Kohei Hayashi

According to our database, Kohei Hayashi authored at least 53 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Sampled-Data Circular Path Following Control of Four Wheeled Mobile Robots With Steering Angle Saturation.

Hitoshi Katayama, Kohei Hayashi, Yuya Imamura

IEEE Control. Syst. Lett., 2024

Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity Equation.

Noboru Isobe, Masanori Koyama, Kohei Hayashi, Kenji Fukumizu

CoRR, 2024

CFTM: Continuous time fractional topic model.

Kei Nakagawa, Kohei Hayashi, Yugo Fujimoto

CoRR, 2024

Lf-Net:Generating Fractional Time-Series with Latent Fractional-Net.

Kei Nakagawa, Kohei Hayashi

Proceedings of the International Joint Conference on Neural Networks, 2024

Neural Fourier Transform: A General Approach to Equivariant Representation Learning.

Masanori Koyama, Kenji Fukumizu, Kohei Hayashi, Takeru Miyato

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics.

Kenta Oono, Nontawat Charoenphakdee, Kotatsu Bito, Zhengyan Gao, Yoshiaki Ota, Shoichiro Yamaguchi, Yohei Sugawara, Shin-ichi Maeda, Kunihiko Miyoshi, Yuki Saito, Koki Tsuda, Hiroshi Maruyama, Kohei Hayashi

CoRR, 2023

TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns.

Soma Onishi, Kenta Oono, Kohei Hayashi

CoRR, 2023

Fuzzy Logic Evaluation of Knee Flexion Angle During Gait.

Kohei Hayashi, Risa Harada, Naomi Yagi, Yutaka Hata, Yoshiaki Saji, Yoshitada Sakai

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

Local Contrast Enhancement with Multiscale Filtering.

Kohei Hayashi, Yoshihiro Maeda, Norishige Fukushima

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022

A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective?

Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Time Series Knee Joint Angle Analysis During Gait for Patients with Down Syndrome by 3d Pose Estimation.

Kohei Hayashi, Naomi Yagi, Yutaka Hata, Yoshiaki Saji, Yoshitada Sakai

Proceedings of the International Conference on Machine Learning and Cybernetics, 2022

Scheduling Method for Improving Transmission and Reception Efficiency in IEEE802.15.4 used Heterogeneous Wireless Sensor Networks.

Kohei Hayashi, Rrota Horiuchi, Nobuyoshi Komuro

Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2022

Fractional SDE-Net: Generation of Time Series Data with Long-term Memory.

Kohei Hayashi, Kei Nakagawa

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021

A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training.

Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi

CoRR, 2021

2020

Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks.

Katsuhiko Ishiguro, Kenta Oono, Kohei Hayashi

CoRR, 2020

Testing Proximity to Subspaces: Approximate ℓ _∞ Minimization in Constant Time.

Kohei Hayashi, Yuichi Yoshida

Algorithmica, 2020

On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis.

Kohei Hayashi, Masaaki Imaizumi, Yuichi Yoshida

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

2019

Einconv: Exploring Unexplored Tensor Decompositions for Convolutional Neural Networks.

Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda

CoRR, 2019

Data Interpolating Prediction: Alternative Interpretation of Mixup.

Takuya Shimada, Shoichiro Yamaguchi, Kohei Hayashi, Sosuke Kobayashi

CoRR, 2019

Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks.

Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Think Globally, Embed Locally - Locally Linear Meta-embedding of Words.

Danushka Bollegala, Kohei Hayashi, Ken-ichi Kawarabayashi

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection.

Huda Hakami, Kohei Hayashi, Danushka Bollegala

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach.

Satoshi Hara, Kohei Hayashi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Sparse Bayesian linear regression with latent masking variables.

Yohei Kondo, Kohei Hayashi, Shin-ichi Maeda

Neurocomputing, 2017

An Optimality Proof for the PairDiff operator for Representing Relations between Words.

Huda Hakami, Kohei Hayashi, Danushka Bollegala

CoRR, 2017

On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm.

Masaaki Imaizumi, Takanori Maehara, Kohei Hayashi

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Fitting Low-Rank Tensors in Constant Time.

Kohei Hayashi, Yuichi Yoshida

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

When Does Label Propagation Fail? A View from a Network Generative Model.

Yuto Yamaguchi, Kohei Hayashi

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Tensor Decomposition with Missing Indices.

Yuto Yamaguchi, Kohei Hayashi

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Tensor Decomposition with Smoothness.

Masaaki Imaizumi, Kohei Hayashi

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

A Tractable Fully Bayesian Method for the Stochastic Block Model.

Kohei Hayashi, Takuya Konishi, Tatsuro Kawamoto

CoRR, 2016

Extracting Search Query Patterns via the Pairwise Coupled Topic Model.

Takuya Konishi, Takuya Ohwa, Sumio Fujita, Kazushi Ikeda, Kohei Hayashi

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Minimizing Quadratic Functions in Constant Time.

Kohei Hayashi, Yuichi Yoshida

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Identifying Key Observers to Find Popular Information in Advance.

Takuya Konishi, Tomoharu Iwata, Kohei Hayashi, Ken-ichi Kawarabayashi

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Doubly Decomposing Nonparametric Tensor Regression.

Masaaki Imaizumi, Kohei Hayashi

Proceedings of the 33nd International Conference on Machine Learning, 2016

Expected Tensor Decomposition with Stochastic Gradient Descent.

Takanori Maehara, Kohei Hayashi, Ken-ichi Kawarabayashi

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering.

Kohei Hayashi, Takanori Maehara, Masashi Toyoda, Ken-ichi Kawarabayashi

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood.

Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki

Proceedings of the 32nd International Conference on Machine Learning, 2015

Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias.

Yohei Kondo, Shin-ichi Maeda, Kohei Hayashi

Proceedings of The 7th Asian Conference on Machine Learning, 2015

2013

Factorized Asymptotic Bayesian Inference for Latent Feature Models.

Kohei Hayashi, Ryohei Fujimaki

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Design and implementation of OFDM signal processing on PSoC microcontroller.

Kohei Hayashi, Fumihito Sasamori, Osamu Takyu, Shiro Handa

Proceedings of the International Conference on Information and Communication Technology Convergence, 2013

2012

Self-measuring Similarity for Multi-task Gaussian Process.

Kohei Hayashi, Takashi Takenouchi, Ryota Tomioka, Hisashi Kashima

Proceedings of the Unsupervised and Transfer Learning, 2012

Link Prediction Across Time via Cross-Temporal Locality Preserving Projections.

Satoshi Oyama, Kohei Hayashi, Hisashi Kashima

IEICE Trans. Inf. Syst., 2012

Tensor factorization using auxiliary information.

Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima

Data Min. Knowl. Discov., 2012

Weighted Likelihood Policy Search with Model Selection.

Tsuyoshi Ueno, Kohei Hayashi, Takashi Washio, Yoshinobu Kawahara

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Factorized Asymptotic Bayesian Hidden Markov Models.

Ryohei Fujimaki, Kohei Hayashi

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Exponential family tensor factorization: an online extension and applications.

Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibata, Yuki Kamiya, Daishi Kato, Kazuo Kunieda, Keiji Yamada, Kazushi Ikeda

Knowl. Inf. Syst., 2011

Statistical Performance of Convex Tensor Decomposition.

Ryota Tomioka, Taiji Suzuki, Kohei Hayashi, Hisashi Kashima

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Cross-Temporal Link Prediction.

Satoshi Oyama, Kohei Hayashi, Hisashi Kashima

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection.

Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibata, Yuki Kamiya, Daishi Kato, Kazuo Kunieda, Keiji Yamada, Kazushi Ikeda

Proceedings of the ICDM 2010, 2010

2009

The Lower System, the Upper System and Rules with Stability Factor in Non-deterministic Information Systems.

Hiroshi Sakai, Kohei Hayashi, Michinori Nakata, Dominik Slezak

Proceedings of the Rough Sets, 2009

Dynamic Exponential Family Matrix Factorization.

Kohei Hayashi, Junichiro Hirayama, Shin Ishii

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

2007

Complex-valued Neuron to describe the Dynamics after Hopf Bifurcation: an Example of CPG Model for a Biped Locomotion.

Ikuko Nishikawa, Kohei Hayashi, Kazutoshi Sakakibara

Proceedings of the International Joint Conference on Neural Networks, 2007