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Kohei Hayashi · SciRah

Researcher profile · Semantic Scholar

Kohei Hayashi

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Kohei Hayashi — researcher profile on SciRah

h-index: 18
Works: 66
Citations: 1,388

Most-cited papers

Estimation of low-rank tensors via convex optimization
Ryota Tomioka, Kohei Hayashi, H. Kashima
2010208 citations
Semantic Scholar
Tensor factorization using auxiliary information
Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, H. Kashima
2011Data mining and knowledge discovery168 citations Open access
Semantic Scholar
Statistical Performance of Convex Tensor Decomposition
Ryota Tomioka, Taiji Suzuki, Kohei Hayashi, H. Kashima
2011Neural Information Processing Systems164 citations
Semantic Scholar
Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach
Satoshi Hara, Kohei Hayashi
2016International Conference on Artificial Intelligence and Statistics100 citations
Semantic Scholar
Making Tree Ensembles Interpretable
Satoshi Hara, Kohei Hayashi
201673 citations
Semantic Scholar
Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks
Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, S. Maeda
2019Neural Information Processing Systems64 citations
Semantic Scholar
Expected Tensor Decomposition with Stochastic Gradient Descent
Takanori Maehara, Kohei Hayashi, K. Kawarabayashi
2016AAAI Conference on Artificial Intelligence49 citations Open access
Semantic Scholar
Think Globally, Embed Locally - Locally Linear Meta-embedding of Words
Danushka Bollegala, Kohei Hayashi, K. Kawarabayashi
2017International Joint Conference on Artificial Intelligence41 citations Open access
Semantic Scholar
Cross-Temporal Link Prediction
S. Oyama, Kohei Hayashi, H. Kashima
20112011 IEEE 11th International Conference on Data Mining41 citations Open access
Semantic Scholar
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm
M. Imaizumi, Takanori Maehara, Kohei Hayashi
2017Neural Information Processing Systems38 citations
Semantic Scholar
On the extension of trace norm to tensors
Ryota Tomioka, Kohei Hayashi, H. Kashima
201037 citations
Semantic Scholar
Tensor Decomposition with Smoothness
M. Imaizumi, Kohei Hayashi
2016International Conference on Machine Learning33 citations
Semantic Scholar
Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering
Kohei Hayashi, Takanori Maehara, Masashi Toyoda, K. Kawarabayashi
2015Knowledge Discovery and Data Mining29 citations
Semantic Scholar
Self-measuring Similarity for Multi-task Gaussian Process
Kohei Hayashi, Takashi Takenouchi, Ryota Tomioka, H. Kashima
2011ICML Unsupervised and Transfer Learning29 citations Open access
Semantic Scholar
Doubly Decomposing Nonparametric Tensor Regression
M. Imaizumi, Kohei Hayashi
2015International Conference on Machine Learning27 citations
Semantic Scholar
Factorized Asymptotic Bayesian Hidden Markov Models
R. Fujimaki, Kohei Hayashi
2012International Conference on Machine Learning24 citations
Semantic Scholar
Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection
Kohei Hayashi, Takashi Takenouchi, T. Shibata, Yuki Kamiya +4 more
20102010 IEEE International Conference on Data Mining22 citations
Semantic Scholar
When Does Label Propagation Fail? A View from a Network Generative Model
Yuto Yamaguchi, Kohei Hayashi
2017International Joint Conference on Artificial Intelligence19 citations Open access
Semantic Scholar
On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis
Kohei Hayashi, M. Imaizumi, Yuichi Yoshida
2019International Conference on Artificial Intelligence and Statistics18 citations
Semantic Scholar
Factorized Asymptotic Bayesian Inference for Latent Feature Models
Kohei Hayashi, R. Fujimaki
2013Neural Information Processing Systems18 citations
Semantic Scholar
400 MHz proton nuclear magnetic resonance studies of the polar headgroup conformation of inositolphospholipids
T. Shibata, J. Uzawa, Y. Sugiura, Kohei Hayashi +1 more
198415 citations
Semantic Scholar
Dynamic Exponential Family Matrix Factorization
Kohei Hayashi, Jun-ichiro Hirayama, Shin Ishii
2009Pacific-Asia Conference on Knowledge Discovery and Data Mining14 citations
Semantic Scholar
Learning linear transformations between counting-based and prediction-based word embeddings
Danushka Bollegala, Kohei Hayashi, K. Kawarabayashi
2017PLoS ONE13 citations Open access
Semantic Scholar
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood
Kohei Hayashi, S. Maeda, R. Fujimaki
2015International Conference on Machine Learning13 citations
Semantic Scholar
A Tractable Fully Bayesian Method for the Stochastic Block Model
Kohei Hayashi, Takuya Konishi, T. Kawamoto
2016arXiv.org12 citations
Semantic Scholar
Exponential family tensor factorization: an online extension and applications
Kohei Hayashi, Takashi Takenouchi, T. Shibata, Yuki Kamiya +4 more
2012Knowledge and Information Systems11 citations Open access
Semantic Scholar
Tensor Decomposition with Missing Indices
Yuto Yamaguchi, Kohei Hayashi
2017International Joint Conference on Artificial Intelligence10 citations Open access
Semantic Scholar
The Lower System, the Upper System and Rules with Stability Factor in Non-deterministic Information Systems
H. Sakai, Kohei Hayashi, M. Nakata, D. Ślȩzak
2009Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing9 citations
Semantic Scholar
Data Interpolating Prediction: Alternative Interpretation of Mixup
Takuya Shimada, Shoichiro Yamaguchi, Kohei Hayashi, Sosuke Kobayashi
2019arXiv.org7 citations
Semantic Scholar
Einconv: Exploring Unexplored Tensor Decompositions for Convolutional Neural Networks
Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, S. Maeda
2019arXiv.org7 citations
Semantic Scholar
Extracting Search Query Patterns via the Pairwise Coupled Topic Model
Takuya Konishi, Takuya Ohwa, Sumio Fujita, K. Ikeda +1 more
2016Web Search and Data Mining7 citations Open access
Semantic Scholar
Minimizing Quadratic Functions in Constant Time
Kohei Hayashi, Yuichi Yoshida
2016Neural Information Processing Systems7 citations
Semantic Scholar
Analysis of Human Pilot Behavior at Landing with Neural Network
Kohei Hayashi, Shinji Suzuki, T. Uemura
20017 citations Open access
Semantic Scholar
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection
Huda Hakami, Kohei Hayashi, Danushka Bollegala
2017International Conference on Computational Linguistics5 citations
Semantic Scholar
Weighted Likelihood Policy Search with Model Selection
Tsuyoshi Ueno, Kohei Hayashi, T. Washio, Y. Kawahara
2012Neural Information Processing Systems5 citations
Semantic Scholar
Link Prediction Across Time via Cross-Temporal Locality Preserving Projections
S. Oyama, Kohei Hayashi, H. Kashima
2012IEICE Trans. Inf. Syst.5 citations Open access
Semantic Scholar
A MATHEMATICAL EXTENSION OF ROUGH SET-BASED ISSUES TOWARD UNCERTAIN INFORMATION ANALYSIS
H. Sakai, Kohei Hayashi, M. Nakata, D. Ślȩzak
20115 citations
Semantic Scholar
Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks
Katsuhiko Ishiguro, K. Oono, Kohei Hayashi
2020arXiv.org4 citations
Semantic Scholar
An Aspect of Decision Making in Rough Non-deterministic Information Analysis
H. Sakai, Kohei Hayashi, Hiroshi Kimura, M. Nakata
20094 citations
Semantic Scholar
Fitting Low-Rank Tensors in Constant Time
Kohei Hayashi, Yuichi Yoshida
2017Neural Information Processing Systems3 citations
Semantic Scholar
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias
Yohei Kondo, S. Maeda, Kohei Hayashi
2015Asian Conference on Machine Learning3 citations
Semantic Scholar
Complex-valued Neuron to describe the Dynamics after Hopf Bifurcation: an Example of CPG Model for a Biped Locomotion
I. Nishikawa, Kohei Hayashi, Kazutoshi Sakakibara
20072007 International Joint Conference on Neural Networks3 citations
Semantic Scholar
Analysis of Human Pilot Behavior at Landing with Neural Network. 2nd Report: Neural Network Structure Construction with GA.
Shinji Suzuki, Kohei Hayashi, T. Uemura
20033 citations Open access
Semantic Scholar
Sparse Bayesian linear regression with latent masking variables
Yohei Kondo, Kohei Hayashi, S. Maeda
2017Neurocomputing2 citations
Semantic Scholar
An Optimality Proof for the PairDiff operator for Representing Relations between Words
Huda Hakami, Kohei Hayashi, Danushka Bollegala
2017arXiv.org2 citations
Semantic Scholar
Identifying Key Observers to Find Popular Information in Advance
Takuya Konishi, Tomoharu Iwata, Kohei Hayashi, K. Kawarabayashi
2016International Joint Conference on Artificial Intelligence2 citations
Semantic Scholar
Running heading title breaks the line Making Tree Ensembles Interpretable : A Bayesian Model Selection Approach – Supplementary Material – A EM Algorithm
Satoshi Hara, Kohei Hayashi
2 citations
Semantic Scholar
MECHANISM OF RESPONSE REDUCTION IN HYBRID CONTROL SYSTEM OF BASE-ISOLATED BUILDING CONNECTED TO FREE-WALL WITH DAMPER
Kohei Hayashi, Eisuke Mitsuda, K. Fujita, M. Tsuji +1 more
20171 citations Open access
Semantic Scholar
A Teaching Material of Sort Algorithm using Augmented Reality
Maiko Shimabuku, Kohei Hayashi, S. Kanemune
20171 citations
Semantic Scholar
Nonparametric Tensor Regression with Low-Rank Decomposition
M. Imaizumi, Kohei Hayashi
20151 citations
Semantic Scholar

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