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Makoto Yamada
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2020 – today
- 2024
- [j48]Yanbin Liu
, Linchao Zhu
Bilaterally Normalized Scale-Consistent Sinkhorn Distance for Few-Shot Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11475-11485 (2024) - [c103]Guillaume Houry, Han Bao, Han Zhao, Makoto Yamada:
Fast 1-Wasserstein distance approximations using greedy strategies. AISTATS 2024: 325-333 - [c102]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 - [c101]Peter Naylor, Diego Di Carlo, Arianna Traviglia, Makoto Yamada, Marco Fiorucci
Implicit neural representation for change detection. WACV 2024: 924-934 - [i64]Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang:
Data Poisoning for In-context Learning. CoRR abs/2402.02160 (2024) - [i63]Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa:
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis. CoRR abs/2405.14650 (2024) - [i62]Yuki Takezawa, Han Bao, Ryoma Sato, Kenta Niwa, Makoto Yamada:
Polyak Meets Parameter-free Clipped Gradient Descent. CoRR abs/2405.15010 (2024) - [i61]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 abs/2406.10794 (2024) - 2023
- [j47]Ryuta Yamaguchi, Kanami Ikeda
Features and Properties of Single-Pixel Imaging Using Speckle Patterns Generated by Multi-Core Fiber. IEEE Access 11: 55326-55333 (2023) - [j46]Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Frank M. Sanfilippo
Inflating 2D convolution weights for efficient generation of 3D medical images. Comput. Methods Programs Biomed. 240: 107685 (2023) - [j45]Qiang Huang
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(7): 6968-6972 (2023) - [j44]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) - [j43]Yuki Takezawa
Communication Compression for Decentralized Learning With Operator Splitting Methods. IEEE Trans. Signal Inf. Process. over Networks 9: 581-595 (2023) - [c100]Ryuichiro Hataya, Makoto Yamada:
Nyström Method for Accurate and Scalable Implicit Differentiation. AISTATS 2023: 4643-4654 - [c99]Cléa Laouar, Yuki Takezawa, Makoto Yamada:
Large-scale similarity search with Optimal Transport. EMNLP 2023: 11920-11930 - [c98]Sho Otao, Makoto Yamada:
A linear time approximation of Wasserstein distance with word embedding selection. EMNLP 2023: 15121-15134 - [c97]Mari Saito, Takato Okudo, Makoto Yamada, Seiji Yamada:
Identifying Visitor's Paintings Appreciation for AI Audio Guide in Museums. ICAART (2) 2023: 55-64 - [c96]Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, Hui Qian:
Robust Graph Dictionary Learning. ICLR 2023 - [c95]Marco Fiorucci
Optimal Transport for Change Detection on Lidar Point Clouds. IGARSS 2023: 982-985 - [c94]Dinesh Singh, Héctor Climente-González, Mathis Petrovich, Eiryo Kawakami, Makoto Yamada:
FsNet: Feature Selection Network on High-dimensional Biological Data. IJCNN 2023: 1-9 - [c93]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 - [i60]Ayato Toyokuni, Makoto Yamada:
Structural Explanations for Graph Neural Networks using HSIC. CoRR abs/2302.02139 (2023) - [i59]Marco Fiorucci, Peter Naylor, Makoto Yamada:
Optimal Transport for Change Detection on LiDAR Point Clouds. CoRR abs/2302.07025 (2023) - [i58]Ryuichiro Hataya, Makoto Yamada:
Nystrom Method for Accurate and Scalable Implicit Differentiation. CoRR abs/2302.09726 (2023) - [i57]Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada:
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence. CoRR abs/2305.11420 (2023) - [i56]Peter Naylor, Diego Di Carlo, Arianna Traviglia, Makoto Yamada, Marco Fiorucci:
Implicit neural representation for change detection. CoRR abs/2307.15428 (2023) - [i55]Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada:
Necessary and Sufficient Watermark for Large Language Models. CoRR abs/2310.00833 (2023) - [i54]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 abs/2310.05263 (2023) - [i53]Ryoma Sato, Yuki Takezawa, Han Bao, Kenta Niwa, Makoto Yamada:
Embarrassingly Simple Text Watermarks. CoRR abs/2310.08920 (2023) - [i52]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 abs/2310.10143 (2023) - 2022
- [j42]Ryoma Sato
Poincare: Recommending Publication Venues via Treatment Effect Estimation. J. Informetrics 16(2): 101283 (2022) - [j41]Ryoma Sato
Constant Time Graph Neural Networks. ACM Trans. Knowl. Discov. Data 16(5): 92:1-92:31 (2022) - [j40]Makoto Yamada, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi:
Approximating 1-Wasserstein Distance with Trees. Trans. Mach. Learn. Res. 2022 (2022) - [c92]Yuki Takezawa
Fixed Support Tree-Sliced Wasserstein Barycenter. AISTATS 2022: 1120-1137 - [c91]Benjamin Poignard, Peter J. Naylor, Héctor Climente-González, Makoto Yamada:
Feature screening with kernel knockoffs. AISTATS 2022: 1935-1974 - [c90]Ryoma Sato, Makoto Yamada
Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. CIKM 2022: 4444-4448 - [c89]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Re-evaluating Word Mover's Distance. ICML 2022: 19231-19249 - [c88]Makoto Yamada, Tsunenori Mine:
Modality estimation methods in internal training reflection texts using BERT. IIAI-AAI 2022: 118-123 - [c87]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: 291-307 - [c86]Yoichi Chikahara, Makoto Yamada, Hisashi Kashima:
Feature selection for discovering distributional treatment effect modifiers. UAI 2022: 400-410 - [i51]Yuki Takezawa, Kenta Niwa, Makoto Yamada:
Communication Compression for Decentralized Learning with Operator Splitting Methods. CoRR abs/2205.03779 (2022) - [i50]Yuki Takezawa, Kenta Niwa, Makoto Yamada:
Theoretical Analysis of Primal-Dual Algorithm for Non-Convex Stochastic Decentralized Optimization. CoRR abs/2205.11979 (2022) - [i49]Yoichi Chikahara, Makoto Yamada
Feature Selection for Discovering Distributional Treatment Effect Modifiers. CoRR abs/2206.00516 (2022) - [i48]Makoto Yamada
Approximating 1-Wasserstein Distance with Trees. CoRR abs/2206.12116 (2022) - [i47]Peter Naylor, Yao-Hung Hubert Tsai, Marick Laé, Makoto Yamada
Scale dependant layer for self-supervised nuclei encoding. CoRR abs/2207.10950 (2022) - [i46]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 abs/2208.03934 (2022) - [i45]Ryoma Sato, Makoto Yamada
Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. CoRR abs/2208.09862 (2022) - [i44]Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada
Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data. CoRR abs/2209.15505 (2022) - 2021
- [c85]Tam Le, Nhat Ho, Makoto Yamada:
Flow-based Alignment Approaches for Probability Measures in Different Spaces. AISTATS 2021: 3934-3942 - [c84]Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada:
Computationally Efficient Wasserstein Loss for Structured Labels. EACL (Student Research Workshop) 2021: 1-7 - [c83]Tobias Freidling, Benjamin Poignard, Héctor Climente-González, Makoto Yamada:
Post-selection inference with HSIC-Lasso. ICML 2021: 3439-3448 - [c82]Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne:
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. ICML 2021: 8084-8095 - [c81]Yuki Takezawa, Ryoma Sato, Makoto Yamada:
Supervised Tree-Wasserstein Distance. ICML 2021: 10086-10095 - [c80]Hiroaki Yamada, Makoto Yamada:
Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares. NeurIPS 2021: 14645-14655 - [c79]Tam Le, Truyen Nguyen, Makoto Yamada, Jose H. Blanchet, Viet Anh Nguyen:
Adversarial Regression with Doubly Non-negative Weighting Matrices. NeurIPS 2021: 16964-16976 - [c78]Yanbin Liu, Makoto Yamada
LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport. ECML/PKDD (1) 2021: 655-670 - [c77]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Random Features Strengthen Graph Neural Networks. SDM 2021: 333-341 - [i43]Yuki Takezawa, Ryoma Sato, Makoto Yamada:
Supervised Tree-Wasserstein Distance. CoRR abs/2101.11520 (2021) - [i42]Hiroaki Yamada, Makoto Yamada:
Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares. CoRR abs/2102.04108 (2021) - [i41]Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada:
Computationally Efficient Wasserstein Loss for Structured Labels. CoRR abs/2103.00899 (2021) - [i40]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Re-evaluating Word Mover's Distance. CoRR abs/2105.14403 (2021) - [i39]Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada:
Fixed Support Tree-Sliced Wasserstein Barycenter. CoRR abs/2109.03431 (2021) - [i38]Tam Le, Truyen Nguyen, Makoto Yamada, Jose H. Blanchet, Viet Anh Nguyen:
Adversarial Regression with Doubly Non-negative Weighting Matrices. CoRR abs/2109.14875 (2021) - [i37]Hardik Tankaria, Dinesh Singh, Makoto Yamada:
Nys-Curve: Nyström-Approximated Curvature for Stochastic Optimization. CoRR abs/2110.08577 (2021) - 2020
- [j39]Kishan Wimalawarne, Makoto Yamada
Scaled Coupled Norms and Coupled Higher-Order Tensor Completion. Neural Comput. 32(2): 447-484 (2020) - [c76]Qiang Huang, Tingyu Xia
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. AAAI 2020: 4182-4189 - [c75]Benjamin Poignard, Makoto Yamada:
Sparse Hilbert-Schmidt Independence Criterion Regression. AISTATS 2020: 538-548 - [c74]Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira:
More Powerful Selective Kernel Tests for Feature Selection. AISTATS 2020: 820-830 - [c73]Yanbin Liu, Linchao Zhu
Semantic Correspondence as an Optimal Transport Problem. CVPR 2020: 4462-4471 - [c72]Luu Huu Phuc, Koh Takeuchi, Makoto Yamada
Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. DSAA 2020: 245-254 - [c71]Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada
Topological Bayesian Optimization with Persistence Diagrams. ECAI 2020: 1483-1490 - [c70]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Fast Unbalanced Optimal Transport on a Tree. NeurIPS 2020 - [c69]Yao-Hung Hubert Tsai, Han Zhao, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov:
Neural Methods for Point-wise Dependency Estimation. NeurIPS 2020 - [i36]Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Dawei Yin, Yi Chang:
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. CoRR abs/2001.06216 (2020) - [i35]Dinesh Singh, Makoto Yamada:
FsNet: Feature Selection Network on High-dimensional Biological Data. CoRR abs/2001.08322 (2020) - [i34]Ryoma Sato, Marco Cuturi, Makoto Yamada, Hisashi Kashima:
Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces. CoRR abs/2002.01615 (2020) - [i33]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Random Features Strengthen Graph Neural Networks. CoRR abs/2002.03155 (2020) - [i32]Mathis Petrovich, Makoto Yamada:
Fast local linear regression with anchor regularization. CoRR abs/2003.05747 (2020) - [i31]Ziyin Liu, Zihao Wang
Volumization as a Natural Generalization of Weight Decay. CoRR abs/2003.11243 (2020) - [i30]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 abs/2005.12123 (2020) - [i29]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Fast Unbalanced Optimal Transport on Tree. CoRR abs/2006.02703 (2020) - [i28]Yao-Hung Hubert Tsai, Han Zhao, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov:
Neural Methods for Point-wise Dependency Estimation. CoRR abs/2006.05553 (2020) - [i27]Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne:
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. CoRR abs/2006.07593 (2020) - [i26]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Poincare: Recommending Publication Venues via Treatment Effect Estimation. CoRR abs/2010.09157 (2020)
2010 – 2019
- 2019
- [j38]Héctor Climente-González
Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data. Bioinform. 35(14): i427-i435 (2019) - [j37]Heewon Park, Makoto Yamada
Robust Sample-Specific Stability Selection with Effective Error Control. J. Comput. Biol. 26(3): 202-217 (2019) - [c68]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Learning to Sample Hard Instances for Graph Algorithms. ACML 2019: 503-518 - [c67]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. EMNLP/IJCNLP (1) 2019: 4343-4352 - [c66]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 - [c65]Kiyosato Someya, Yuichi Hiroi, Makoto Yamada
OSTNet: Calibration Method for Optical See-Through Head-Mounted Displays via Non-Parametric Distortion Map Generation. ISMAR Adjunct 2019: 259-260 - [c64]Makoto Yamada, Tomoya Sato, Hiroyuki Chishiro, Shinpei Kato:
Vision-based Localization using a Monocular Camera in the Rain. ITSC 2019: 293-298 - [c63]Daiki Tanaka, Makoto Yamada
In-Vehicle Network Intrusion Detection and Explanation Using Density Ratio Estimation. ITSC 2019: 2238-2243 - [c62]Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum:
Kernel Stein Tests for Multiple Model Comparison. NeurIPS 2019: 2240-2250 - [c61]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Approximation Ratios of Graph Neural Networks for Combinatorial Problems. NeurIPS 2019: 4083-4092 - [c60]Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi:
Tree-Sliced Variants of Wasserstein Distances. NeurIPS 2019: 12283-12294 - [c59]Yohei Kameyama, Kanami Ikeda, Osanori Koyama, Makoto Yamada:
Single-pixel Imaging using a Multi-core Fiber. OECC/PSC 2019: 1-3 - [c58]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: 1-3 - [c57]Shonosuke Harada, Kazuki Taniguchi, Makoto Yamada, Hisashi Kashima:
Context-Regularized Neural Collaborative Filtering for Game App Recommendation. RecSys (Late-Breaking Results) 2019: 16-20 - [c56]Naotaka Tomita, Kouki Nagamune, Makoto Yamada:
Effect of Cutting Maneuvers on Center of Foot Pressure Movement in University Tennis Players. SMC 2019: 1177-1181 - [i25]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Constant Time Graph Neural Networks. CoRR abs/1901.07868 (2019) - [i24]Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi:
Tree-Sliced Approximation of Wasserstein Distances. CoRR abs/1902.00342 (2019) - [i23]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Learning to Find Hard Instances of Graph Problems. CoRR abs/1902.09700 (2019) - [i22]Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada:
Topological Bayesian Optimization with Persistence Diagrams. CoRR abs/1902.09722 (2019) - [i21]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Approximation Ratios of Graph Neural Networks for Combinatorial Problems. CoRR abs/1905.10261 (2019) - [i20]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 abs/1908.11775 (2019) - [i19]Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang:
LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport. CoRR abs/1909.02373 (2019) - [i18]Tam Le, Nhat Ho, Makoto Yamada:
Computationally Efficient Tree Variants of Gromov-Wasserstein. CoRR abs/1910.04462 (2019) - [i17]Tam Le, Viet Huynh, Nhat Ho, Dinh Q. Phung, Makoto Yamada:
On Scalable Variant of Wasserstein Barycenter. CoRR abs/1910.04483 (2019) - [i16]Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira:
More Powerful Selective Kernel Tests for Feature Selection. CoRR abs/1910.06134 (2019) - [i15]Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum:
Kernel Stein Tests for Multiple Model Comparison. CoRR abs/1910.12252 (2019) - 2018
- [j36]Toshinori Murakami, Osanori Koyama, Akihiro Kusama, Makoto Matsui, Makoto Yamada:
Loss peak adjustment of long period fiber grating fabricated with CO2 laser by applying tension. IEICE Electron. Express 15(23): 20180844 (2018) - [j35]Kishan Wimalawarne, Makoto Yamada
Convex Coupled Matrix and Tensor Completion. Neural Comput. 30(11) (2018) - [j34]Makoto Yamada
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. IEEE Trans. Knowl. Data Eng. 30(7): 1352-1365 (2018) - [j33]Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada
Optimizing Whole-Page Presentation for Web Search. ACM Trans. Web 12(3): 19:1-19:25 (2018) - [c55]Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi:
Post Selection Inference with Kernels. AISTATS 2018: 152-160 - [c54]Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales:
Learning Unsupervised Word Translations Without Adversaries. EMNLP 2018: 627-632 - [c53]Kosuke Kikui, Yuta Itoh
Intra-/inter-user adaptation framework for wearable gesture sensing device. UbiComp 2018: 21-24 - [c52]Yao-Hung Hubert Tsai, Denny Wu, Makoto Yamada, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu:
Selecting the Best in GANs Family: a Post Selection Inference Framework. ICLR (Workshop) 2018 - [c51]Tam Le, Makoto Yamada:
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams. NeurIPS 2018: 10028-10039 - [c50]Kouki Nagamune, Makoto Yamada:
A Wearable Measurement System for Sole Pressure to Calculate Center of Pressure in Sports Activity. SMC 2018: 1333-1336 - [c49]Makoto Yamada, Kouki Nagamune:
A Development of Measurement System for Foot Pressure by Using Optical Force Sensors. WAC 2018: 1-5 - [i14]Tam Le, Makoto Yamada:
Riemannian Manifold Kernel for Persistence Diagrams. CoRR abs/1802.03569 (2018) - [i13]Denny Wu, Yixiu Zhao, Yao-Hung Hubert Tsai, Makoto Yamada, Ruslan Salakhutdinov:
"Dependency Bottleneck" in Auto-encoding Architectures: an Empirical Study. CoRR abs/1802.05408 (2018) - [i12]Yao-Hung Hubert Tsai, Makoto Yamada, Denny Wu, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu:
Selecting the Best in GANs Family: a Post Selection Inference Framework. CoRR abs/1802.05411 (2018) - 2017
- [c48]Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski:
Localized Lasso for High-Dimensional Regression. AISTATS 2017: 325-333 - [c47]Makoto Yamada
Convex Factorization Machine for Toxicogenomics Prediction. KDD 2017: 1215-1224 - [i11]Makoto Yamada, Song Liu, Samuel Kaski:
Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation. CoRR abs/1702.06354 (2017) - [i10]Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales:
Deep Matching Autoencoders. CoRR abs/1711.06047 (2017) - 2016
- [j32]Makoto Yamada, Tsukasa Kondo, Kai Wakasa:
High Efficiency Machining for Integral Shaping from Simplicity Materials Using Five-Axis Machine Tools. Int. J. Autom. Technol. 10(5): 804-812 (2016) - [j31]Yi Chang
Lifecycle Modeling for Buzz Temporal Pattern Discovery. ACM Trans. Knowl. Discov. Data 11(2): 20:1-20:24 (2016) - [c46]Zornitsa Kozareva, Makoto Yamada
Which Tumblr Post Should I Read Next? ACL (2) 2016 - [c45]Junning Gao, Makoto Yamada, Samuel Kaski, Hiroshi Mamitsuka, Shanfeng Zhu:
A Robust Convex Formulation for Ensemble Clustering. IJCAI 2016: 1476-1482 - [c44]Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu:
Timeline Summarization from Social Media with Life Cycle Models. IJCAI 2016: 3698-3704 - [c43]Tomoharu Iwata, Makoto Yamada:
Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models. NIPS 2016: 1136-1144 - [c42]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:
32-core Dense SDM unidirectional transmission of PDM-16QAM signals over 1600 km using crosstalk-managed single-mode heterogeneous multicore transmission line. OFC 2016: 1-3 - [c41]Kohki Shibahara, Takayuki Mizuno, Hidehiko Takara, H. Kawakami, D. Lee, Yutaka Miyamoto, S. Matsuo, Kunimasa Saitoh, Makoto Yamada:
Space-time coding-assisted transmission for mitigation of MDL impact on mode-division multiplexed signals. OFC 2016: 1-3 - [c40]Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang
Beyond Ranking: Optimizing Whole-Page Presentation. WSDM 2016: 103-112 - [i9]Makoto Yamada, Koh Takeuchi, Tomoharu Iwata, John Shawe-Taylor, Samuel Kaski:
Sparse Network Lasso for Local High-dimensional Regression. CoRR abs/1603.06743 (2016) - 2015
- [j30]Makoto Yamada
Cross-Domain Matching with Squared-Loss Mutual Information. IEEE Trans. Pattern Anal. Mach. Intell. 37(9): 1764-1776 (2015) - [j29]Nguyen Ngoc Mai Khanh, Tetsuya Iizuka, Akihiko Sasaki, Makoto Yamada, Osamu Morita, Kunihiro Asada:
A Near-Field Magnetic Sensing System With High-Spatial Resolution and Application for Security of Cryptographic LSIs. IEEE Trans. Instrum. Meas. 64(4): 840-848 (2015) - [c39]Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang:
Consistent Collective Matrix Completion under Joint Low Rank Structure. AISTATS 2015 - [i8]Makoto Yamada, Amit Goyal, Yi Chang:
Convex Factorization Machine for Regression. CoRR abs/1507.01073 (2015) - 2014
- [j28]Makoto Yamada
Domain Adaptation for Structured Regression. Int. J. Comput. Vis. 109(1-2): 126-145 (2014) - [j27]Makoto Yamada
Least-squares independence regression for non-linear causal inference under non-Gaussian noise. Mach. Learn. 96(3): 249-267 (2014) - [j26]Masashi Sugiyama
Information-Maximization Clustering Based on Squared-Loss Mutual Information. Neural Comput. 26(1): 84-131 (2014) - [j25]Makoto Yamada
High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso. Neural Comput. 26(1): 185-207 (2014) - [j24]Gang Niu, Bo Dai, Makoto Yamada
Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization. Neural Comput. 26(8): 1717-1762 (2014) - [j23]Makoto Yamada
Covariate Shift Adaptation for Discriminative 3D Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 235-247 (2014) - [j22]Md. Nooruzzaman
Design and performance evaluation of amplifier modules in stackable ROADMs for low-cost CWDM access networks. Photonic Netw. Commun. 28(3): 237-250 (2014) - [c38]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:
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 2014: 1-3 - [c37]Yi Chang
Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery. ICDM 2014: 749-754 - [c36]Makoto Yamada, Hirotaka Ono, K. Ohta, Shinichi Aozasa, T. Tanaka, K. Senda, Y. Maeda, Osanori Koyama, Jun Ono:
1.7 µm band optical fiber amplifier. OFC 2014: 1-3 - [c35]Nguyen Ngoc Mai Khanh, Tetsuya Iizuka, Akihiko Sasaki, Makoto Yamada, Osamu Morita, Kunihiro Asada:
High-resolution measurement of magnetic field generated from cryptographic LSIs. SAS 2014: 111-114 - [i7]Makoto Yamada, Avishek Saha, Hua Ouyang, Dawei Yin, Yi Chang:
N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data. CoRR abs/1411.2331 (2014) - [i6]Tomoharu Iwata, Makoto Yamada:
Multi-view Anomaly Detection via Probabilistic Latent Variable Models. CoRR abs/1411.3413 (2014) - [i5]Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang:
Consistent Collective Matrix Completion under Joint Low Rank Structure. CoRR abs/1412.2113 (2014) - 2013
- [j21]Makoto Yamada
Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis. Digit. Signal Process. 23(1): 1-8 (2013) - [j20]Osanori Koyama, Hikaru Sumiana, Yoshikazu Toyooka, Makoto Yamada:
High temperature detection inside large-scale plants using distributed sensor fabricated by 10 LPG resonant wavelengths multiplexing. IEICE Electron. Express 10(18): 20130586 (2013) - [j19]Masashi Sugiyama
Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning. J. Comput. Sci. Eng. 7(2): 99-111 (2013) - [j18]Md. Nooruzzaman
Scalable Single-Fiber CWDM Ring Networks With Stackable ROADMs. JOCN 5(8): 910-920 (2013) - [j17]Makoto Yamada
Relative Density-Ratio Estimation for Robust Distribution Comparison. Neural Comput. 25(5): 1324-1370 (2013) - [j16]Song Liu, Makoto Yamada
Change-point detection in time-series data by relative density-ratio estimation. Neural Networks 43: 72-83 (2013) - [j15]Md. Nooruzzaman
Stackable ROADMs for minimizing lightpath interference during upgrade of in-service WDM networks. Photonic Netw. Commun. 26(1): 13-24 (2013) - [c34]Alejandro Marcos Alvarez, Makoto Yamada
Clustering-based anomaly detection in multi-view data. CIKM 2013: 1545-1548 - [c33]Makoto Yamada, Akisato Kimura, Futoshi Naya, Hiroshi Sawada:
Change-Point Detection with Feature Selection in High-Dimensional Time-Series Data. IJCAI 2013: 1827-1833 - [c32]Alejandro Marcos Alvarez, Makoto Yamada
Exploiting socially-generated side information in dimensionality reduction. SAM@ACM Multimedia 2013: 9-12 - [c31]Akisato Kimura, Katsuhiko Ishiguro, Makoto Yamada
Image context discovery from socially curated contents. ACM Multimedia 2013: 565-568 - [c30]Makoto Yamada, Hirotaka Ono, Norihiko Sakai, Katsuhiro Takenaga, Shoichiro Matsuo:
Theoretical study of crosstalk characteristics for multi-core optical fiber amplifiers. OFC/NFOEC 2013: 1-3 - 2012
- [j14]Osanori Koyama, Ryou Sougen, Keisuke Ikushima, Makoto Yamada, Yutaka Katsuyama:
Optical Fan-Out Adapter for Compact Packaging of Components by a Jacket Removing System with a CO2 Laser. IEICE Trans. Commun. 95-B(1): 143-151 (2012) - [j13]Makoto Yamada, Akisumi Tomoe, Takahiro Kinoshita, Osanori Koyama, Yutaka Katsuyama, Takashi Shibuya:
Heating and Burning of Optical Fibers and Cables by Light Scattered from Bubble Train Formed by Optical Fiber Fuse. IEICE Trans. Commun. 95-B(8): 2638-2641 (2012) - [j12]Masashi Sugiyama
On Kernel Parameter Selection in Hilbert-Schmidt Independence Criterion. IEICE Trans. Inf. Syst. 95-D(10): 2564-2567 (2012) - [j11]Makoto Yamada, Masaharu Uno, Hirotaka Ono:
C- and L-Band Parallel Configuration Optical Fiber Amplifier Employing Bundled Er3+-Doped Fiber. IEICE Trans. Commun. 95-B(10): 3294-3297 (2012) - [c29]Makoto Yamada
No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation. ECCV (4) 2012: 674-687 - [c28]Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama:
Information-theoretic Semi-supervised Metric Learning via Entropy Regularization. ICML 2012 - [c27]Song Liu, Makoto Yamada
Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation. SSPR/SPR 2012: 363-372 - [i4]Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal, Masashi Sugiyama:
High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso. CoRR abs/1202.0515 (2012) - [i3]Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama:
Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation. CoRR abs/1203.0453 (2012) - [i2]Makoto Yamada, Leonid Sigal, Michalis Raptis, Masashi Sugiyama:
Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information. CoRR abs/1206.4116 (2012) - [i1]Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama:
Information-theoretic Semi-supervised Metric Learning via Entropy Regularization. CoRR abs/1206.4614 (2012) - 2011
- [j10]Makoto Yamada
Improving the Accuracy of Least-Squares Probabilistic Classifiers. IEICE Trans. Inf. Syst. 94-D(6): 1337-1340 (2011) - [j9]Osanori Koyama, Makoto Yamada, Yoshiteru Okada, Keisuke Matsuyama, Yutaka Katsuyama:
Bidirectional Amplification Module for IP-over-CWDM Ring Network. IEICE Trans. Electron. 94-C(7): 1153-1159 (2011) - [j8]Masashi Sugiyama, Makoto Yamada
Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search. Neural Networks 24(2): 183-198 (2011) - [c26]Makoto Yamada, Masashi Sugiyama:
Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis. AAAI 2011: 549-554 - [c25]Md. Nooruzzaman
Stackable ROADM with optical amplifier for use in IP-over-CWDM networks. APCC 2011: 90-95 - [c24]Raja Zahilah, Md. Nooruzzaman
Monitored power pre-checking scheme for optical amplification management in lightpath reconfigurable IP-over-CWDM networks. APCC 2011: 107-112 - [c23]Jun Takagi, Yasunori Ohishi, Akisato Kimura, Masashi Sugiyama, Makoto Yamada
Automatic audio tag classification via semi-supervised canonical density estimation. ICASSP 2011: 2232-2235 - [c22]Masashi Sugiyama, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya:
On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution. ICML 2011: 65-72 - [c21]Tsuneo Kato, Makoto Yamada, Nobuyuki Nishizawa, Keiichiro Oura, Keiichi Tokuda:
Large-Scale Subjective Evaluations of Speech Rate Control Methods for HMM-Based Speech Synthesizers. INTERSPEECH 2011: 1845-1848 - [c20]Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama:
Relative Density-Ratio Estimation for Robust Distribution Comparison. NIPS 2011: 594-602 - [c19]Makoto Yamada, Gang Niu, Jun Takagi, Masashi Sugiyama:
Suffcient Component Analysis. ACML 2011: 247-262 - [c18]Makoto Yamada, Masashi Sugiyama:
Cross-Domain Object Matching with Model Selection. AISTATS 2011: 807-815 - 2010
- [j7]Keisuke Ikushima, Ryou Sougen, Osanori Koyama, Makoto Yamada, Yutaka Katsuyama:
Novel Fiber Jacket Removing System by a CO2 Laser for Compact Packaging of Optical Components. IEICE Trans. Commun. 93-B(1): 158-161 (2010) - [j6]Ryou Sougen, Keisuke Ikushima, Osanori Koyama, Makoto Yamada, Yutaka Katsuyama:
Optimum Conditions for Fiber Jacket Removing by a CO2 Laser for Compact Packaging of Optical Components. IEICE Trans. Commun. 93-B(4): 1005-1008 (2010) - [j5]Makoto Yamada
Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers. IEICE Trans. Inf. Syst. 93-D(10): 2846-2849 (2010) - [j4]Makoto Yamada
Semi-supervised speaker identification under covariate shift. Signal Process. 90(8): 2353-2361 (2010) - [c17]Makoto Yamada, Masashi Sugiyama:
Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise. AAAI 2010: 643-648 - [c16]Gordon Wichern, Makoto Yamada
Automatic audio tagging using covariate shift adaptation. ICASSP 2010: 253-256 - [c15]Makoto Yamada
Acceleration of sequence kernel computation for real-time speaker identification. ICASSP 2010: 1626-1629 - [c14]Makoto Yamada
Direct importance estimation with probabilistic principal component analyzers. ICASSP 2010: 1962-1965
2000 – 2009
- 2009
- [j3]Makoto Yamada
Direct Importance Estimation with Gaussian Mixture Models. IEICE Trans. Inf. Syst. 92-D(10): 2159-2162 (2009) - [c13]Makoto Yamada
Covariate shift adaptation for semi-supervised speaker identification. ICASSP 2009: 1661-1664 - [c12]Kazunobu Kondo, Makoto Yamada, Hideki Kenmochi:
A semi-blind source separation method with a less amount of computation suitable for tiny DSP modules. INTERSPEECH 2009: 1339-1342 - 2007
- [j2]Makoto Yamada, Tsukasa Kondo, Fumiki Tanaka, Takeshi Kishinami:
Tilted Tool Axis Machining on 5-Axis Machine Tools. Int. J. Autom. Technol. 1(2): 120-127 (2007) - 2006
- [j1]Kentaro Kotani, Shigeaki Esaka, Makoto Yamada, Jun Deguchi, Ken Horii, Mitsuo Tonoike, Taro Noguchi:
Measurement of neuromagnetic fields accompanying movements by patient with acute stroke. Syst. Comput. Jpn. 37(7): 12-25 (2006) - [c11]Hao Yuan, Makoto Yamada, Hisashi Kawai:
A DOA estimation method for 3D multiple source signals using independent component analysis. EUSIPCO 2006: 1-5 - [c10]Makoto Yamada, Mahmood R. Azimi-Sadjadi:
Kernel Wiener Filter with Distance Constraint. ICASSP (3) 2006: 596-599 - 2005
- [c9]Makoto Yamada, Mahmood R. Azimi-Sadjadi:
Nonlinear Signal Estimation using KernelWiener Filter in Canonical Correlation Analysis Framework. CIMCA/IAWTIC 2005: 1095-1101 - [c8]Makoto Yamada, Tsuneo Kato, Masaki Naito, Hisashi Kawai:
Improvement of rejection performance of keyword spotting using anti-keywords derived from large vocabulary considering acoustical similarity to keywords. INTERSPEECH 2005: 1445-1448 - 2002
- [c7]Makoto Yamada, Takanori Mori, Atsushi Fukada, Akio Nakata, Teruo Higashino:
A Method for Functional Testing of Media Synchronization Protocols. ICOIN (2) 2002: 539-550 - 2001
- [c6]Makoto Yamada, Yoshitaka Hara, Yukiyoshi Kamio, Sliinsuke Hara:
Packet communications with slotted ALOHA in a mobile cellular system. VTC Fall 2001: 1363-1367 - 2000
- [c5]Makoto Yamada, Yukiyoshi Kamio, Yoshio Wada:
Acquisition of direct-sequence spread-spectrum signal with parallel matched filters. PIMRC 2000: 1260-1264
1990 – 1999
- 1996
- [c4]Masao Kume, Yoshitosi Morita, Yutaka Yamauchi, Hideaki Aoki, Makoto Yamada, Kazuyoshi Tsukamoto:
Development of a mechanotherapy unit for examining the possibility of an intelligent massage robot. IROS 1996: 346-353 - [c3]Tatsuo Nohara, Hiroki Tanaka, Hiroshi Ishii, Osamu Miyagashi, Makoto Yamada:
An environment for supporting cooperative operation over multiple networks. NOMS 1996: 105-114 - 1995
- [c2]Kazushige Kakutani, Tsunehito Iwaki, Daizo Takaoka, Makoto Yamada, Kazuyoshi Tsukamoto:
Development of a transfer supporting equipment. IROS (3) 1995: 268-273 - 1993
- [p1]Fumiki Tanaka, Takeshi Kishinami, Makoto Yamada:
Identification of Lathe Alignment Errors by Measuring Machined Parts. Robotics, Mechatronics and Manufacturing Systems 1993: 687-692
1980 – 1989
- 1988
- [c1]Fumio Yasutomi, Makoto Yamada, Kazuyoshi Tsukamoto:
Cleaning robot control. ICRA 1988: 1839-1841
Coauthor Index
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