Hidetoshi Shimodaira

CoRR, 2024

Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings.

[BibT_eX]

[DOI]

CoRR, 2024

Predicting Drug-Gene Relations via Analogy Tasks with Word Embeddings.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Yusuke Takase

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Understanding Higher-Order Correlations Among Semantic Components in Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

[BibT_eX]

[DOI]

Yihua Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

3D Rotation and Translation for Hyperbolic Knowledge Graph Embedding.

[BibT_eX]

[DOI]

Yihua Zhu

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

Shimo Lab at "Discharge Me!": Discharge Summarization by Prompt-Driven Concatenation of Electronic Health Record Sections.

[BibT_eX]

[DOI]

Yunzhen He

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2023

Knowledge Sanitization of Large Language Models.

[BibT_eX]

[DOI]

Yoichi Ishibashi

CoRR, 2023

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

[BibT_eX]

[DOI]

Sho Yokoi

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

Discovering Universal Geometry in Embeddings with ICA.

[BibT_eX]

[DOI]

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

Norm of Word Embedding Encodes Information Gain.

[BibT_eX]

[DOI]

Sho Yokoi

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

2022

A Hypergraph Approach for Estimating Growth Mechanisms of Complex Networks.

[BibT_eX]

[DOI]

Masaaki Inoue

IEEE Access, 2022

2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

J. Complex Networks, 2021

2020

Hyperlink regression via Bregman divergence.

[BibT_eX]

[DOI]

Neural Networks, 2020

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

[BibT_eX]

[DOI]

Masaaki Inoue

J. Informetrics, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2019

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

[BibT_eX]

[DOI]

Shinpei Imori

Entropy, 2019

Segmentation-free compositional n-gram embedding.

[BibT_eX]

[DOI]

Geewook Kim

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.

[BibT_eX]

[DOI]

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

Robust Graph Embedding with Noisy Link Weights.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Geewook Kim

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

2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Tetsuya Hada

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

Word-like character n-gram embedding.

[BibT_eX]

[DOI]

Geewook Kim

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.

[BibT_eX]

[DOI]

CoRR, 2017

Spectral Graph-Based Method of Multimodal Word Embedding.

[BibT_eX]

[DOI]

Takamasa Oshikiri

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.

[BibT_eX]

[DOI]

Neural Networks, 2016

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

[BibT_eX]

[DOI]

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

Cross-Lingual Word Representations via Spectral Graph Embeddings.

[BibT_eX]

[DOI]

Takamasa Oshikiri

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

2014

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

[BibT_eX]

[DOI]

J. Multivar. Anal., 2014

Special issue on Model Selection and High Dimensional Data Reduction.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2014

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

[BibT_eX]

[DOI]

CoRR, 2014

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

[BibT_eX]

[DOI]

Proceedings of the 2014 European Conference on Complex Systems, 2014

2011

Multiscale Bagging and Its Applications.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2011

2010

Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap.

[BibT_eX]

[DOI]

Yusuke Komatsu

Shohei Shimizu

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.

[BibT_eX]

[DOI]

Takeshi Kamimura

Proceedings of the Complex Sciences, 2009

2006

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

[BibT_eX]

[DOI]

Ryota Suzuki

Bioinform., 2006

2004

Parallelization of Phylogenetic Tree Inference Using Grid Technologies.

[BibT_eX]

[DOI]

Proceedings of the Grid Computing in Life Science, 2004

2001

CONSEL: for assessing the confidence of phylogenetic tree selection.

[BibT_eX]

[DOI]