2013	J	`jnl`	Stackable ROADMs for minimizing lightpath interference during upgrade of in-service WDM networks. Photonic Netw. Commun. Md. Nooruzzaman, Osanori Koyama, Makoto Yamada, Yutaka Katsuyama
2013	—	`conf`	Theoretical study of crosstalk characteristics for multi-core optical fiber amplifiers. OFC/NFOEC Makoto Yamada, Hirotaka Ono, Norihiko Sakai, Katsuhiro Takenaga, Shoichiro Matsuo
2012	J	`jnl`	C- and L-Band Parallel Configuration Optical Fiber Amplifier Employing Bundled Er IEICE Trans. Commun. Makoto Yamada, Masaharu Uno, Hirotaka Ono
2012	J	`jnl`	Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation CoRR Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama
2012	—	`conf`	Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation. SSPR/SPR Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama
2012	J	`jnl`	Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information CoRR Makoto Yamada, Leonid Sigal, Michalis Raptis, Masashi Sugiyama
2012	J	`jnl`	Heating and Burning of Optical Fibers and Cables by Light Scattered from Bubble Train Formed by Optical Fiber Fuse. IEICE Trans. Commun. Makoto Yamada, Akisumi Tomoe, Takahiro Kinoshita, Osanori Koyama, Yutaka Katsuyama, Takashi Shibuya
2012	J	`jnl`	High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso CoRR Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal, Masashi Sugiyama
2012	J	`jnl`	Information-theoretic Semi-supervised Metric Learning via Entropy Regularization CoRR Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama
2012	A*	`conf`	Information-theoretic Semi-supervised Metric Learning via Entropy Regularization. ICML Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama
2012	—	`conf`	No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation. ECCV (4) Makoto Yamada, Leonid Sigal, Michalis Raptis
2012	J	`jnl`	On Kernel Parameter Selection in Hilbert-Schmidt Independence Criterion. IEICE Trans. Inf. Syst. Masashi Sugiyama, Makoto Yamada
2012	J	`jnl`	Optical Fan-Out Adapter for Compact Packaging of Components by a Jacket Removing System with a CO IEICE Trans. Commun. Osanori Koyama, Ryou Sougen, Keisuke Ikushima, Makoto Yamada, Yutaka Katsuyama
2011	Misc	`conf`	Automatic audio tag classification via semi-supervised canonical density estimation. ICASSP Jun Takagi, Yasunori Ohishi, Akisato Kimura, Masashi Sugiyama, Makoto Yamada, Hirokazu Kameoka
2011	J	`jnl`	Bidirectional Amplification Module for IP-over-CWDM Ring Network. IEICE Trans. Electron. Osanori Koyama, Makoto Yamada, Yoshiteru Okada, Keisuke Matsuyama, Yutaka Katsuyama
2011	A	`conf`	Cross-Domain Object Matching with Model Selection. AISTATS Makoto Yamada, Masashi Sugiyama
2011	A*	`conf`	Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis. AAAI Makoto Yamada, Masashi Sugiyama
2011	J	`jnl`	Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search. Neural Networks Masashi Sugiyama, Makoto Yamada, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe
2011	J	`jnl`	Improving the Accuracy of Least-Squares Probabilistic Classifiers. IEICE Trans. Inf. Syst. Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Jaak Simm
2011	A	`conf`	Large-Scale Subjective Evaluations of Speech Rate Control Methods for HMM-Based Speech Synthesizers. INTERSPEECH Tsuneo Kato, Makoto Yamada, Nobuyuki Nishizawa, Keiichiro Oura, Keiichi Tokuda
2011	C	`conf`	Monitored power pre-checking scheme for optical amplification management in lightpath reconfigurable IP-over-CWDM networks. APCC Raja Zahilah, Md. Nooruzzaman, Nguyen Thi Thanh Thuy, Osanori Koyama, Makoto Yamada, Yutaka Katsuyama
2011	A*	`conf`	On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution. ICML Masashi Sugiyama, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya
2011	—	`conf`	Relative Density-Ratio Estimation for Robust Distribution Comparison. NIPS Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama
2011	C	`conf`	Stackable ROADM with optical amplifier for use in IP-over-CWDM networks. APCC Md. Nooruzzaman, Nguyen Thi Thanh Thuy, Raja Zahilah, Osanori Koyama, Makoto Yamada, Yutaka Katsuyama
2011	C	`conf`	Suffcient Component Analysis. ACML Makoto Yamada, Gang Niu, Jun Takagi, Masashi Sugiyama
2010	Misc	`conf`	Acceleration of sequence kernel computation for real-time speaker identification. ICASSP Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Tomoko Matsui
2010	Misc	`conf`	Automatic audio tagging using covariate shift adaptation. ICASSP Gordon Wichern, Makoto Yamada, Harvey D. Thornburg, Masashi Sugiyama, Andreas Spanias
2010	A*	`conf`	Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise. AAAI Makoto Yamada, Masashi Sugiyama
2010	J	`jnl`	Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers. IEICE Trans. Inf. Syst. Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Jaak Simm
2010	Misc	`conf`	Direct importance estimation with probabilistic principal component analyzers. ICASSP Makoto Yamada, Masashi Sugiyama, Gordon Wichern
2010	J	`jnl`	Novel Fiber Jacket Removing System by a CO IEICE Trans. Commun. Keisuke Ikushima, Ryou Sougen, Osanori Koyama, Makoto Yamada, Yutaka Katsuyama
2010	J	`jnl`	Optimum Conditions for Fiber Jacket Removing by a CO2 Laser for Compact Packaging of Optical Components. IEICE Trans. Commun. Ryou Sougen, Keisuke Ikushima, Osanori Koyama, Makoto Yamada, Yutaka Katsuyama
2010	J	`jnl`	Semi-supervised speaker identification under covariate shift. Signal Process. Makoto Yamada, Masashi Sugiyama, Tomoko Matsui
2009	A	`conf`	A semi-blind source separation method with a less amount of computation suitable for tiny DSP modules. INTERSPEECH Kazunobu Kondo, Makoto Yamada, Hideki Kenmochi
2009	Misc	`conf`	Covariate shift adaptation for semi-supervised speaker identification. ICASSP Makoto Yamada, Masashi Sugiyama, Tomoko Matsui
2009	J	`jnl`	Direct Importance Estimation with Gaussian Mixture Models. IEICE Trans. Inf. Syst. Makoto Yamada, Masashi Sugiyama
2007	J	`jnl`	Tilted Tool Axis Machining on 5-Axis Machine Tools. Int. J. Autom. Technol. Makoto Yamada, Tsukasa Kondo, Fumiki Tanaka, Takeshi Kishinami
2006	—	`conf`	A DOA estimation method for 3D multiple source signals using independent component analysis. EUSIPCO Hao Yuan, Makoto Yamada, Hisashi Kawai
2006	—	`conf`	Kernel Wiener Filter with Distance Constraint. ICASSP (3) Makoto Yamada, Mahmood R. Azimi-Sadjadi
2006	J	`jnl`	Measurement of neuromagnetic fields accompanying movements by patient with acute stroke. Syst. Comput. Jpn. Kentaro Kotani, Shigeaki Esaka, Makoto Yamada, Jun Deguchi, Ken Horii, Mitsuo Tonoike, Taro Noguchi
2005	A	`conf`	Improvement of rejection performance of keyword spotting using anti-keywords derived from large vocabulary considering acoustical similarity to keywords. INTERSPEECH Makoto Yamada, Tsuneo Kato, Masaki Naito, Hisashi Kawai
2005	—	`conf`	Nonlinear Signal Estimation using KernelWiener Filter in Canonical Correlation Analysis Framework. CIMCA/IAWTIC Makoto Yamada, Mahmood R. Azimi-Sadjadi
2005	B	`conf`	Relation between kernel CCA and kernel FDA. IJCNN Makoto Yamada, Ali Pezeshki, Mahmood R. Azimi-Sadjadi
2002	—	`conf`	A Method for Functional Testing of Media Synchronization Protocols. ICOIN (2) Makoto Yamada, Takanori Mori, Atsushi Fukada, Akio Nakata, Teruo Higashino
2001	—	`conf`	Packet communications with slotted ALOHA in a mobile cellular system. VTC Fall Makoto Yamada, Yoshitaka Hara, Yukiyoshi Kamio, Sliinsuke Hara
2000	B	`conf`	Acquisition of direct-sequence spread-spectrum signal with parallel matched filters. PIMRC Makoto Yamada, Yukiyoshi Kamio, Yoshio Wada
1996	B	`conf`	An environment for supporting cooperative operation over multiple networks. NOMS Tatsuo Nohara, Hiroki Tanaka, Hiroshi Ishii, Osamu Miyagashi, Makoto Yamada
1996	A	`conf`	Development of a mechanotherapy unit for examining the possibility of an intelligent massage robot. IROS Masao Kume, Yoshitosi Morita, Yutaka Yamauchi, Hideaki Aoki, Makoto Yamada, Kazuyoshi Tsukamoto
1995	—	`conf`	Development of a transfer supporting equipment. IROS (3) Kazushige Kakutani, Tsunehito Iwaki, Daizo Takaoka, Makoto Yamada, Kazuyoshi Tsukamoto
1993	—	`ch.`	Identification of Lathe Alignment Errors by Measuring Machined Parts. Robotics, Mechatronics and Manufacturing Systems Fumiki Tanaka, Takeshi Kishinami, Makoto Yamada
1988	A*	`conf`	Cleaning robot control. ICRA Fumio Yasutomi, Makoto Yamada, Kazuyoshi Tsukamoto