Kohei Hayashi

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 40

Top Topics

Tensor Decomposition

Bayesian Model Selection

Convolutional Neural Networks

Top Venues

Publications

Kei Nakagawa, Kohei Hayashi, Yugo Fujimoto
CFTM: Continuous time fractional topic model. CoRR (2024)
Masanori Koyama, Kenji Fukumizu, Kohei Hayashi, Takeru Miyato
Neural Fourier Transform: A General Approach to Equivariant Representation Learning. ICLR (2024)
Hitoshi Katayama, Kohei Hayashi, Yuya Imamura
Sampled-Data Circular Path Following Control of Four Wheeled Mobile Robots With Steering Angle Saturation. IEEE Control. Syst. Lett. 8 (2024)
Noboru Isobe, Masanori Koyama, Kohei Hayashi, Kenji Fukumizu
Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity Equation. CoRR (2024)
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
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics. CoRR (2023)
Soma Onishi, Kenta Oono, Kohei Hayashi
TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns. CoRR (2023)
Kohei Hayashi, Yoshihiro Maeda, Norishige Fukushima
Local Contrast Enhancement with Multiscale Filtering. APSIPA ASC (2023)
Masanori Koyama, Kenji Fukumizu, Kohei Hayashi, Takeru Miyato
Neural Fourier Transform: A General Approach to Equivariant Representation Learning. CoRR (2023)
Kohei Hayashi, Risa Harada, Naomiyagi, Yutaka Hata, Yoshiaki Saji, Yoshitada Sakai
Fuzzy Logic Evaluation of Knee Flexion Angle During Gait. ICMLC (2023)
Kohei Hayashi, Kei Nakagawa
Fractional SDE-Net: Generation of Time Series Data with Long-term Memory. CoRR (2022)
Kohei Hayashi, Rrota Horiuchi, Nobuyoshi Komuro
Scheduling Method for Improving Transmission and Reception Efficiency in IEEE802.15.4 used Heterogeneous Wireless Sensor Networks. ICCE-TW (2022)
Kohei Hayashi, Kei Nakagawa
Fractional SDE-Net: Generation of Time Series Data with Long-term Memory. DSAA (2022)
Kohei Hayashi, Naomi Yagi, Yutaka Hata, Yoshiaki Saji, Yoshitada Sakai
Time Series Knee Joint Angle Analysis During Gait for Patients with Down Syndrome by 3d Pose Estimation. ICMLC (2022)
Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi
A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective? ECML/PKDD (3) (2022)
Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi
A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training. CoRR (2021)
Kohei Hayashi, Yuichi Yoshida
Minimization in Constant Time. Algorithmica 82 (5) (2020)
Kohei Hayashi, Masaaki Imaizumi, Yuichi Yoshida
On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis. AISTATS (2020)
Katsuhiko Ishiguro, Kenta Oono, Kohei Hayashi
Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks. CoRR (2020)
Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda
Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks. NeurIPS (2019)
Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda
Einconv: Exploring Unexplored Tensor Decompositions for Convolutional Neural Networks. CoRR (2019)
Takuya Shimada, Shoichiro Yamaguchi, Kohei Hayashi, Sosuke Kobayashi
Data Interpolating Prediction: Alternative Interpretation of Mixup. CoRR (2019)
Kohei Hayashi, Masaaki Imaizumi, Yuichi Yoshida
On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis. CoRR (2019)
Danushka Bollegala, Kohei Hayashi, Ken-ichi Kawarabayashi
Think Globally, Embed Locally - Locally Linear Meta-embedding of Words. IJCAI (2018)
Satoshi Hara, Kohei Hayashi
Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach. AISTATS (2018)
Huda Hakami, Kohei Hayashi, Danushka Bollegala
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection. COLING (2018)
Danushka Bollegala, Kohei Hayashi, Ken-ichi Kawarabayashi
Think Globally, Embed Locally - Locally Linear Meta-embedding of Words. CoRR (2017)
Yuto Yamaguchi, Kohei Hayashi
When Does Label Propagation Fail? A View from a Network Generative Model. IJCAI (2017)
Yuto Yamaguchi, Kohei Hayashi
Tensor Decomposition with Missing Indices. IJCAI (2017)
Masaaki Imaizumi, Takanori Maehara, Kohei Hayashi
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm. NIPS (2017)
Masaaki Imaizumi, Kohei Hayashi
Tensor Decomposition with Smoothness. ICML (2017)
Kohei Hayashi, Yuichi Yoshida
Fitting Low-Rank Tensors in Constant Time. NIPS (2017)
Huda Hakami, Kohei Hayashi, Danushka Bollegala
An Optimality Proof for the PairDiff operator for Representing Relations between Words. CoRR (2017)
Yohei Kondo, Kohei Hayashi, Shin-ichi Maeda
Sparse Bayesian linear regression with latent masking variables. Neurocomputing 258 (2017)
Takuya Konishi, Takuya Ohwa, Sumio Fujita, Kazushi Ikeda, Kohei Hayashi
Extracting Search Query Patterns via the Pairwise Coupled Topic Model. WSDM (2016)
Kohei Hayashi, Takuya Konishi, Tatsuro Kawamoto
A Tractable Fully Bayesian Method for the Stochastic Block Model. CoRR (2016)
Masaaki Imaizumi, Kohei Hayashi
Doubly Decomposing Nonparametric Tensor Regression. ICML (2016)
Kohei Hayashi, Yuichi Yoshida
Minimizing Quadratic Functions in Constant Time. NIPS (2016)
Takuya Konishi, Tomoharu Iwata, Kohei Hayashi, Ken-ichi Kawarabayashi
Identifying Key Observers to Find Popular Information in Advance. IJCAI (2016)
Takanori Maehara, Kohei Hayashi, Ken-ichi Kawarabayashi
Expected Tensor Decomposition with Stochastic Gradient Descent. AAAI (2016)
Kohei Hayashi, Yuichi Yoshida
Minimizing Quadratic Functions in Constant Time. CoRR (2016)
Yohei Kondo, Kohei Hayashi, Shin-ichi Maeda
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias. CoRR (2015)
Yohei Kondo, Shin-ichi Maeda, Kohei Hayashi
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias. ACML (2015)
Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood. ICML (2015)
Kohei Hayashi, Takanori Maehara, Masashi Toyoda, Ken-ichi Kawarabayashi
Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering. KDD (2015)
Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood. CoRR (2015)
Kohei Hayashi, Ryohei Fujimaki
Factorized Asymptotic Bayesian Inference for Latent Feature Models. NIPS (2013)
Kohei Hayashi, Fumihito Sasamori, Osamu Takyu, Shiro Handa
Design and implementation of OFDM signal processing on PSoC microcontroller. ICTC (2013)
Ryohei Fujimaki, Kohei Hayashi
Factorized Asymptotic Bayesian Hidden Markov Models. ICML (2012)
Kohei Hayashi, Takashi Takenouchi, Ryota Tomioka, Hisashi Kashima
Self-measuring Similarity for Multi-task Gaussian Process. ICML Unsupervised and Transfer Learning (2012)
Tsuyoshi Ueno, Kohei Hayashi, Takashi Washio, Yoshinobu Kawahara
Weighted Likelihood Policy Search with Model Selection. NIPS (2012)
Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima
Tensor factorization using auxiliary information. Data Min. Knowl. Discov. 25 (2) (2012)
Satoshi Oyama, Kohei Hayashi, Hisashi Kashima
Link Prediction Across Time via Cross-Temporal Locality Preserving Projections. IEICE Trans. Inf. Syst. (11) (2012)
Ryohei Fujimaki, Kohei Hayashi
Factorized Asymptotic Bayesian Hidden Markov Models CoRR (2012)
Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima
Tensor Factorization Using Auxiliary Information. ECML/PKDD (2) (2011)
Satoshi Oyama, Kohei Hayashi, Hisashi Kashima
Cross-Temporal Link Prediction. ICDM (2011)
Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibata, Yuki Kamiya, Daishi Kato, Kazuo Kunieda, Keiji Yamada, Kazushi Ikeda
Exponential family tensor factorization: an online extension and applications. Knowl. Inf. Syst. 33 (1) (2011)
Ryota Tomioka, Taiji Suzuki, Kohei Hayashi, Hisashi Kashima
Statistical Performance of Convex Tensor Decomposition. NIPS (2011)
Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibata, Yuki Kamiya, Daishi Kato, Kazuo Kunieda, Keiji Yamada, Kazushi Ikeda
Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection. ICDM (2010)
Hiroshi Sakai, Kohei Hayashi, Michinori Nakata, Dominik Slezak
The Lower System, the Upper System and Rules with Stability Factor in Non-deterministic Information Systems. RSFDGrC (2009)
Kohei Hayashi, Junichiro Hirayama, Shin Ishii
Dynamic Exponential Family Matrix Factorization. PAKDD (2009)
Ikuko Nishikawa, Kohei Hayashi, Kazutoshi Sakakibara
Complex-valued Neuron to describe the Dynamics after Hopf Bifurcation: an Example of CPG Model for a Biped Locomotion. IJCNN (2007)