Cleaning robot control. - Fumio Yasutomi; Makoto Yamada; Kazuyoshi Tsukamoto (ICRA, 1988)

Identification of Lathe Alignment Errors by Measuring Machined Parts. - Fumiki Tanaka; Takeshi Kishinami; Makoto Yamada (Robotics, Mechatronics and Manufacturing Systems, 1993)

Development of a transfer supporting equipment. - Kazushige Kakutani; Tsunehito Iwaki; Daizo Takaoka; Makoto Yamada; Kazuyoshi Tsukamoto (IROS (3), 1995)

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 (IROS, 1996)

An environment for supporting cooperative operation over multiple networks. - Tatsuo Nohara; Hiroki Tanaka; Hiroshi Ishii 002; Osamu Miyagashi; Makoto Yamada (NOMS, 1996)

Acquisition of direct-sequence spread-spectrum signal with parallel matched filters. - Makoto Yamada; Yukiyoshi Kamio; Yoshio Wada (PIMRC, 2000)

Packet communications with slotted ALOHA in a mobile cellular system. - Makoto Yamada; Yoshitaka Hara; Yukiyoshi Kamio; Sliinsuke Hara (VTC Fall, 2001)

A Method for Functional Testing of Media Synchronization Protocols. - Makoto Yamada; Takanori Mori; Atsushi Fukada; Akio Nakata; Teruo Higashino (ICOIN (2), 2002)

Nonlinear Signal Estimation using KernelWiener Filter in Canonical Correlation Analysis Framework. - Makoto Yamada; Mahmood R. Azimi-Sadjadi (CIMCA/IAWTIC, 2005)

Relation between kernel CCA and kernel FDA. - Makoto Yamada; Ali Pezeshki; Mahmood R. Azimi-Sadjadi (IJCNN, 2005)

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 (INTERSPEECH, 2005)

A DOA estimation method for 3D multiple source signals using independent component analysis. - Hao Yuan; Makoto Yamada; Hisashi Kawai (EUSIPCO, 2006)

Kernel Wiener Filter with Distance Constraint. - Makoto Yamada; Mahmood R. Azimi-Sadjadi (ICASSP (3), 2006)

Measurement of neuromagnetic fields accompanying movements by patient with acute stroke. - Kentaro Kotani; Shigeaki Esaka; Makoto Yamada; Jun Deguchi; Ken Horii; Mitsuo Tonoike; Taro Noguchi (Syst. Comput. Jpn., 2006)

Tilted Tool Axis Machining on 5-Axis Machine Tools. - Makoto Yamada; Tsukasa Kondo; Fumiki Tanaka; Takeshi Kishinami (Int. J. Autom. Technol., 2007)

Covariate shift adaptation for semi-supervised speaker identification. - Makoto Yamada; Masashi Sugiyama; Tomoko Matsui (ICASSP, 2009)

A semi-blind source separation method with a less amount of computation suitable for tiny DSP modules. - Kazunobu Kondo; Makoto Yamada; Hideki Kenmochi (INTERSPEECH, 2009)

Direct Importance Estimation with Gaussian Mixture Models. - Makoto Yamada; Masashi Sugiyama (IEICE Trans. Inf. Syst., 2009)

Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise. - Makoto Yamada; Masashi Sugiyama (AAAI, 2010)

Automatic audio tagging using covariate shift adaptation. - Gordon Wichern; Makoto Yamada; Harvey D. Thornburg; Masashi Sugiyama; Andreas Spanias (ICASSP, 2010)

Direct importance estimation with probabilistic principal component analyzers. - Makoto Yamada; Masashi Sugiyama; Gordon Wichern (ICASSP, 2010)

Acceleration of sequence kernel computation for real-time speaker identification. - Makoto Yamada; Masashi Sugiyama; Gordon Wichern; Tomoko Matsui (ICASSP, 2010)

Novel Fiber Jacket Removing System by a CO2 Laser for Compact Packaging of Optical Components. - Keisuke Ikushima; Ryou Sougen; Osanori Koyama; Makoto Yamada; Yutaka Katsuyama (IEICE Trans. Commun., 2010)

Optimum Conditions for Fiber Jacket Removing by a CO2 Laser for Compact Packaging of Optical Components. - Ryou Sougen; Keisuke Ikushima; Osanori Koyama; Makoto Yamada; Yutaka Katsuyama (IEICE Trans. Commun., 2010)

Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers. - Makoto Yamada; Masashi Sugiyama; Gordon Wichern; Jaak Simm (IEICE Trans. Inf. Syst., 2010)

Semi-supervised speaker identification under covariate shift. - Makoto Yamada; Masashi Sugiyama; Tomoko Matsui (Signal Process., 2010)

Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis. - Makoto Yamada; Masashi Sugiyama (AAAI, 2011)

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 (APCC, 2011)

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 (APCC, 2011)

Automatic audio tag classification via semi-supervised canonical density estimation. - Jun Takagi; Yasunori Ohishi; Akisato Kimura; Masashi Sugiyama; Makoto Yamada; Hirokazu Kameoka (ICASSP, 2011)

On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution. - Masashi Sugiyama; Makoto Yamada; Manabu Kimura; Hirotaka Hachiya (ICML, 2011)

Large-Scale Subjective Evaluations of Speech Rate Control Methods for HMM-Based Speech Synthesizers. - Tsuneo Kato; Makoto Yamada; Nobuyuki Nishizawa; Keiichiro Oura; Keiichi Tokuda (INTERSPEECH, 2011)

Bidirectional Amplification Module for IP-over-CWDM Ring Network. - Osanori Koyama; Makoto Yamada; Yoshiteru Okada; Keisuke Matsuyama; Yutaka Katsuyama (IEICE Trans. Electron., 2011)

Improving the Accuracy of Least-Squares Probabilistic Classifiers. - Makoto Yamada; Masashi Sugiyama; Gordon Wichern; Jaak Simm (IEICE Trans. Inf. Syst., 2011)

Suffcient Component Analysis. - Makoto Yamada; Gang Niu 001; Jun Takagi; Masashi Sugiyama (ACML, 2011)

Cross-Domain Object Matching with Model Selection. - Makoto Yamada; Masashi Sugiyama (AISTATS, 2011)

Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search. - Masashi Sugiyama; Makoto Yamada; Paul von Bünau; Taiji Suzuki; Takafumi Kanamori; Motoaki Kawanabe (Neural Networks, 2011)

No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation. - Makoto Yamada; Leonid Sigal; Michalis Raptis (ECCV (4), 2012)

High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso - Makoto Yamada; Wittawat Jitkrittum; Leonid Sigal; Masashi Sugiyama (CoRR, 2012)

Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information - Makoto Yamada; Leonid Sigal; Michalis Raptis; Masashi Sugiyama (CoRR, 2012)

Optical Fan-Out Adapter for Compact Packaging of Components by a Jacket Removing System with a CO2 Laser. - Osanori Koyama; Ryou Sougen; Keisuke Ikushima; Makoto Yamada; Yutaka Katsuyama (IEICE Trans. Commun., 2012)

On Kernel Parameter Selection in Hilbert-Schmidt Independence Criterion. - Masashi Sugiyama; Makoto Yamada (IEICE Trans. Inf. Syst., 2012)

Heating and Burning of Optical Fibers and Cables by Light Scattered from Bubble Train Formed by Optical Fiber Fuse. - Makoto Yamada; Akisumi Tomoe; Takahiro Kinoshita; Osanori Koyama; Yutaka Katsuyama; Takashi Shibuya 002 (IEICE Trans. Commun., 2012)

C- and L-Band Parallel Configuration Optical Fiber Amplifier Employing Bundled Er3+-Doped Fiber. - Makoto Yamada; Masaharu Uno; Hirotaka Ono 002 (IEICE Trans. Commun., 2012)

Clustering-based anomaly detection in multi-view data. - Alejandro Marcos Alvarez; Makoto Yamada; Akisato Kimura; Tomoharu Iwata (CIKM, 2013)

Change-Point Detection with Feature Selection in High-Dimensional Time-Series Data. - Makoto Yamada; Akisato Kimura; Futoshi Naya; Hiroshi Sawada (IJCAI, 2013)

Exploiting socially-generated side information in dimensionality reduction. - Alejandro Marcos Alvarez; Makoto Yamada; Akisato Kimura (SAM@ACM Multimedia, 2013)

Image context discovery from socially curated contents. - Akisato Kimura; Katsuhiko Ishiguro; Makoto Yamada; Alejandro Marcos Alvarez; Kaori Kataoka; Kazuhiko Murasaki (ACM Multimedia, 2013)

Theoretical study of crosstalk characteristics for multi-core optical fiber amplifiers. - Makoto Yamada; Hirotaka Ono 002; Norihiko Sakai; Katsuhiro Takenaga; Shoichiro Matsuo (OFC/NFOEC, 2013)

Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis. - Makoto Yamada; Gordon Wichern; Kazunobu Kondo; Masashi Sugiyama; Hiroshi Sawada (Digit. Signal Process., 2013)

High temperature detection inside large-scale plants using distributed sensor fabricated by 10 LPG resonant wavelengths multiplexing. - Osanori Koyama; Hikaru Sumiana; Yoshikazu Toyooka; Makoto Yamada (IEICE Electron. Express, 2013)

Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning. - Masashi Sugiyama; Song Liu 002; Marthinus Christoffel du Plessis; Masao Yamanaka; Makoto Yamada; Taiji Suzuki; Takafumi Kanamori (J. Comput. Sci. Eng., 2013)

Scalable Single-Fiber CWDM Ring Networks With Stackable ROADMs. - Md. Nooruzzaman; Osanori Koyama; Makoto Yamada; Yutaka Katsuyama (JOCN, 2013)

Relative Density-Ratio Estimation for Robust Distribution Comparison. - Makoto Yamada; Taiji Suzuki; Takafumi Kanamori; Hirotaka Hachiya; Masashi Sugiyama (Neural Comput., 2013)

Change-point detection in time-series data by relative density-ratio estimation. - Song Liu 002; Makoto Yamada; Nigel Collier; Masashi Sugiyama (Neural Networks, 2013)

Stackable ROADMs for minimizing lightpath interference during upgrade of in-service WDM networks. - Md. Nooruzzaman; Osanori Koyama; Makoto Yamada; Yutaka Katsuyama (Photonic Netw. Commun., 2013)

120.7-Tb/s (7 SDM/180 WDM/95.8 Gb/s) MCF-ROPA un epeatered transmission of PDM-32QAM channels over 204 km. - Hidehiko Takara; Takayuki Mizuno; H. Kawakami; Yutaka Miyamoto; Hiroji Masuda; K. Kitamura; Hirotaka Ono 002; S. Asakawa; Yoshimichi Amma; Keisuke Hirakawa; S. Matsuo; K. Tsujikawa; et al. (ECOC, 2014)

Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery. - Yi Chang 001; Makoto Yamada; Antonio Ortega; Yan Liu 002 (ICDM, 2014)

1.7 µm band optical fiber amplifier. - Makoto Yamada; Hirotaka Ono 002; K. Ohta; Shinichi Aozasa; T. Tanaka; K. Senda; Y. Maeda; Osanori Koyama; Jun Ono (OFC, 2014)

High-resolution measurement of magnetic field generated from cryptographic LSIs. - Nguyen Ngoc Mai Khanh; Tetsuya Iizuka; Akihiko Sasaki; Makoto Yamada; Osamu Morita; Kunihiro Asada (SAS, 2014)

Multi-view Anomaly Detection via Probabilistic Latent Variable Models. - Tomoharu Iwata; Makoto Yamada (CoRR, 2014)

N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data. - Makoto Yamada; Avishek Saha; Hua Ouyang; Dawei Yin; Yi Chang 001 (CoRR, 2014)

Domain Adaptation for Structured Regression. - Makoto Yamada; Leonid Sigal; Yi Chang 001 (Int. J. Comput. Vis., 2014)

Least-squares independence regression for non-linear causal inference under non-Gaussian noise. - Makoto Yamada; Masashi Sugiyama; Jun Sese (Mach. Learn., 2014)

Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization. - Gang Niu 001; Bo Dai 001; Makoto Yamada; Masashi Sugiyama (Neural Comput., 2014)

Information-Maximization Clustering Based on Squared-Loss Mutual Information. - Masashi Sugiyama; Gang Niu 001; Makoto Yamada; Manabu Kimura; Hirotaka Hachiya (Neural Comput., 2014)

High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso. - Makoto Yamada; Wittawat Jitkrittum; Leonid Sigal; Eric P. Xing; Masashi Sugiyama (Neural Comput., 2014)

Covariate Shift Adaptation for Discriminative 3D Pose Estimation. - Makoto Yamada; Leonid Sigal; Michalis Raptis (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Design and performance evaluation of amplifier modules in stackable ROADMs for low-cost CWDM access networks. - Md. Nooruzzaman; Halima Elbiaze; Raja Zahilah; Osanori Koyama; Makoto Yamada (Photonic Netw. Commun., 2014)

Consistent Collective Matrix Completion under Joint Low Rank Structure. - Suriya Gunasekar; Makoto Yamada; Dawei Yin; Yi Chang 001 (AISTATS, 2015)

Convex Factorization Machine for Regression. - Makoto Yamada; Amit Goyal 001; Yi Chang 001 (CoRR, 2015)

Cross-Domain Matching with Squared-Loss Mutual Information. - Makoto Yamada; Leonid Sigal; Michalis Raptis; Machiko Toyoda; Yi Chang 001; Masashi Sugiyama (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

A Near-Field Magnetic Sensing System With High-Spatial Resolution and Application for Security of Cryptographic LSIs. - Nguyen Ngoc Mai Khanh; Tetsuya Iizuka; Akihiko Sasaki; Makoto Yamada; Osamu Morita; Kunihiro Asada (IEEE Trans. Instrum. Meas., 2015)

Which Tumblr Post Should I Read Next? - Zornitsa Kozareva; Makoto Yamada (ACL (2), 2016)

Timeline Summarization from Social Media with Life Cycle Models. - Yi Chang 001; Jiliang Tang; Dawei Yin; Makoto Yamada; Yan Liu 002 (IJCAI, 2016)

A Robust Convex Formulation for Ensemble Clustering. - Junning Gao; Makoto Yamada; Samuel Kaski; Hiroshi Mamitsuka; Shanfeng Zhu (IJCAI, 2016)

Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models. - Tomoharu Iwata; Makoto Yamada (NIPS, 2016)

32-core Dense SDM unidirectional transmission of PDM-16QAM signals over 1600 km using crosstalk-managed single-mode heterogeneous multicore transmission line. - Takayuki Mizuno; Kohki Shibahara; Hirotaka Ono 002; Y. Abe; Yutaka Miyamoto; Feihong Ye; Toshio Morioka; Yusuke Sasaki; Yoshimichi Amma; Katsuhiro Takenaga; S. Matsuo; Kazuhiko Aikawa; et al. (OFC, 2016)

Space-time coding-assisted transmission for mitigation of MDL impact on mode-division multiplexed signals. - Kohki Shibahara; Takayuki Mizuno; Hidehiko Takara; H. Kawakami; D. Lee; Yutaka Miyamoto; S. Matsuo; Kunimasa Saitoh; Makoto Yamada (OFC, 2016)

Beyond Ranking: Optimizing Whole-Page Presentation. - Yue Wang 035; Dawei Yin; Luo Jie; Pengyuan Wang 001; Makoto Yamada; Yi Chang 001; Qiaozhu Mei (WSDM, 2016)

Sparse Network Lasso for Local High-dimensional Regression. - Makoto Yamada; Koh Takeuchi 001; Tomoharu Iwata; John Shawe-Taylor; Samuel Kaski (CoRR, 2016)

High Efficiency Machining for Integral Shaping from Simplicity Materials Using Five-Axis Machine Tools. - Makoto Yamada; Tsukasa Kondo; Kai Wakasa (Int. J. Autom. Technol., 2016)

Lifecycle Modeling for Buzz Temporal Pattern Discovery. - Yi Chang 001; Makoto Yamada; Antonio Ortega; Yan Liu 002 (ACM Trans. Knowl. Discov. Data, 2016)

Localized Lasso for High-Dimensional Regression. - Makoto Yamada; Koh Takeuchi 001; Tomoharu Iwata; John Shawe-Taylor; Samuel Kaski (AISTATS, 2017)

Convex Factorization Machine for Toxicogenomics Prediction. - Makoto Yamada; Wenzhao Lian; Amit Goyal 001; Jianhui Chen; Kishan Wimalawarne; Suleiman A. Khan; Samuel Kaski; Hiroshi Mamitsuka; Yi Chang 001 (KDD, 2017)

Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation. - Makoto Yamada; Song Liu 002; Samuel Kaski (CoRR, 2017)

Deep Matching Autoencoders. - Tanmoy Mukherjee; Makoto Yamada; Timothy M. Hospedales (CoRR, 2017)

Post Selection Inference with Kernels. - Makoto Yamada; Yuta Umezu; Kenji Fukumizu; Ichiro Takeuchi (AISTATS, 2018)

Learning Unsupervised Word Translations Without Adversaries. - Tanmoy Mukherjee; Makoto Yamada; Timothy M. Hospedales (EMNLP, 2018)

Intra-/inter-user adaptation framework for wearable gesture sensing device. - Kosuke Kikui; Yuta Itoh 001; Makoto Yamada; Yuta Sugiura; Maki Sugimoto (UbiComp, 2018)

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 (ICLR (Workshop), 2018)

Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams. - Tam Le; Makoto Yamada (NeurIPS, 2018)

A Wearable Measurement System for Sole Pressure to Calculate Center of Pressure in Sports Activity. - Kouki Nagamune; Makoto Yamada (SMC, 2018)

A Development of Measurement System for Foot Pressure by Using Optical Force Sensors. - Makoto Yamada; Kouki Nagamune (WAC, 2018)

Riemannian Manifold Kernel for Persistence Diagrams. - Tam Le; Makoto Yamada (CoRR, 2018)

"Dependency Bottleneck" in Auto-encoding Architectures: an Empirical Study. - Denny Wu; Yixiu Zhao; Yao-Hung Hubert Tsai; Makoto Yamada; Ruslan Salakhutdinov (CoRR, 2018)

Loss peak adjustment of long period fiber grating fabricated with CO2 laser by applying tension. - Toshinori Murakami; Osanori Koyama; Akihiro Kusama; Makoto Matsui; Makoto Yamada (IEICE Electron. Express, 2018)

Convex Coupled Matrix and Tensor Completion. - Kishan Wimalawarne; Makoto Yamada; Hiroshi Mamitsuka (Neural Comput., 2018)

Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. - 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; et al. (IEEE Trans. Knowl. Data Eng., 2018)

Optimizing Whole-Page Presentation for Web Search. - Yue Wang 035; Dawei Yin; Luo Jie; Pengyuan Wang 001; Makoto Yamada; Yi Chang 001; Qiaozhu Mei (ACM Trans. Web, 2018)

Learning to Sample Hard Instances for Graph Algorithms. - Ryoma Sato; Makoto Yamada; Hisashi Kashima (ACML, 2019)

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 (EMNLP/IJCNLP (1), 2019)

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 (ICLR (Poster), 2019)

OSTNet: Calibration Method for Optical See-Through Head-Mounted Displays via Non-Parametric Distortion Map Generation. - Kiyosato Someya; Yuichi Hiroi; Makoto Yamada; Yuta Itoh 001 (ISMAR Adjunct, 2019)

In-Vehicle Network Intrusion Detection and Explanation Using Density Ratio Estimation. - Daiki Tanaka; Makoto Yamada; Hisashi Kashima; Takeshi Kishikawa; Tomoyuki Haga; Takamitsu Sasaki (ITSC, 2019)

Vision-based Localization using a Monocular Camera in the Rain. - Makoto Yamada; Tomoya Sato; Hiroyuki Chishiro; Shinpei Kato (ITSC, 2019)

Tree-Sliced Variants of Wasserstein Distances. - Tam Le; Makoto Yamada; Kenji Fukumizu; Marco Cuturi (NeurIPS, 2019)

Kernel Stein Tests for Multiple Model Comparison. - Jen Ning Lim; Makoto Yamada; Bernhard Schölkopf; Wittawat Jitkrittum (NeurIPS, 2019)

Approximation Ratios of Graph Neural Networks for Combinatorial Problems. - Ryoma Sato; Makoto Yamada; Hisashi Kashima (NeurIPS, 2019)

Single-pixel Imaging using a Multi-core Fiber. - Yohei Kameyama; Kanami Ikeda; Osanori Koyama; Makoto Yamada (OECC/PSC, 2019)

OpenFlow-based Remote Control of Optical Switch Employing IoT Device in AWG-STAR with Loop-back Function. - Keigo Minou; Seiya Aso; Osanori Koyama; Minoru Yamaguchi; Yudai Tomioka; Yuki Ogura; Kanami Ikeda; Makoto Yamada (OECC/PSC, 2019)

Context-Regularized Neural Collaborative Filtering for Game App Recommendation. - Shonosuke Harada; Kazuki Taniguchi; Makoto Yamada; Hisashi Kashima (RecSys (Late-Breaking Results), 2019)

Effect of Cutting Maneuvers on Center of Foot Pressure Movement in University Tennis Players. - Naotaka Tomita; Kouki Nagamune; Makoto Yamada (SMC, 2019)

Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data. - Héctor Climente-González; Chloé-Agathe Azencott; Samuel Kaski; Makoto Yamada (Bioinform., 2019)

Tree-Sliced Approximation of Wasserstein Distances. - Tam Le; Makoto Yamada; Kenji Fukumizu; Marco Cuturi (CoRR, 2019)

Learning to Find Hard Instances of Graph Problems. - Ryoma Sato; Makoto Yamada; Hisashi Kashima (CoRR, 2019)

LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport. - Yanbin Liu; Makoto Yamada; Yao-Hung Hubert Tsai; Tam Le; Ruslan Salakhutdinov; Yi Yang 001 (CoRR, 2019)

Computationally Efficient Tree Variants of Gromov-Wasserstein. - Tam Le; Nhat Ho; Makoto Yamada (CoRR, 2019)

On Scalable Variant of Wasserstein Barycenter. - Tam Le; Viet Huynh; Nhat Ho; Dinh Q. Phung; Makoto Yamada (CoRR, 2019)

Robust Sample-Specific Stability Selection with Effective Error Control. - Heewon Park; Makoto Yamada; Seiya Imoto; Satoru Miyano (J. Comput. Biol., 2019)

Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. - Qiang Huang; Tingyu Xia; Huiyan Sun; Makoto Yamada; Yi Chang 001 (AAAI, 2020)

More Powerful Selective Kernel Tests for Feature Selection. - Jen Ning Lim; Makoto Yamada; Wittawat Jitkrittum; Yoshikazu Terada; Shigeyuki Matsui; Hidetoshi Shimodaira (AISTATS, 2020)

Sparse Hilbert-Schmidt Independence Criterion Regression. - Benjamin Poignard; Makoto Yamada (AISTATS, 2020)

Semantic Correspondence as an Optimal Transport Problem. - Yanbin Liu; Linchao Zhu; Makoto Yamada; Yi Yang 001 (CVPR, 2020)

Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. - Luu Huu Phuc; Koh Takeuchi 001; Makoto Yamada; Hisashi Kashima (DSAA, 2020)

Topological Bayesian Optimization with Persistence Diagrams. - Tatsuya Shiraishi; Tam Le; Hisashi Kashima; Makoto Yamada (ECAI, 2020)

Fast Unbalanced Optimal Transport on a Tree. - Ryoma Sato; Makoto Yamada; Hisashi Kashima (NeurIPS, 2020)

Neural Methods for Point-wise Dependency Estimation. - Yao-Hung Hubert Tsai; Han Zhao 002; Makoto Yamada; Louis-Philippe Morency; Ruslan Salakhutdinov (NeurIPS, 2020)

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. - Qiang Huang; Makoto Yamada; Yuan Tian 016; Dinesh Singh 001; Dawei Yin; Yi Chang 001 (CoRR, 2020)

FsNet: Feature Selection Network on High-dimensional Biological Data. - Dinesh Singh 001; Makoto Yamada (CoRR, 2020)

Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces. - Ryoma Sato; Marco Cuturi; Makoto Yamada; Hisashi Kashima (CoRR, 2020)

Fast local linear regression with anchor regularization. - Mathis Petrovich; Makoto Yamada (CoRR, 2020)

Volumization as a Natural Generalization of Weight Decay. - Liu Ziyin 001; Zihao Wang 001; Makoto Yamada; Masahito Ueda (CoRR, 2020)

Feature Robust Optimal Transport for High-dimensional Data. - Mathis Petrovich; Chao Liang 002; Yanbin Liu; Yao-Hung Hubert Tsai; Linchao Zhu; Yi Yang 001; Ruslan Salakhutdinov; Makoto Yamada (CoRR, 2020)

Scaled Coupled Norms and Coupled Higher-Order Tensor Completion. - Kishan Wimalawarne; Makoto Yamada; Hiroshi Mamitsuka (Neural Comput., 2020)

Flow-based Alignment Approaches for Probability Measures in Different Spaces. - Tam Le; Nhat Ho; Makoto Yamada (AISTATS, 2021)

Computationally Efficient Wasserstein Loss for Structured Labels. - Ayato Toyokuni; Sho Yokoi; Hisashi Kashima; Makoto Yamada (EACL (Student Research Workshop), 2021)

Post-selection inference with HSIC-Lasso. - Tobias Freidling; Benjamin Poignard; Héctor Climente-González; Makoto Yamada (ICML, 2021)

Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. - Vu Nguyen; Tam Le; Makoto Yamada; Michael A. Osborne (ICML, 2021)

Supervised Tree-Wasserstein Distance. - Yuki Takezawa; Ryoma Sato; Makoto Yamada (ICML, 2021)

Adversarial Regression with Doubly Non-negative Weighting Matrices. - Tam Le; Truyen Nguyen; Makoto Yamada; Jose H. Blanchet; Viet Anh Nguyen (NeurIPS, 2021)

Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares. - Hiroaki Yamada 006; Makoto Yamada (NeurIPS, 2021)

LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport. - Yanbin Liu; Makoto Yamada; Yao-Hung Hubert Tsai; Tam Le; Ruslan Salakhutdinov; Yi Yang 001 (ECML/PKDD (1), 2021)

Random Features Strengthen Graph Neural Networks. - Ryoma Sato; Makoto Yamada; Hisashi Kashima (SDM, 2021)

Nys-Curve: Nyström-Approximated Curvature for Stochastic Optimization. - Hardik Tankaria; Dinesh Singh 001; Makoto Yamada (CoRR, 2021)

Feature screening with kernel knockoffs. - Benjamin Poignard; Peter J. Naylor; Héctor Climente-González; Makoto Yamada (AISTATS, 2022)

Fixed Support Tree-Sliced Wasserstein Barycenter. - Yuki Takezawa; Ryoma Sato; Zornitsa Kozareva; Sujith Ravi; Makoto Yamada (AISTATS, 2022)

Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. - Ryoma Sato; Makoto Yamada; Hisashi Kashima (CIKM, 2022)

Re-evaluating Word Mover's Distance. - Ryoma Sato; Makoto Yamada; Hisashi Kashima (ICML, 2022)

Modality estimation methods in internal training reflection texts using BERT. - Makoto Yamada; Tsunenori Mine (IIAI-AAI, 2022)

Feature-Robust Optimal Transport for High-Dimensional Data. - Mathis Petrovich; Chao Liang 002; Ryoma Sato; Yanbin Liu; Yao-Hung Hubert Tsai; Linchao Zhu; Yi Yang 001; Ruslan Salakhutdinov; Makoto Yamada (ECML/PKDD (5), 2022)

Feature selection for discovering distributional treatment effect modifiers. - Yoichi Chikahara; Makoto Yamada; Hisashi Kashima (UAI, 2022)

Theoretical Analysis of Primal-Dual Algorithm for Non-Convex Stochastic Decentralized Optimization. - Yuki Takezawa; Kenta Niwa; Makoto Yamada (CoRR, 2022)

Scale dependant layer for self-supervised nuclei encoding. - Peter Naylor; Yao-Hung Hubert Tsai; Marick Laé; Makoto Yamada (CoRR, 2022)

Poincare: Recommending Publication Venues via Treatment Effect Estimation. - Ryoma Sato; Makoto Yamada; Hisashi Kashima (J. Informetrics, 2022)

Constant Time Graph Neural Networks. - Ryoma Sato; Makoto Yamada; Hisashi Kashima (ACM Trans. Knowl. Discov. Data, 2022)

Approximating 1-Wasserstein Distance with Trees. - Makoto Yamada; Yuki Takezawa; Ryoma Sato; Han Bao 002; Zornitsa Kozareva; Sujith Ravi (Trans. Mach. Learn. Res., 2022)

Nyström Method for Accurate and Scalable Implicit Differentiation. - Ryuichiro Hataya; Makoto Yamada (AISTATS, 2023)

Large-scale similarity search with Optimal Transport. - Cléa Laouar; Yuki Takezawa; Makoto Yamada (EMNLP, 2023)

A linear time approximation of Wasserstein distance with word embedding selection. - Sho Otao; Makoto Yamada (EMNLP, 2023)

Identifying Visitor's Paintings Appreciation for AI Audio Guide in Museums. - Mari Saito; Takato Okudo; Makoto Yamada; Seiji Yamada (ICAART (2), 2023)

Robust Graph Dictionary Learning. - Weijie Liu 006; Jiahao Xie 001; Chao Zhang 029; Makoto Yamada; Nenggan Zheng; Hui Qian 001 (ICLR, 2023)

Optimal Transport for Change Detection on Lidar Point Clouds. - Marco Fiorucci; Peter Naylor; Makoto Yamada (IGARSS, 2023)

FsNet: Feature Selection Network on High-dimensional Biological Data. - Dinesh Singh 001; Héctor Climente-González; Mathis Petrovich; Eiryo Kawakami; Makoto Yamada (IJCNN, 2023)

Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence. - Yuki Takezawa; Ryoma Sato; Han Bao 002; Kenta Niwa; Makoto Yamada (NeurIPS, 2023)

Features and Properties of Single-Pixel Imaging Using Speckle Patterns Generated by Multi-Core Fiber. - Ryuta Yamaguchi; Kanami Ikeda; Osanori Koyama; Makoto Yamada (IEEE Access, 2023)

Structural Explanations for Graph Neural Networks using HSIC. - Ayato Toyokuni; Makoto Yamada (CoRR, 2023)

Confidence-driven Sampling for Backdoor Attacks. - Pengfei He; Han Xu 002; Yue Xing 002; Jie Ren 019; Yingqian Cui; Shenglai Zeng; Jiliang Tang; Makoto Yamada; Mohammad Sabokrou (CoRR, 2023)

Embarrassingly Simple Text Watermarks. - Ryoma Sato; Yuki Takezawa; Han Bao 002; Kenta Niwa; Makoto Yamada (CoRR, 2023)

An Empirical Study of Simplicial Representation Learning with Wasserstein Distance. - Makoto Yamada; Yuki Takezawa; Guillaume Houry; Kira Michaela Dusterwald; Déborah Sulem; Han Zhao 002; Yao-Hung Hubert Tsai (CoRR, 2023)

Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data. - Yuki Takezawa; Han Bao 002; Kenta Niwa; Ryoma Sato; Makoto Yamada (Trans. Mach. Learn. Res., 2023)

Communication Compression for Decentralized Learning With Operator Splitting Methods. - Yuki Takezawa; Kenta Niwa; Makoto Yamada (IEEE Trans. Signal Inf. Process. over Networks, 2023)

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. - Qiang Huang; Makoto Yamada; Yuan Tian 016; Dinesh Singh 001; Yi Chang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Inflating 2D convolution weights for efficient generation of 3D medical images. - Yanbin Liu; Girish Dwivedi; Farid Boussaïd; Frank M. Sanfilippo; Makoto Yamada; Mohammed Bennamoun (Comput. Methods Programs Biomed., 2023)

Fast 1-Wasserstein distance approximations using greedy strategies. - Guillaume Houry; Han Bao 002; Han Zhao 002; Makoto Yamada (AISTATS, 2024)

Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. - Yuping Lin; Pengfei He; Han Xu 002; Yue Xing 002; Makoto Yamada; Hui Liu 031; Jiliang Tang (EMNLP, 2024)

Structural Fairness-aware Active Learning for Graph Neural Networks. - Haoyu Han 001; Xiaorui Liu; Li Ma 012; MohamadAli Torkamani; Hui Liu 031; Jiliang Tang; Makoto Yamada (ICLR, 2024)

Learning Structured Representations with Hyperbolic Embeddings. - Aditya Sinha; Siqi Zeng 001; Makoto Yamada; Han Zhao 002 (NeurIPS, 2024)

Parameter-free Clipped Gradient Descent Meets Polyak. - Yuki Takezawa; Han Bao 002; Ryoma Sato; Kenta Niwa; Makoto Yamada (NeurIPS, 2024)

Implicit neural representation for change detection. - Peter Naylor; Diego Di Carlo; Arianna Traviglia; Makoto Yamada; Marco Fiorucci (WACV, 2024)

Polyak Meets Parameter-free Clipped Gradient Descent. - Yuki Takezawa; Han Bao 002; Ryoma Sato; Kenta Niwa; Makoto Yamada (CoRR, 2024)

Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study. - Pengfei He; Yingqian Cui; Han Xu 002; Hui Liu 031; Makoto Yamada; Jiliang Tang; Yue Xing 002 (CoRR, 2024)

On Verbalized Confidence Scores for LLMs. - Daniel Yang; Yao-Hung Hubert Tsai; Makoto Yamada (CoRR, 2024)

Stealthy Backdoor Attack via Confidence-driven Sampling. - Pengfei He; Yue Xing 002; Han Xu 002; Jie Ren 019; Yingqian Cui; Shenglai Zeng; Jiliang Tang; Makoto Yamada; Mohammad Sabokrou (Trans. Mach. Learn. Res., 2024)

Bilaterally Normalized Scale-Consistent Sinkhorn Distance for Few-Shot Image Classification. - Yanbin Liu; Linchao Zhu; Xiaohan Wang; Makoto Yamada; Yi Yang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

On Verbalized Confidence Scores for LLMs. - Daniel Yang; Yao-Hung Hubert Tsai; Makoto Yamada (Zenodo, 2024)

Fast unsupervised ground metric learning with tree-Wasserstein distance. - Kira Michaela Düsterwald; Samo Hromadka; Makoto Yamada (ICLR, 2025)

PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis. - Satoki Ishikawa; Makoto Yamada; Han Bao 002; Yuki Takezawa (ICLR, 2025)

Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport. - Siqi Zeng 001; Sixian Du; Makoto Yamada; Han Zhao 002 (ICLR, 2025)

Data Poisoning for In-context Learning. - Pengfei He; Han Xu 002; Yue Xing 002; Hui Liu 031; Makoto Yamada; Jiliang Tang (NAACL (Findings), 2025)

Necessary and Sufficient Watermark for Large Language Models. - Yuki Takezawa; Ryoma Sato; Han Bao 002; Kenta Niwa; Makoto Yamada (Trans. Mach. Learn. Res., 2025)

Efficient Model Editing with Task Vector Bases: A Theoretical Framework and Scalable Approach. - Siqi Zeng 001; Yifei He; Weiqiu You; Yifan Hao 002; Yao-Hung Hubert Tsai; Makoto Yamada; Han Zhao 002 (CoRR, 2025)

Many-to-Many Matching via Sparsity Controlled Optimal Transport. - Weijie Liu 006; Han Bao 002; Makoto Yamada; Zenan Huang; Nenggan Zheng; Hui Qian 001 (CoRR, 2025)

Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections. - Alireza Salehi; Mohammadreza Salehi; Reshad Hosseini; Cees G. M. Snoek; Makoto Yamada; Mohammad Sabokrou (CoRR, 2025)

PhiNet v2: A Mask-Free Brain-Inspired Vision Foundation Model from Video. - Makoto Yamada; Kian Ming A. Chai; Ayoub Rhim; Satoki Ishikawa; Mohammad Sabokrou; Yao-Hung Hubert Tsai (CoRR, 2025)