Hidetoshi Shimodaira

80 papers A* 8A 3B 3Journal 50Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Beyond Chains: Bridging Large Language Models and Knowledge Bases in Complex Question Answering. AAAI Yihua Zhu, Qianying Liu, Akiko Aizawa, Hidetoshi Shimodaira
2026	J	`jnl`	Domain Mixture Design via Log-Likelihood Differences for Aligning Language Models with a Target Model. CoRR Ryo Kishino, Riku Shiomi, Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira
2026	J	`jnl`	Language Model Maps for Prompt-Response Distributions via Log-Likelihood Vectors. CoRR Yusuke Takase, Momose Oyama, Hidetoshi Shimodaira
2026	J	`jnl`	Measuring Affinity between Attention-Head Weight Subspaces via the Projection Kernel. CoRR Hiroaki Yamagiwa, Yusuke Takase, Hidetoshi Shimodaira
2026	J	`jnl`	Memorization, Emergence, and Explaining Reversal Failures: A Controlled Study of Relational Semantics in LLMs. CoRR Yihua Zhu, Qianying Liu, Jiaxin Wang, Fei Cheng, Chaoran Liu, Akiko Aizawa, Sadao Kurohashi, Hidetoshi Shimodaira
2025	J	`jnl`	Beyond Chains: Bridging Large Language Models and Knowledge Bases in Complex Question Answering. CoRR Yihua Zhu, Qianying Liu, Akiko Aizawa, Hidetoshi Shimodaira
2025	J	`jnl`	DeLTa: A Decoding Strategy based on Logit Trajectory Prediction Improves Factuality and Reasoning Ability. CoRR Yunzhen He, Yusuke Takase, Yoichi Ishibashi, Hidetoshi Shimodaira
2025	—	`conf`	Likelihood Variance as Text Importance for Resampling Texts to Map Language Models. EMNLP (Findings) Momose Oyama, Ryo Kishino, Hiroaki Yamagiwa, Hidetoshi Shimodaira
2025	J	`jnl`	Likelihood Variance as Text Importance for Resampling Texts to Map Language Models. CoRR Momose Oyama, Ryo Kishino, Hiroaki Yamagiwa, Hidetoshi Shimodaira
2025	—	`conf`	Mapping 1, 000+ Language Models via the Log-Likelihood Vector. ACL (1) Momose Oyama, Hiroaki Yamagiwa, Yusuke Takase, Hidetoshi Shimodaira
2025	J	`jnl`	Mapping 1,000+ Language Models via the Log-Likelihood Vector. CoRR Momose Oyama, Hiroaki Yamagiwa, Yusuke Takase, Hidetoshi Shimodaira
2025	B	`conf`	Norm of Mean Contextualized Embeddings Determines their Variance. COLING Hiroaki Yamagiwa, Hidetoshi Shimodaira
2025	—	`conf`	Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport. ACL (1) Ryo Kishino, Hiroaki Yamagiwa, Ryo Nagata, Sho Yokoi, Hidetoshi Shimodaira
2025	J	`jnl`	Revealing Language Model Trajectories via Kullback-Leibler Divergence. CoRR Ryo Kishino, Yusuke Takase, Momose Oyama, Hiroaki Yamagiwa, Hidetoshi Shimodaira
2025	B	`conf`	Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings. COLING Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira
2024	—	`conf`	3D Rotation and Translation for Hyperbolic Knowledge Graph Embedding. EACL (1) Yihua Zhu, Hidetoshi Shimodaira
2024	—	`conf`	Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings. EMNLP (Findings) Hiroaki Yamagiwa, Yusuke Takase, Hidetoshi Shimodaira
2024	J	`jnl`	Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings. CoRR Hiroaki Yamagiwa, Yusuke Takase, Hidetoshi Shimodaira
2024	—	`conf`	Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding. EMNLP (Findings) Yihua Zhu, Hidetoshi Shimodaira
2024	J	`jnl`	Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding. CoRR Yihua Zhu, Hidetoshi Shimodaira
2024	J	`jnl`	Norm of Mean Contextualized Embeddings Determines their Variance. CoRR Hiroaki Yamagiwa, Hidetoshi Shimodaira
2024	J	`jnl`	Predicting Drug-Gene Relations via Analogy Tasks with Word Embeddings. CoRR Hiroaki Yamagiwa, Ryoma Hashimoto, Kiwamu Arakane, Ken Murakami, Shou Soeda, Momose Oyama, Mariko Okada, Hidetoshi Shimodaira
2024	J	`jnl`	Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport. CoRR Ryo Kishino, Hiroaki Yamagiwa, Ryo Nagata, Sho Yokoi, Hidetoshi Shimodaira
2024	J	`jnl`	Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings. CoRR Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira
2024	—	`conf`	Shimo Lab at "Discharge Me!": Discharge Summarization by Prompt-Driven Concatenation of Electronic Health Record Sections. BioNLP@ACL Yunzhen He, Hiroaki Yamagiwa, Hidetoshi Shimodaira
2024	J	`jnl`	Shimo Lab at "Discharge Me!": Discharge Summarization by Prompt-Driven Concatenation of Electronic Health Record Sections. CoRR Yunzhen He, Hiroaki Yamagiwa, Hidetoshi Shimodaira
2024	A*	`conf`	Understanding Higher-Order Correlations Among Semantic Components in Embeddings. EMNLP Momose Oyama, Hiroaki Yamagiwa, Hidetoshi Shimodaira
2024	J	`jnl`	Understanding Higher-Order Correlations Among Semantic Components in Embeddings. CoRR Momose Oyama, Hiroaki Yamagiwa, Hidetoshi Shimodaira
2024	A*	`conf`	Zipfian Whitening. NeurIPS Sho Yokoi, Han Bao, Hiroto Kurita, Hidetoshi Shimodaira
2024	J	`jnl`	Zipfian Whitening. CoRR Sho Yokoi, Han Bao, Hiroto Kurita, Hidetoshi Shimodaira
2023	J	`jnl`	3D Rotation and Translation for Hyperbolic Knowledge Graph Embedding. CoRR Yihua Zhu, Hidetoshi Shimodaira
2023	A*	`conf`	Discovering Universal Geometry in Embeddings with ICA. EMNLP Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira
2023	J	`jnl`	Discovering Universal Geometry in Embeddings with ICA. CoRR Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira
2023	—	`conf`	Improving word mover's distance by leveraging self-attention matrix. EMNLP (Findings) Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira
2023	J	`jnl`	Knowledge Sanitization of Large Language Models. CoRR Yoichi Ishibashi, Hidetoshi Shimodaira
2023	A*	`conf`	Norm of Word Embedding Encodes Information Gain. EMNLP Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira
2022	J	`jnl`	A Hypergraph Approach for Estimating Growth Mechanisms of Complex Networks. IEEE Access Masaaki Inoue, Thong Pham, Hidetoshi Shimodaira
2022	J	`jnl`	Improving word mover's distance by leveraging self-attention matrix. CoRR Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira
2022	J	`jnl`	Norm of word embedding encodes information gain. CoRR Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira
2021	J	`jnl`	Improving Nonparametric Classification via Local Radial Regression with an Application to Stock Prediction. CoRR Ruixing Cao, Akifumi Okuno, Kei Nakagawa, Hidetoshi Shimodaira
2021	J	`jnl`	Non-parametric estimation of the preferential attachment function from one network snapshot. J. Complex Networks Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
2021	J	`jnl`	Nonparametric estimation of the preferential attachment function from one network snapshot. CoRR Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
2021	J	`jnl`	Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings. CoRR Masahiro Naito, Sho Yokoi, Geewook Kim, Hidetoshi Shimodaira
2020	A*	`conf`	Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate. NeurIPS Akifumi Okuno, Hidetoshi Shimodaira
2020	J	`jnl`	Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate. CoRR Akifumi Okuno, Hidetoshi Shimodaira
2020	J	`jnl`	Hyperlink regression via Bregman divergence. Neural Networks Akifumi Okuno, Hidetoshi Shimodaira
2020	J	`jnl`	Joint estimation of non-parametric transitivity and preferential attachment functions in scientific co-authorship networks. J. Informetrics Masaaki Inoue, Thong Pham, Hidetoshi Shimodaira
2020	A	`conf`	More Powerful Selective Kernel Tests for Feature Selection. AISTATS Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
2020	J	`jnl`	Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization. CoRR Morihiro Mizutani, Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira
2019	J	`jnl`	An Information Criterion for Auxiliary Variable Selection in Incomplete Data Analysis. Entropy Shinpei Imori, Hidetoshi Shimodaira
2019	A	`conf`	Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability. AISTATS Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira
2019	J	`jnl`	Hyperlink Regression via Bregman Divergence. CoRR Akifumi Okuno, Hidetoshi Shimodaira
2019	J	`jnl`	Joint Estimation of the Non-parametric Transitivity and Preferential Attachment Functions in Scientific Co-authorship Networks. CoRR Masaaki Inoue, Thong Pham, Hidetoshi Shimodaira
2019	J	`jnl`	More Powerful Selective Kernel Tests for Feature Selection. CoRR Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
2019	A*	`conf`	Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities. IJCAI Geewook Kim, Akifumi Okuno, Kazuki Fukui, Hidetoshi Shimodaira
2019	J	`jnl`	Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities. CoRR Geewook Kim, Akifumi Okuno, Kazuki Fukui, Hidetoshi Shimodaira
2019	A	`conf`	Robust Graph Embedding with Noisy Link Weights. AISTATS Akifumi Okuno, Hidetoshi Shimodaira
2019	J	`jnl`	Robust Graph Embedding with Noisy Link Weights. CoRR Akifumi Okuno, Hidetoshi Shimodaira
2019	—	`conf`	Segmentation-free compositional n-gram embedding. NAACL-HLT (1) Geewook Kim, Kazuki Fukui, Hidetoshi Shimodaira
2018	A*	`conf`	A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks. ICML Akifumi Okuno, Tetsuya Hada, Hidetoshi Shimodaira
2018	J	`jnl`	Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability. CoRR Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira
2018	J	`jnl`	On representation power of neural network-based graph embedding and beyond. CoRR Akifumi Okuno, Hidetoshi Shimodaira
2018	J	`jnl`	Segmentation-free compositional n-gram embedding. CoRR Geewook Kim, Kazuki Fukui, Hidetoshi Shimodaira
2018	—	`conf`	Word-like character n-gram embedding. NUT@EMNLP Geewook Kim, Kazuki Fukui, Hidetoshi Shimodaira
2017	J	`jnl`	PAFit: An R Package for Modeling and Estimating Preferential Attachment and Node Fitness in Temporal Complex Networks. CoRR Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
2017	—	`conf`	Spectral Graph-Based Method of Multimodal Word Embedding. TextGraphs@ACL Kazuki Fukui, Takamasa Oshikiri, Hidetoshi Shimodaira
2016	—	`conf`	Cross-Lingual Word Representations via Spectral Graph Embeddings. ACL (2) Takamasa Oshikiri, Kazuki Fukui, Hidetoshi Shimodaira
2016	J	`jnl`	Cross-validation of matching correlation analysis by resampling matching weights. Neural Networks Hidetoshi Shimodaira
2016	B	`conf`	Image and tag retrieval by leveraging image-group links with multi-domain graph embedding. ICIP Kazuki Fukui, Akifumi Okuno, Hidetoshi Shimodaira
2015	J	`jnl`	Cross-validation of matching correlation analysis by resampling matching weights. CoRR Hidetoshi Shimodaira
2014	J	`jnl`	A simple coding for cross-domain matching with dimension reduction via spectral graph embedding. CoRR Hidetoshi Shimodaira
2014	J	`jnl`	Higher-order accuracy of multiscale-double bootstrap for testing regions. J. Multivar. Anal. Hidetoshi Shimodaira
2014	—	`conf`	Nonparametric Estimation of the Preferential Attachment Function in Complex Networks: Evidence of Deviations from Log Linearity. ECCS Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
2014	J	`jnl`	Special issue on Model Selection and High Dimensional Data Reduction. Comput. Stat. Data Anal. S. Ejaz Ahmed, Gerda Claeskens, Hidetoshi Shimodaira, Stefan Van Aelst
2011	J	`jnl`	Multiscale Bagging and Its Applications. IEICE Trans. Inf. Syst. Hidetoshi Shimodaira, Takafumi Kanamori, Masayoshi Aoki, Kouta Mine
2010	—	`conf`	Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap. ICANN (3) Yusuke Komatsu, Shohei Shimizu, Hidetoshi Shimodaira
2009	—	`conf`	On Scale-Free Prior Distributions and Their Applicability in Large-Scale Network Inference with Gaussian Graphical Models. Complex (1) Paul Sheridan, Takeshi Kamimura, Hidetoshi Shimodaira
2006	J	`jnl`	Pvclust: an R package for assessing the uncertainty in hierarchical clustering. Bioinform. Ryota Suzuki, Hidetoshi Shimodaira
2004	—	`conf`	Parallelization of Phylogenetic Tree Inference Using Grid Technologies. LSGRID Yo Yamamoto, Hidemoto Nakada, Hidetoshi Shimodaira, Satoshi Matsuoka
2001	J	`jnl`	CONSEL: for assessing the confidence of phylogenetic tree selection. Bioinform. Hidetoshi Shimodaira, Masami Hasegawa