Publications (Since 2017)

Machine Learning

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

Ryoma Sato, Makoto Yamada, Hisashi Kashima
Fast Unbalanced Optimal Transport on Tree
NeurIPS 2020

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

Yanbin Liu, Linchao Zhu, Makoto Yamada, Yi Yang
Semantic Correspondence as an Optimal Transport Problem
CVPR 2020

Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada
Topological Bayesian Optimization with Persistence Diagrams
ECAI 2020

Benjamin Poignard, Makoto Yamada
Sparse Hilbert-Schmidt Independence Criterion Regression
AISTATS 2020

Jenning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
More Powerful Selective Kernel Tests for Feature Selection
AISTATS 2020

Qiang Huang, TingYu Xia, HuiYan Sun, Makoto Yamada, Yi Chang
Unsupervised Nonlinear Feature Selection from High-dimensional Signed Networks
AAAI 2020

Héctor Climente-González, Chloé-Agathe Azencott, Samuel Kaski, Makoto Yamada
Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data
Bioinformatics (ISMB) 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 Variants of Wasserstein Distances
NeurIPS 2019

Jenning Lim, Makoto Yamada, Bernhard Schoelkopf, Wittawat Jitkrittum
Kernel Stein Tests for Multiple Model Comparison
NeurIPS 2019

Ryoma Sato, Makoto Yamada, Hisashi Kashima
Learning to Sample Hard Instances for Graph Algorithms
ACML 2019

Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency and Ruslan Salakhutdinov.
Empirical Study of Transformer’s Attention Mechanism via the Lens of Kernel
EMNLP 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 2019

Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi
Post Selection Inference with Kernels
AISTATS 2018

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

Tam Le, Makoto Yamada
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams
NeurIPS 2018

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

Applications

Yuta Takahashi, Masao Ueki, Makoto Yamada, Gen Tamiya, Ikuko N. Motoike, Daisuke Saigusa, Miyuki Sakurai, Fuji Nagami, Soichi Ogishima, Seizo Koshiba, Kengo Kinoshita, Masayuki Yamamoto
Improved metabolomic data-based prediction of depressive symptoms using nonlinear machine learning with feature selection
Translational Psychiatry, 2020.

Yu Saito, Kento Shin, Kei Terayama, Shaan Desai, Masaru Onga, Yuji Nakagawa, Yuki M. Itahashi, Yoshihiro Iwasa, Makoto Yamada, Koji Tsuda
Deep-learning-based quality filtering of mechanically exfoliated 2D crystals
npj Computational Materials, 2019.

Akihiro Isozaki, Hideharu Mikami, Kotaro Hiramatsu, Shinya Sakuma, Yusuke Kasai, Takanori Iino, Takashi Yamano, Atsushi Yasumoto, Yusuke Oguchi, Nobutake Suzuki, Yoshitaka Shirasaki, Taichiro Endo, Takuro Ito, Kei Hiraki, Makoto Yamada, Satoshi Matsusaka, Takeshi Hayakawa, Hideya Fukuzawa, Yutaka Yatomi, Fumihito Arai, Dino Di Carlo, Atsuhiro Nakagawa, Yu Hoshino, Yoichiroh Hosokawa, Sotaro Uemura, Takeaki Sugimura, Yasuyuki Ozeki, Nao Nitta, Keisuke Goda.
A practical guide to intelligent image-activated cell sorting
Nature Protocols, 2019.

Nao Nitta, Takeaki Sugimura, Akihiro Isozaki, Hideharu Mikami, Kei Hiraki, Shinya Sakuma, Takanori Iino, Fumihito Arai, Taichiro Endo, Yasuhiro Fujiwaki, Hideya Fukuzawa, Misa Hase, Takeshi Hayakawa, Kotaro Hiramatsu, Yu Hoshino, Mary Inaba, Takuro Ito, Hiroshi Karakawa, Yusuke Kasai, Kenichi Koizumi, SangWook Lee, Cheng Lei, Ming Li, Takanori Maeno, Satoshi Matsusaka, Daichi Murakami, Atsuhiro Nakagawa, Yusuke Oguchi, Minoru Oikawa, Tadataka Ota, Kiyotaka Shiba, Hirofumi Shintaku, Yoshitaka Shirasaki, Kanako Suga, Yuta Suzuki, Nobutake Suzuki, Yo Tanaka, Hiroshi Tezuka, Chihana Toyokawa, Yaxiaer Yalikun, Makoto Yamada, Mai Yamagishi, Takashi Yamano, Atsushi Yasumoto, Yutaka Yatomi, Masayuki Yazawa, Dino Di Carlo, Yoichiroh Hosokawa, Yasuyuki Ozeki, Keisuke Goda.
Intelligent Image-Activated Cell Sorting
Cell, 2018.

Cheng Lei, Hirofumi Kobayashi, Yi Wu, Ming Li, Akihiro Isozaki, Atsushi Yasumoto, Hideharu Mikami, Takuro Ito, Nao Nitta, Takeaki Sugimura, Makoto Yamada, Yutaka Yatomi, Dino Di Carlo, Yasuyuki Ozeki, Keisuke Goda
High-throughput imaging flow cytometry by optofluidic time-stretch microscopy
Nature Protocols, 2018.