Makoto Yamada

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 136

Top Venues

Publications

Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis. CoRR (2024)
Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. CoRR (2024)
Yanbin Liu, Linchao Zhu, Xiaohan Wang, Makoto Yamada, Yi Yang
Bilaterally Normalized Scale-Consistent Sinkhorn Distance for Few-Shot Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Peter Naylor, Diego Di Carlo, Arianna Traviglia, Makoto Yamada, Marco Fiorucci
Implicit neural representation for change detection. WACV (2024)
Yuki Takezawa, Han Bao, Ryoma Sato, Kenta Niwa, Makoto Yamada
Polyak Meets Parameter-free Clipped Gradient Descent. CoRR (2024)
Guillaume Houry, Han Bao, Han Zhao, Makoto Yamada
Fast 1-Wasserstein distance approximations using greedy strategies. AISTATS (2024)
Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada
Structural Fairness-aware Active Learning for Graph Neural Networks. ICLR (2024)
Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang
Data Poisoning for In-context Learning. CoRR (2024)
Makoto Yamada, Yuki Takezawa, Guillaume Houry, Kira Michaela Dusterwald, Déborah Sulem, Han Zhao, Yao-Hung Hubert Tsai
An Empirical Study of Simplicial Representation Learning with Wasserstein Distance. CoRR (2023)
Ryoma Sato, Yuki Takezawa, Han Bao, Kenta Niwa, Makoto Yamada
Embarrassingly Simple Text Watermarks. CoRR (2023)
Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
Necessary and Sufficient Watermark for Large Language Models. CoRR (2023)
Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence. NeurIPS (2023)
Ryuta Yamaguchi, Kanami Ikeda, Osanori Koyama, Makoto Yamada
Features and Properties of Single-Pixel Imaging Using Speckle Patterns Generated by Multi-Core Fiber. IEEE Access 11 (2023)
Marco Fiorucci, Peter Naylor, Makoto Yamada
Optimal Transport for Change Detection on Lidar Point Clouds. IGARSS (2023)
Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Yi Chang
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Peter Naylor, Diego Di Carlo, Arianna Traviglia, Makoto Yamada, Marco Fiorucci
Implicit neural representation for change detection. CoRR (2023)
Dinesh Singh, Héctor Climente-González, Mathis Petrovich, Eiryo Kawakami, Makoto Yamada
FsNet: Feature Selection Network on High-dimensional Biological Data. IJCNN (2023)
Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, Hui Qian
Robust Graph Dictionary Learning. ICLR (2023)
Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada
Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data. Trans. Mach. Learn. Res. 2023 (2023)
Yuki Takezawa, Kenta Niwa, Makoto Yamada
Communication Compression for Decentralized Learning With Operator Splitting Methods. IEEE Trans. Signal Inf. Process. over Networks 9 (2023)
Pengfei He, Han Xu, Yue Xing, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou
Confidence-driven Sampling for Backdoor Attacks. CoRR (2023)
Sho Otao, Makoto Yamada
A linear time approximation of Wasserstein distance with word embedding selection. EMNLP (2023)
Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence. CoRR (2023)
Ryuichiro Hataya, Makoto Yamada
Nyström Method for Accurate and Scalable Implicit Differentiation. AISTATS (2023)
Ayato Toyokuni, Makoto Yamada
Structural Explanations for Graph Neural Networks using HSIC. CoRR (2023)
Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Frank M. Sanfilippo, Makoto Yamada, Mohammed Bennamoun
Inflating 2D convolution weights for efficient generation of 3D medical images. Comput. Methods Programs Biomed. 240 (2023)
Cléa Laouar, Yuki Takezawa, Makoto Yamada
Large-scale similarity search with Optimal Transport. EMNLP (2023)
Ryuichiro Hataya, Makoto Yamada
Nystrom Method for Accurate and Scalable Implicit Differentiation. CoRR (2023)
Marco Fiorucci, Peter Naylor, Makoto Yamada
Optimal Transport for Change Detection on LiDAR Point Clouds. CoRR (2023)
Mari Saito, Takato Okudo, Makoto Yamada, Seiji Yamada
Identifying Visitor's Paintings Appreciation for AI Audio Guide in Museums. ICAART (2) (2023)
Yuki Takezawa, Kenta Niwa, Makoto Yamada
Theoretical Analysis of Primal-Dual Algorithm for Non-Convex Stochastic Decentralized Optimization. CoRR (2022)
Yoichi Chikahara, Makoto Yamada, Hisashi Kashima
Feature selection for discovering distributional treatment effect modifiers. UAI (2022)
Makoto Yamada, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi
Approximating 1-Wasserstein Distance with Trees. CoRR (2022)
Benjamin Poignard, Peter J. Naylor, Héctor Climente-González, Makoto Yamada
Feature screening with kernel knockoffs. AISTATS (2022)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. CIKM (2022)
Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada
Fixed Support Tree-Sliced Wasserstein Barycenter. AISTATS (2022)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Poincare: Recommending Publication Venues via Treatment Effect Estimation. J. Informetrics 16 (2) (2022)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. CoRR (2022)
Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Frank M. Sanfilippo, Makoto Yamada, Mohammed Bennamoun
Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images. CoRR (2022)
Yoichi Chikahara, Makoto Yamada, Hisashi Kashima
Feature Selection for Discovering Distributional Treatment Effect Modifiers. CoRR (2022)
Mathis Petrovich, Chao Liang, Ryoma Sato, Yanbin Liu, Yao-Hung Hubert Tsai, Linchao Zhu, Yi Yang, Ruslan Salakhutdinov, Makoto Yamada
Feature-Robust Optimal Transport for High-Dimensional Data. ECML/PKDD (5) (2022)
Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada
Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data. CoRR (2022)
Yuki Takezawa, Kenta Niwa, Makoto Yamada
Communication Compression for Decentralized Learning with Operator Splitting Methods. CoRR (2022)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Constant Time Graph Neural Networks. ACM Trans. Knowl. Discov. Data 16 (5) (2022)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Re-evaluating Word Mover's Distance. ICML (2022)
Peter Naylor, Yao-Hung Hubert Tsai, Marick Laé, Makoto Yamada
Scale dependant layer for self-supervised nuclei encoding. CoRR (2022)
Makoto Yamada, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi
Approximating 1-Wasserstein Distance with Trees. Trans. Mach. Learn. Res. 2022 (2022)
Makoto Yamada, Tsunenori Mine
Modality estimation methods in internal training reflection texts using BERT. IIAI-AAI (2022)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Random Features Strengthen Graph Neural Networks. SDM (2021)
Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada
Fixed Support Tree-Sliced Wasserstein Barycenter. CoRR (2021)
Tam Le, Truyen Nguyen, Makoto Yamada, Jose H. Blanchet, Viet Anh Nguyen
Adversarial Regression with Doubly Non-negative Weighting Matrices. CoRR (2021)
Hiroaki Yamada, Makoto Yamada
Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares. NeurIPS (2021)
Tam Le, Nhat Ho, Makoto Yamada
Flow-based Alignment Approaches for Probability Measures in Different Spaces. AISTATS (2021)
Hiroaki Yamada, Makoto Yamada
Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares. CoRR (2021)
Tobias Freidling, Benjamin Poignard, Héctor Climente-González, Makoto Yamada
Post-selection inference with HSIC-Lasso. ICML (2021)
Yuki Takezawa, Ryoma Sato, Makoto Yamada
Supervised Tree-Wasserstein Distance. CoRR (2021)
Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang
LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport. ECML/PKDD (1) (2021)
Tam Le, Truyen Nguyen, Makoto Yamada, Jose H. Blanchet, Viet Anh Nguyen
Adversarial Regression with Doubly Non-negative Weighting Matrices. NeurIPS (2021)
Yuki Takezawa, Ryoma Sato, Makoto Yamada
Supervised Tree-Wasserstein Distance. ICML (2021)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Re-evaluating Word Mover's Distance. CoRR (2021)
Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. ICML (2021)
Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada
Computationally Efficient Wasserstein Loss for Structured Labels. CoRR (2021)
Hardik Tankaria, Dinesh Singh, Makoto Yamada
Nys-Curve: Nyström-Approximated Curvature for Stochastic Optimization. CoRR (2021)
Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada
Computationally Efficient Wasserstein Loss for Structured Labels. EACL (Student Research Workshop) (2021)
Ryoma Sato, Marco Cuturi, Makoto Yamada, Hisashi Kashima
Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces. CoRR (2020)
Mathis Petrovich, Chao Liang, Yanbin Liu, Yao-Hung Hubert Tsai, Linchao Zhu, Yi Yang, Ruslan Salakhutdinov, Makoto Yamada
Feature Robust Optimal Transport for High-dimensional Data. CoRR (2020)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Random Features Strengthen Graph Neural Networks. CoRR (2020)
Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
More Powerful Selective Kernel Tests for Feature Selection. AISTATS (2020)
Yao-Hung Hubert Tsai, Han Zhao, Makoto Yamada, Louis-Philippe Morency, Russ R. Salakhutdinov
Neural Methods for Point-wise Dependency Estimation. NeurIPS (2020)
Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. CoRR (2020)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Poincare: Recommending Publication Venues via Treatment Effect Estimation. CoRR (2020)
Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada
Topological Bayesian Optimization with Persistence Diagrams. ECAI (2020)
Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. AAAI (2020)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Fast Unbalanced Optimal Transport on Tree. CoRR (2020)
Dinesh Singh, Makoto Yamada
FsNet: Feature Selection Network on High-dimensional Biological Data. CoRR (2020)
Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Dawei Yin, Yi Chang
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. CoRR (2020)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Fast Unbalanced Optimal Transport on a Tree. NeurIPS (2020)
Benjamin Poignard, Makoto Yamada
Sparse Hilbert-Schmidt Independence Criterion Regression. AISTATS (2020)
Mathis Petrovich, Makoto Yamada
Fast local linear regression with anchor regularization. CoRR (2020)
Yanbin Liu, Linchao Zhu, Makoto Yamada, Yi Yang
Semantic Correspondence as an Optimal Transport Problem. CVPR (2020)
Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima
Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. DSAA (2020)
Ziyin Liu, Zihao Wang, Makoto Yamada, Masahito Ueda
Volumization as a Natural Generalization of Weight Decay. CoRR (2020)
Kishan Wimalawarne, Makoto Yamada, Hiroshi Mamitsuka
Scaled Coupled Norms and Coupled Higher-Order Tensor Completion. Neural Comput. 32 (2) (2020)
Yao-Hung Hubert Tsai, Han Zhao, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov
Neural Methods for Point-wise Dependency Estimation. CoRR (2020)
Heewon Park, Makoto Yamada, Seiya Imoto, Satoru Miyano
Robust Sample-Specific Stability Selection with Effective Error Control. J. Comput. Biol. 26 (3) (2019)
Kiyosato Someya, Yuichi Hiroi, Makoto Yamada, Yuta Itoh
OSTNet: Calibration Method for Optical See-Through Head-Mounted Displays via Non-Parametric Distortion Map Generation. ISMAR Adjunct (2019)
Naotaka Tomita, Kouki Nagamune, Makoto Yamada
Effect of Cutting Maneuvers on Center of Foot Pressure Movement in University Tennis Players. SMC (2019)
Yohei Kameyama, Kanami Ikeda, Osanori Koyama, Makoto Yamada
Single-pixel Imaging using a Multi-core Fiber. OECC/PSC (2019)
Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi
Tree-Sliced Variants of Wasserstein Distances. NeurIPS (2019)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Approximation Ratios of Graph Neural Networks for Combinatorial Problems. CoRR (2019)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Approximation Ratios of Graph Neural Networks for Combinatorial Problems. NeurIPS (2019)
Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi
Tree-Sliced Approximation of Wasserstein Distances. CoRR (2019)
Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum
Kernel Stein Tests for Multiple Model Comparison. CoRR (2019)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Constant Time Graph Neural Networks. CoRR (2019)
Keigo Minou, Seiya Aso, Osanori Koyama, Minoru Yamaguchi, Yudai Tomioka, Yuki Ogura, Kanami Ikeda, Makoto Yamada
OpenFlow-based Remote Control of Optical Switch Employing IoT Device in AWG-STAR with Loop-back Function. OECC/PSC (2019)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Learning to Sample Hard Instances for Graph Algorithms. ACML (2019)
Makoto Yamada, Denny Wu, Yao-Hung Hubert Tsai, Hirofumi Ohta, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator. ICLR (Poster) (2019)
Makoto Yamada, Tomoya Sato, Hiroyuki Chishiro, Shinpei Kato
Vision-based Localization using a Monocular Camera in the Rain. ITSC (2019)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Learning to Find Hard Instances of Graph Problems. CoRR (2019)
Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov
Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Makoto Yamada