Hidetoshi Shimodaira

According to our database, Hidetoshi Shimodaira authored at least 40 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings.

Hiroaki Yamagiwa, Yusuke Takase, Hidetoshi Shimodaira

CoRR, 2024

Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding.

Yihua Zhu, Hidetoshi Shimodaira

CoRR, 2024

3D Rotation and Translation for Hyperbolic Knowledge Graph Embedding.

Yihua Zhu, Hidetoshi Shimodaira

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Knowledge Sanitization of Large Language Models.

Yoichi Ishibashi, Hidetoshi Shimodaira

CoRR, 2023

Improving word mover's distance by leveraging self-attention matrix.

Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Discovering Universal Geometry in Embeddings with ICA.

Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Norm of Word Embedding Encodes Information Gain.

Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

A Hypergraph Approach for Estimating Growth Mechanisms of Complex Networks.

Masaaki Inoue, Thong Pham, Hidetoshi Shimodaira

IEEE Access, 2022

2021

Improving Nonparametric Classification via Local Radial Regression with an Application to Stock Prediction.

Ruixing Cao, Akifumi Okuno, Kei Nakagawa, Hidetoshi Shimodaira

CoRR, 2021

Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings.

Masahiro Naito, Sho Yokoi, Geewook Kim, Hidetoshi Shimodaira

CoRR, 2021

Nonparametric estimation of the preferential attachment function from one network snapshot.

Thong Pham, Paul Sheridan, Hidetoshi Shimodaira

CoRR, 2021

Non-parametric estimation of the preferential attachment function from one network snapshot.

Thong Pham, Paul Sheridan, Hidetoshi Shimodaira

J. Complex Networks, 2021

2020

Hyperlink regression via Bregman divergence.

Akifumi Okuno, Hidetoshi Shimodaira

Neural Networks, 2020

Joint estimation of non-parametric transitivity and preferential attachment functions in scientific co-authorship networks.

Masaaki Inoue, Thong Pham, Hidetoshi Shimodaira

J. Informetrics, 2020

Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization.

Morihiro Mizutani, Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira

CoRR, 2020

Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate.

Akifumi Okuno, Hidetoshi Shimodaira

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

More Powerful Selective Kernel Tests for Feature Selection.

Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

An Information Criterion for Auxiliary Variable Selection in Incomplete Data Analysis.

Shinpei Imori, Hidetoshi Shimodaira

Entropy, 2019

Segmentation-free compositional n-gram embedding.

Geewook Kim, Kazuki Fukui, Hidetoshi Shimodaira

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities.

Geewook Kim, Akifumi Okuno, Kazuki Fukui, Hidetoshi Shimodaira

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Robust Graph Embedding with Noisy Link Weights.

Akifumi Okuno, Hidetoshi Shimodaira

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability.

Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

On representation power of neural network-based graph embedding and beyond.

Akifumi Okuno, Hidetoshi Shimodaira

CoRR, 2018

A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks.

Akifumi Okuno, Tetsuya Hada, Hidetoshi Shimodaira

Proceedings of the 35th International Conference on Machine Learning, 2018

Word-like character n-gram embedding.

Geewook Kim, Kazuki Fukui, Hidetoshi Shimodaira

Proceedings of the 4th Workshop on Noisy User-generated Text, 2018

2017

PAFit: An R Package for Modeling and Estimating Preferential Attachment and Node Fitness in Temporal Complex Networks.

Thong Pham, Paul Sheridan, Hidetoshi Shimodaira

CoRR, 2017

Spectral Graph-Based Method of Multimodal Word Embedding.

Kazuki Fukui, Takamasa Oshikiri, Hidetoshi Shimodaira

Proceedings of TextGraphs@ACL 2017: the 11th Workshop on Graph-based Methods for Natural Language Processing, 2017

2016

Cross-validation of matching correlation analysis by resampling matching weights.

Hidetoshi Shimodaira

Neural Networks, 2016

Image and tag retrieval by leveraging image-group links with multi-domain graph embedding.

Kazuki Fukui, Akifumi Okuno, Hidetoshi Shimodaira

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Cross-Lingual Word Representations via Spectral Graph Embeddings.

Takamasa Oshikiri, Kazuki Fukui, Hidetoshi Shimodaira

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2014

Higher-order accuracy of multiscale-double bootstrap for testing regions.

Hidetoshi Shimodaira

J. Multivar. Anal., 2014

Special issue on Model Selection and High Dimensional Data Reduction.

S. Ejaz Ahmed, Gerda Claeskens, Hidetoshi Shimodaira, Stefan Van Aelst

Comput. Stat. Data Anal., 2014

A simple coding for cross-domain matching with dimension reduction via spectral graph embedding.

Hidetoshi Shimodaira

CoRR, 2014

Nonparametric Estimation of the Preferential Attachment Function in Complex Networks: Evidence of Deviations from Log Linearity.

Thong Pham, Paul Sheridan, Hidetoshi Shimodaira

Proceedings of the 2014 European Conference on Complex Systems, 2014

2011

Multiscale Bagging and Its Applications.

Hidetoshi Shimodaira, Takafumi Kanamori, Masayoshi Aoki, Kouta Mine

IEICE Trans. Inf. Syst., 2011

2010

Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap.

Yusuke Komatsu, Shohei Shimizu, Hidetoshi Shimodaira

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009

On Scale-Free Prior Distributions and Their Applicability in Large-Scale Network Inference with Gaussian Graphical Models.

Paul Sheridan, Takeshi Kamimura, Hidetoshi Shimodaira

Proceedings of the Complex Sciences, 2009

2006

Pvclust: an R package for assessing the uncertainty in hierarchical clustering.

Ryota Suzuki, Hidetoshi Shimodaira

Bioinform., 2006

2004

Parallelization of Phylogenetic Tree Inference Using Grid Technologies.

Yo Yamamoto, Hidemoto Nakada, Hidetoshi Shimodaira, Satoshi Matsuoka

Proceedings of the Grid Computing in Life Science, 2004

2001

CONSEL: for assessing the confidence of phylogenetic tree selection.

Hidetoshi Shimodaira, Masami Hasegawa

Bioinform., 2001