default search action
Hidetoshi Shimodaira
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c23]Yunzhen He, Hiroaki Yamagiwa, Hidetoshi Shimodaira:
Shimo Lab at "Discharge Me!": Discharge Summarization by Prompt-Driven Concatenation of Electronic Health Record Sections. BioNLP@ACL 2024: 645-657 - [c22]Yihua Zhu, Hidetoshi Shimodaira:
3D Rotation and Translation for Hyperbolic Knowledge Graph Embedding. EACL (1) 2024: 1497-1515 - [c21]Hiroaki Yamagiwa, Yusuke Takase, Hidetoshi Shimodaira:
Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings. EMNLP (Findings) 2024: 477-506 - [c20]Momose Oyama, Hiroaki Yamagiwa, Hidetoshi Shimodaira:
Understanding Higher-Order Correlations Among Semantic Components in Embeddings. EMNLP 2024: 2883-2899 - [c19]Yihua Zhu, Hidetoshi Shimodaira:
Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding. EMNLP (Findings) 2024: 16956-16972 - [i29]Yihua Zhu, Hidetoshi Shimodaira
:
Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding. CoRR abs/2401.05967 (2024) - [i28]Hiroaki Yamagiwa, Yusuke Takase, Hidetoshi Shimodaira
Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings. CoRR abs/2401.06112 (2024) - [i27]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 abs/2406.00984 (2024) - [i26]Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira
Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings. CoRR abs/2406.10984 (2024) - [i25]Yunzhen He, Hiroaki Yamagiwa, Hidetoshi Shimodaira
Shimo Lab at "Discharge Me!": Discharge Summarization by Prompt-Driven Concatenation of Electronic Health Record Sections. CoRR abs/2406.18094 (2024) - [i24]Hiroaki Yamagiwa, Hidetoshi Shimodaira:
Norm of Mean Contextualized Embeddings Determines their Variance. CoRR abs/2409.11253 (2024) - [i23]Momose Oyama, Hiroaki Yamagiwa, Hidetoshi Shimodaira:
Understanding Higher-Order Correlations Among Semantic Components in Embeddings. CoRR abs/2409.19919 (2024) - [i22]Sho Yokoi, Han Bao, Hiroto Kurita, Hidetoshi Shimodaira:
Zipfian Whitening. CoRR abs/2411.00680 (2024) - 2023
- [c18]Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira:
Norm of Word Embedding Encodes Information Gain. EMNLP 2023: 2108-2130 - [c17]Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira:
Discovering Universal Geometry in Embeddings with ICA. EMNLP 2023: 4647-4675 - [c16]Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira:
Improving word mover's distance by leveraging self-attention matrix. EMNLP (Findings) 2023: 11160-11183 - [i21]Yihua Zhu, Hidetoshi Shimodaira
3D Rotation and Translation for Hyperbolic Knowledge Graph Embedding. CoRR abs/2305.13015 (2023) - [i20]Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira
Discovering Universal Geometry in Embeddings with ICA. CoRR abs/2305.13175 (2023) - [i19]Yoichi Ishibashi, Hidetoshi Shimodaira
Knowledge Sanitization of Large Language Models. CoRR abs/2309.11852 (2023) - 2022
- [j11]Masaaki Inoue
A Hypergraph Approach for Estimating Growth Mechanisms of Complex Networks. IEEE Access 10: 35012-35025 (2022) - [i18]Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira
Improving word mover's distance by leveraging self-attention matrix. CoRR abs/2211.06229 (2022) - [i17]Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira
Norm of word embedding encodes information gain. CoRR abs/2212.09663 (2022) - 2021
- [j10]Thong Pham
Non-parametric estimation of the preferential attachment function from one network snapshot. J. Complex Networks 9(5) (2021) - [i16]Thong Pham, Paul Sheridan, Hidetoshi Shimodaira:
Nonparametric estimation of the preferential attachment function from one network snapshot. CoRR abs/2103.01750 (2021) - [i15]Masahiro Naito, Sho Yokoi, Geewook Kim, Hidetoshi Shimodaira:
Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings. CoRR abs/2105.08585 (2021) - [i14]Ruixing Cao, Akifumi Okuno, Kei Nakagawa, Hidetoshi Shimodaira:
Improving Nonparametric Classification via Local Radial Regression with an Application to Stock Prediction. CoRR abs/2112.13951 (2021) - 2020
- [j9]Masaaki Inoue
Joint estimation of non-parametric transitivity and preferential attachment functions in scientific co-authorship networks. J. Informetrics 14(3): 101042 (2020) - [j8]Akifumi Okuno
Hyperlink regression via Bregman divergence. Neural Networks 126: 362-383 (2020) - [c15]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 - [c14]Akifumi Okuno, Hidetoshi Shimodaira:
Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate. NeurIPS 2020 - [i13]Akifumi Okuno, Hidetoshi Shimodaira:
Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate. CoRR abs/2002.03054 (2020) - [i12]Morihiro Mizutani, Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira:
Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization. CoRR abs/2005.00670 (2020)
2010 – 2019
- 2019
- [j7]Shinpei Imori, Hidetoshi Shimodaira
An Information Criterion for Auxiliary Variable Selection in Incomplete Data Analysis. Entropy 21(3): 281 (2019) - [c13]Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira:
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability. AISTATS 2019: 644-653 - [c12]Akifumi Okuno, Hidetoshi Shimodaira:
Robust Graph Embedding with Noisy Link Weights. AISTATS 2019: 664-673 - [c11]Geewook Kim, Akifumi Okuno, Kazuki Fukui, Hidetoshi Shimodaira
Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities. IJCAI 2019: 5031-5038 - [c10]Geewook Kim, Kazuki Fukui, Hidetoshi Shimodaira:
Segmentation-free compositional n-gram embedding. NAACL-HLT (1) 2019: 3207-3215 - [i11]Akifumi Okuno, Hidetoshi Shimodaira:
Robust Graph Embedding with Noisy Link Weights. CoRR abs/1902.08440 (2019) - [i10]Geewook Kim, Akifumi Okuno, Kazuki Fukui, Hidetoshi Shimodaira:
Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities. CoRR abs/1902.10409 (2019) - [i9]Akifumi Okuno, Hidetoshi Shimodaira:
Hyperlink Regression via Bregman Divergence. CoRR abs/1908.02573 (2019) - [i8]Masaaki Inoue, Thong Pham, Hidetoshi Shimodaira:
Joint Estimation of the Non-parametric Transitivity and Preferential Attachment Functions in Scientific Co-authorship Networks. CoRR abs/1910.00213 (2019) - [i7]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) - 2018
- [c9]Geewook Kim, Kazuki Fukui, Hidetoshi Shimodaira:
Word-like character n-gram embedding. NUT@EMNLP 2018: 148-152 - [c8]Akifumi Okuno, Tetsuya Hada, Hidetoshi Shimodaira:
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks. ICML 2018: 3885-3894 - [i6]Akifumi Okuno, Hidetoshi Shimodaira:
On representation power of neural network-based graph embedding and beyond. CoRR abs/1805.12332 (2018) - [i5]Geewook Kim, Kazuki Fukui, Hidetoshi Shimodaira:
Segmentation-free compositional n-gram embedding. CoRR abs/1809.00918 (2018) - [i4]Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira:
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability. CoRR abs/1810.03463 (2018) - 2017
- [c7]Kazuki Fukui, Takamasa Oshikiri, Hidetoshi Shimodaira:
Spectral Graph-Based Method of Multimodal Word Embedding. TextGraphs@ACL 2017: 39-44 - [i3]Thong Pham, Paul Sheridan, Hidetoshi Shimodaira:
PAFit: An R Package for Modeling and Estimating Preferential Attachment and Node Fitness in Temporal Complex Networks. CoRR abs/1704.06017 (2017) - 2016
- [j6]Hidetoshi Shimodaira
Cross-validation of matching correlation analysis by resampling matching weights. Neural Networks 75: 126-140 (2016) - [c6]Takamasa Oshikiri, Kazuki Fukui, Hidetoshi Shimodaira:
Cross-Lingual Word Representations via Spectral Graph Embeddings. ACL (2) 2016 - [c5]Kazuki Fukui, Akifumi Okuno, Hidetoshi Shimodaira
Image and tag retrieval by leveraging image-group links with multi-domain graph embedding. ICIP 2016: 221-225 - 2015
- [i2]Hidetoshi Shimodaira:
Cross-validation of matching correlation analysis by resampling matching weights. CoRR abs/1503.08471 (2015) - 2014
- [j5]S. Ejaz Ahmed, Gerda Claeskens
Special issue on Model Selection and High Dimensional Data Reduction. Comput. Stat. Data Anal. 71: 652-653 (2014) - [j4]Hidetoshi Shimodaira
Higher-order accuracy of multiscale-double bootstrap for testing regions. J. Multivar. Anal. 130: 208-223 (2014) - [c4]Thong Pham
Nonparametric Estimation of the Preferential Attachment Function in Complex Networks: Evidence of Deviations from Log Linearity. ECCS 2014: 141-153 - [i1]Hidetoshi Shimodaira:
A simple coding for cross-domain matching with dimension reduction via spectral graph embedding. CoRR abs/1412.8380 (2014) - 2011
- [j3]Hidetoshi Shimodaira
Multiscale Bagging and Its Applications. IEICE Trans. Inf. Syst. 94-D(10): 1924-1932 (2011) - 2010
- [c3]Yusuke Komatsu, Shohei Shimizu
Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap. ICANN (3) 2010: 309-314
2000 – 2009
- 2009
- [c2]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: 110-117 - 2006
- [j2]Ryota Suzuki
Pvclust: an R package for assessing the uncertainty in hierarchical clustering. Bioinform. 22(12): 1540-1542 (2006) - 2004
- [c1]Yo Yamamoto, Hidemoto Nakada, Hidetoshi Shimodaira, Satoshi Matsuoka:
Parallelization of Phylogenetic Tree Inference Using Grid Technologies. LSGRID 2004: 103-116 - 2001
- [j1]Hidetoshi Shimodaira, Masami Hasegawa:
CONSEL: for assessing the confidence of phylogenetic tree selection. Bioinform. 17(12): 1246-1247 (2001)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-12 20:56 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: