Hidetoshi Shimodaira

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 46

Top Topics

Preferential Attachment

Joint Estimation

Graph Embedding

Complex Networks

Top Venues

Neural Networks

Publications

Yihua Zhu, Hidetoshi Shimodaira
3D Rotation and Translation for Hyperbolic Knowledge Graph Embedding. EACL (1) (2024)
Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira
Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings. CoRR (2024)
Yihua Zhu, Hidetoshi Shimodaira
Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding. CoRR (2024)
Yunzhen He, Hiroaki Yamagiwa, Hidetoshi Shimodaira
Shimo Lab at "Discharge Me!": Discharge Summarization by Prompt-Driven Concatenation of Electronic Health Record Sections. CoRR (2024)
Hiroaki Yamagiwa, Ryoma Hashimoto, Kiwamu Arakane, Ken Murakami, Shou Soeda, Momose Oyama, Mariko Okada, Hidetoshi Shimodaira
Predicting Drug-Gene Relations via Analogy Tasks with Word Embeddings. CoRR (2024)
Hiroaki Yamagiwa, Yusuke Takase, Hidetoshi Shimodaira
Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings. CoRR (2024)
Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira
Improving word mover's distance by leveraging self-attention matrix. EMNLP (Findings) (2023)
Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira
Discovering Universal Geometry in Embeddings with ICA. CoRR (2023)
Yoichi Ishibashi, Hidetoshi Shimodaira
Knowledge Sanitization of Large Language Models. CoRR (2023)
Yihua Zhu, Hidetoshi Shimodaira
3D Rotation and Translation for Hyperbolic Knowledge Graph Embedding. CoRR (2023)
Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira
Discovering Universal Geometry in Embeddings with ICA. EMNLP (2023)
Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira
Norm of Word Embedding Encodes Information Gain. EMNLP (2023)
Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira
Norm of word embedding encodes information gain. CoRR (2022)
Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira
Improving word mover's distance by leveraging self-attention matrix. CoRR (2022)
Masaaki Inoue, Thong Pham, Hidetoshi Shimodaira
A Hypergraph Approach for Estimating Growth Mechanisms of Complex Networks. IEEE Access 10 (2022)
Masahiro Naito, Sho Yokoi, Geewook Kim, Hidetoshi Shimodaira
Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings. CoRR (2021)
Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
Nonparametric estimation of the preferential attachment function from one network snapshot. CoRR (2021)
Ruixing Cao, Akifumi Okuno, Kei Nakagawa, Hidetoshi Shimodaira
Improving Nonparametric Classification via Local Radial Regression with an Application to Stock Prediction. CoRR (2021)
Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
Non-parametric estimation of the preferential attachment function from one network snapshot. J. Complex Networks 9 (5) (2021)
Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
More Powerful Selective Kernel Tests for Feature Selection. AISTATS (2020)
Akifumi Okuno, Hidetoshi Shimodaira
Hyperlink regression via Bregman divergence. Neural Networks 126 (2020)
Morihiro Mizutani, Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira
Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization. CoRR (2020)
Masaaki Inoue, Thong Pham, Hidetoshi Shimodaira
Joint estimation of non-parametric transitivity and preferential attachment functions in scientific co-authorship networks. J. Informetrics 14 (3) (2020)
Akifumi Okuno, Hidetoshi Shimodaira
Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate. CoRR (2020)
Akifumi Okuno, Hidetoshi Shimodaira
Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate. NeurIPS (2020)
Masaaki Inoue, Thong Pham, Hidetoshi Shimodaira
Joint Estimation of the Non-parametric Transitivity and Preferential Attachment Functions in Scientific Co-authorship Networks. CoRR (2019)
Geewook Kim, Kazuki Fukui, Hidetoshi Shimodaira
Segmentation-free compositional n-gram embedding. NAACL-HLT (1) (2019)
Shinpei Imori, Hidetoshi Shimodaira
An Information Criterion for Auxiliary Variable Selection in Incomplete Data Analysis. Entropy 21 (3) (2019)
Akifumi Okuno, Hidetoshi Shimodaira
Robust Graph Embedding with Noisy Link Weights. CoRR (2019)
Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability. AISTATS (2019)
Akifumi Okuno, Hidetoshi Shimodaira
Robust Graph Embedding with Noisy Link Weights. AISTATS (2019)
Geewook Kim, Akifumi Okuno, Kazuki Fukui, Hidetoshi Shimodaira
Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities. CoRR (2019)
Akifumi Okuno, Hidetoshi Shimodaira
Hyperlink Regression via Bregman Divergence. CoRR (2019)
Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
More Powerful Selective Kernel Tests for Feature Selection. CoRR (2019)
Geewook Kim, Akifumi Okuno, Kazuki Fukui, Hidetoshi Shimodaira
Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities. IJCAI (2019)
Geewook Kim, Kazuki Fukui, Hidetoshi Shimodaira
Word-like character n-gram embedding. NUT@EMNLP (2018)
Geewook Kim, Kazuki Fukui, Hidetoshi Shimodaira
Segmentation-free compositional n-gram embedding. CoRR (2018)
Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability. CoRR (2018)
Akifumi Okuno, Hidetoshi Shimodaira
On representation power of neural network-based graph embedding and beyond. CoRR (2018)
Akifumi Okuno, Tetsuya Hada, Hidetoshi Shimodaira
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks. ICML (2018)
Kazuki Fukui, Takamasa Oshikiri, Hidetoshi Shimodaira
Spectral Graph-Based Method of Multimodal Word Embedding. TextGraphs@ACL (2017)
Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
PAFit: An R Package for Modeling and Estimating Preferential Attachment and Node Fitness in Temporal Complex Networks. CoRR (2017)
Kazuki Fukui, Akifumi Okuno, Hidetoshi Shimodaira
Image and tag retrieval by leveraging image-group links with multi-domain graph embedding. ICIP (2016)
Hidetoshi Shimodaira
Cross-validation of matching correlation analysis by resampling matching weights. Neural Networks 75 (2016)
Takamasa Oshikiri, Kazuki Fukui, Hidetoshi Shimodaira
Cross-Lingual Word Representations via Spectral Graph Embeddings. ACL (2) (2016)
Hidetoshi Shimodaira
Cross-validation of matching correlation analysis by resampling matching weights. CoRR (2015)
Hidetoshi Shimodaira
Higher-order accuracy of multiscale-double bootstrap for testing regions. J. Multivar. Anal. 130 (2014)
S. Ejaz Ahmed, Gerda Claeskens, Hidetoshi Shimodaira, Stefan Van Aelst
Special issue on Model Selection and High Dimensional Data Reduction. Comput. Stat. Data Anal. 71 (2014)
Hidetoshi Shimodaira
A simple coding for cross-domain matching with dimension reduction via spectral graph embedding. CoRR (2014)
Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
Nonparametric Estimation of the Preferential Attachment Function in Complex Networks: Evidence of Deviations from Log Linearity. ECCS (2014)
Hidetoshi Shimodaira, Takafumi Kanamori, Masayoshi Aoki, Kouta Mine
Multiscale Bagging and Its Applications. IEICE Trans. Inf. Syst. (10) (2011)
Yusuke Komatsu, Shohei Shimizu, Hidetoshi Shimodaira
Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap. ICANN (3) (2010)
Paul Sheridan, Takeshi Kamimura, Hidetoshi Shimodaira
On Scale-Free Prior Distributions and Their Applicability in Large-Scale Network Inference with Gaussian Graphical Models. Complex (1) (2009)
Ryota Suzuki, Hidetoshi Shimodaira
Pvclust: an R package for assessing the uncertainty in hierarchical clustering. Bioinform. 22 (12) (2006)
Yo Yamamoto, Hidemoto Nakada, Hidetoshi Shimodaira, Satoshi Matsuoka
Parallelization of Phylogenetic Tree Inference Using Grid Technologies. LSGRID (2004)
Hidetoshi Shimodaira, Masami Hasegawa
CONSEL: for assessing the confidence of phylogenetic tree selection. Bioinform. 17 (12) (2001)