| 2025 | ICLR | Fast unsupervised ground metric learning with tree-Wasserstein distance. | Kira Michaela Dsterwald, Samo Hromadka, Makoto Yamada |
| 2025 | ICLR | PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis. | Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa |
| 2025 | ICLR | Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport. | Siqi Zeng, Sixian Du, Makoto Yamada, Han Zhao |
| 2025 | NAACL | Data Poisoning for In-context Learning. | Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang |
| 2024 | AISTATS | Fast 1-Wasserstein distance approximations using greedy strategies. | Guillaume Houry, Han Bao, Han Zhao, Makoto Yamada |
| 2024 | EMNLP | Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. | Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang |
| 2024 | ICLR | Structural Fairness-aware Active Learning for Graph Neural Networks. | Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada |
| 2024 | WACV | Implicit neural representation for change detection. | Peter Naylor, Diego Di Carlo, Arianna Traviglia, Makoto Yamada, Marco Fiorucci |
| 2023 | AISTATS | Nystrm Method for Accurate and Scalable Implicit Differentiation. | Ryuichiro Hataya, Makoto Yamada |
| 2023 | EMNLP | Large-scale similarity search with Optimal Transport. | Cla Laouar, Yuki Takezawa, Makoto Yamada |
| 2023 | EMNLP | A linear time approximation of Wasserstein distance with word embedding selection. | Sho Otao, Makoto Yamada |
| 2023 | ICAART | Identifying Visitor's Paintings Appreciation for AI Audio Guide in Museums. | Mari Saito, Takato Okudo, Makoto Yamada, Seiji Yamada |
| 2023 | ICLR | Robust Graph Dictionary Learning. | Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, Hui Qian |
| 2023 | IJCNN | FsNet: Feature Selection Network on High-dimensional Biological Data. | Dinesh Singh, Hctor Climente-Gonzlez, Mathis Petrovich, Eiryo Kawakami, Makoto Yamada |
| 2023 | IGARSS | Optimal Transport for Change Detection on Lidar Point Clouds. | Marco Fiorucci, Peter Naylor, Makoto Yamada |
| 2022 | AISTATS | Feature screening with kernel knockoffs. | Benjamin Poignard, Peter J. Naylor, Hctor Climente-Gonzlez, Makoto Yamada |
| 2022 | AISTATS | Fixed Support Tree-Sliced Wasserstein Barycenter. | Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada |
| 2022 | CIKM | Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. | Ryoma Sato, Makoto Yamada, Hisashi Kashima |
| 2022 | ICML | Re-evaluating Word Mover's Distance. | Ryoma Sato, Makoto Yamada, Hisashi Kashima |
| 2022 | UAI | Feature selection for discovering distributional treatment effect modifiers. | Yoichi Chikahara, Makoto Yamada, Hisashi Kashima |
| 2021 | AISTATS | Flow-based Alignment Approaches for Probability Measures in Different Spaces. | Tam Le, Nhat Ho, Makoto Yamada |
| 2021 | EACL | Computationally Efficient Wasserstein Loss for Structured Labels. | Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada |
| 2021 | ICML | Post-selection inference with HSIC-Lasso. | Tobias Freidling, Benjamin Poignard, Hctor Climente-Gonzlez, Makoto Yamada |
| 2021 | ICML | Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. | Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne |
| 2021 | ICML | Supervised Tree-Wasserstein Distance. | Yuki Takezawa, Ryoma Sato, Makoto Yamada |
| 2021 | SDM | Random Features Strengthen Graph Neural Networks. | Ryoma Sato, Makoto Yamada, Hisashi Kashima |
| 2020 | AAAI | Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. | Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang |
| 2020 | AISTATS | More Powerful Selective Kernel Tests for Feature Selection. | Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira |
| 2020 | AISTATS | Sparse Hilbert-Schmidt Independence Criterion Regression. | Benjamin Poignard, Makoto Yamada |
| 2020 | CVPR | Semantic Correspondence as an Optimal Transport Problem. | Yanbin Liu, Linchao Zhu, Makoto Yamada, Yi Yang |
| 2020 | DSAA | Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. | Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima |
| 2020 | ECAI | Topological Bayesian Optimization with Persistence Diagrams. | Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada |
| 2019 | ACML | Learning to Sample Hard Instances for Graph Algorithms. | Ryoma Sato, Makoto Yamada, Hisashi Kashima |
| 2019 | EMNLP | Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel. | Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov |
| 2019 | ICLR | Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator. | Makoto Yamada, Denny Wu, Yao-Hung Hubert Tsai, Hirofumi Ohta, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu |
| 2019 | ISMAR | OSTNet: Calibration Method for Optical See-Through Head-Mounted Displays via Non-Parametric Distortion Map Generation. | Kiyosato Someya, Yuichi Hiroi, Makoto Yamada, Yuta Itoh |
| 2019 | RecSys | Context-Regularized Neural Collaborative Filtering for Game App Recommendation. | Shonosuke Harada, Kazuki Taniguchi, Makoto Yamada, Hisashi Kashima |
| 2019 | SMC | Effect of Cutting Maneuvers on Center of Foot Pressure Movement in University Tennis Players. | Naotaka Tomita, Kouki Nagamune, Makoto Yamada |
| 2018 | AISTATS | Post Selection Inference with Kernels. | Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi |
| 2018 | EMNLP | Learning Unsupervised Word Translations Without Adversaries. | Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales |
| 2018 | ICLR | Selecting the Best in GANs Family: a Post Selection Inference Framework. | Yao-Hung Hubert Tsai, Denny Wu, Makoto Yamada, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu |
| 2018 | SMC | A Wearable Measurement System for Sole Pressure to Calculate Center of Pressure in Sports Activity. | Kouki Nagamune, Makoto Yamada |
| 2017 | AISTATS | Localized Lasso for High-Dimensional Regression. | Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski |
| 2017 | KDD | Convex Factorization Machine for Toxicogenomics Prediction. | Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang |
| 2016 | ACL | Which Tumblr Post Should I Read Next? | Zornitsa Kozareva, Makoto Yamada |
| 2016 | IJCAI | Timeline Summarization from Social Media with Life Cycle Models. | Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu |
| 2016 | IJCAI | A Robust Convex Formulation for Ensemble Clustering. | Junning Gao, Makoto Yamada, Samuel Kaski, Hiroshi Mamitsuka, Shanfeng Zhu |
| 2016 | WSDM | Beyond Ranking: Optimizing Whole-Page Presentation. | Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei |
| 2015 | AISTATS | Consistent Collective Matrix Completion under Joint Low Rank Structure. | Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang |
| 2014 | ICDM | Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery. | Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu |
| 2013 | CIKM | Clustering-based anomaly detection in multi-view data. | Alejandro Marcos Alvarez, Makoto Yamada, Akisato Kimura, Tomoharu Iwata |
| 2013 | IJCAI | Change-Point Detection with Feature Selection in High-Dimensional Time-Series Data. | Makoto Yamada, Akisato Kimura, Futoshi Naya, Hiroshi Sawada |
| 2012 | ECCV | No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation. | Makoto Yamada, Leonid Sigal, Michalis Raptis |
| 2012 | ICML | Information-theoretic Semi-supervised Metric Learning via Entropy Regularization. | Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama |
| 2012 | SSPR | Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation. | Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama |
| 2011 | AAAI | Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis. | Makoto Yamada, Masashi Sugiyama |
| 2011 | APCC | Stackable ROADM with optical amplifier for use in IP-over-CWDM networks. | Md. Nooruzzaman, Nguyen Thi Thanh Thuy, Raja Zahilah, Osanori Koyama, Makoto Yamada, Yutaka Katsuyama |
| 2011 | APCC | Monitored power pre-checking scheme for optical amplification management in lightpath reconfigurable IP-over-CWDM networks. | Raja Zahilah, Md. Nooruzzaman, Nguyen Thi Thanh Thuy, Osanori Koyama, Makoto Yamada, Yutaka Katsuyama |
| 2011 | ICASSP | Automatic audio tag classification via semi-supervised canonical density estimation. | Jun Takagi, Yasunori Ohishi, Akisato Kimura, Masashi Sugiyama, Makoto Yamada, Hirokazu Kameoka |
| 2011 | ICML | On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution. | Masashi Sugiyama, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya |
| 2011 | Interspeech | Large-Scale Subjective Evaluations of Speech Rate Control Methods for HMM-Based Speech Synthesizers. | Tsuneo Kato, Makoto Yamada, Nobuyuki Nishizawa, Keiichiro Oura, Keiichi Tokuda |
| 2010 | AAAI | Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise. | Makoto Yamada, Masashi Sugiyama |
| 2010 | ICASSP | Automatic audio tagging using covariate shift adaptation. | Gordon Wichern, Makoto Yamada, Harvey D. Thornburg, Masashi Sugiyama, Andreas Spanias |
| 2010 | ICASSP | Direct importance estimation with probabilistic principal component analyzers. | Makoto Yamada, Masashi Sugiyama, Gordon Wichern |
| 2010 | ICASSP | Acceleration of sequence kernel computation for real-time speaker identification. | Makoto Yamada, Masashi Sugiyama, Gordon Wichern, Tomoko Matsui |
| 2009 | ICASSP | Covariate shift adaptation for semi-supervised speaker identification. | Makoto Yamada, Masashi Sugiyama, Tomoko Matsui |
| 2009 | Interspeech | A semi-blind source separation method with a less amount of computation suitable for tiny DSP modules. | Kazunobu Kondo, Makoto Yamada, Hideki Kenmochi |
| 2006 | ICASSP | Kernel Wiener Filter with Distance Constraint. | Makoto Yamada, Mahmood R. Azimi-Sadjadi |
| 2005 | IJCNN | Relation between kernel CCA and kernel FDA. | Makoto Yamada, Ali Pezeshki, Mahmood R. Azimi-Sadjadi |
| 2005 | Interspeech | Improvement of rejection performance of keyword spotting using anti-keywords derived from large vocabulary considering acoustical similarity to keywords. | Makoto Yamada, Tsuneo Kato, Masaki Naito, Hisashi Kawai |
| 2001 | VTC | Packet communications with slotted ALOHA in a mobile cellular system. | Makoto Yamada, Yoshitaka Hara, Yukiyoshi Kamio, Sliinsuke Hara |
| 2000 | PIMRC | Acquisition of direct-sequence spread-spectrum signal with parallel matched filters. | Makoto Yamada, Yukiyoshi Kamio, Yoshio Wada |
| 1996 | IROS | Development of a mechanotherapy unit for examining the possibility of an intelligent massage robot. | Masao Kume, Yoshitosi Morita, Yutaka Yamauchi, Hideaki Aoki, Makoto Yamada, Kazuyoshi Tsukamoto |
| 1996 | NOMS | An environment for supporting cooperative operation over multiple networks. | Tatsuo Nohara, Hiroki Tanaka, Hiroshi Ishii, Osamu Miyagashi, Makoto Yamada |
| 1995 | IROS | Development of a transfer supporting equipment. | Kazushige Kakutani, Tsunehito Iwaki, Daizo Takaoka, Makoto Yamada, Kazuyoshi Tsukamoto |
| 1988 | ICRA | Cleaning robot control. | Fumio Yasutomi, Makoto Yamada, Kazuyoshi Tsukamoto |