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 (IJCNN, 2007)

Dynamic Exponential Family Matrix Factorization. - Kohei Hayashi; Junichiro Hirayama; Shin Ishii (PAKDD, 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 (RSFDGrC, 2009)

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 (ICDM, 2010)

Cross-Temporal Link Prediction. - Satoshi Oyama; Kohei Hayashi; Hisashi Kashima (ICDM, 2011)

Statistical Performance of Convex Tensor Decomposition. - Ryota Tomioka; Taiji Suzuki; Kohei Hayashi; Hisashi Kashima (NIPS, 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)

Factorized Asymptotic Bayesian Hidden Markov Models. - Ryohei Fujimaki; Kohei Hayashi (ICML, 2012)

Weighted Likelihood Policy Search with Model Selection. - Tsuyoshi Ueno; Kohei Hayashi; Takashi Washio; Yoshinobu Kawahara (NIPS, 2012)

Tensor factorization using auxiliary information. - Atsuhiro Narita; Kohei Hayashi; Ryota Tomioka; Hisashi Kashima (Data Min. Knowl. Discov., 2012)

Link Prediction Across Time via Cross-Temporal Locality Preserving Projections. - Satoshi Oyama; Kohei Hayashi; Hisashi Kashima (IEICE Trans. Inf. Syst., 2012)

Self-measuring Similarity for Multi-task Gaussian Process. - Kohei Hayashi; Takashi Takenouchi; Ryota Tomioka; Hisashi Kashima (ICML Unsupervised and Transfer Learning, 2012)

Design and implementation of OFDM signal processing on PSoC microcontroller. - Kohei Hayashi; Fumihito Sasamori; Osamu Takyu; Shiro Handa (ICTC, 2013)

Factorized Asymptotic Bayesian Inference for Latent Feature Models. - Kohei Hayashi; Ryohei Fujimaki (NIPS, 2013)

Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias. - Yohei Kondo; Shin-ichi Maeda; Kohei Hayashi (ACML, 2015)

Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood. - Kohei Hayashi; Shin-ichi Maeda; Ryohei Fujimaki (ICML, 2015)

Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering. - Kohei Hayashi; Takanori Maehara; Masashi Toyoda; Ken-ichi Kawarabayashi (KDD, 2015)

Expected Tensor Decomposition with Stochastic Gradient Descent. - Takanori Maehara; Kohei Hayashi; Ken-ichi Kawarabayashi (AAAI, 2016)

Doubly Decomposing Nonparametric Tensor Regression. - Masaaki Imaizumi; Kohei Hayashi (ICML, 2016)

Identifying Key Observers to Find Popular Information in Advance. - Takuya Konishi; Tomoharu Iwata; Kohei Hayashi; Ken-ichi Kawarabayashi (IJCAI, 2016)

Minimizing Quadratic Functions in Constant Time. - Kohei Hayashi; Yuichi Yoshida (NIPS, 2016)

Extracting Search Query Patterns via the Pairwise Coupled Topic Model. - Takuya Konishi; Takuya Ohwa; Sumio Fujita; Kazushi Ikeda; Kohei Hayashi (WSDM, 2016)

A Tractable Fully Bayesian Method for the Stochastic Block Model. - Kohei Hayashi; Takuya Konishi; Tatsuro Kawamoto (CoRR, 2016)

Tensor Decomposition with Smoothness. - Masaaki Imaizumi; Kohei Hayashi (ICML, 2017)

Tensor Decomposition with Missing Indices. - Yuto Yamaguchi; Kohei Hayashi (IJCAI, 2017)

When Does Label Propagation Fail? A View from a Network Generative Model. - Yuto Yamaguchi; Kohei Hayashi (IJCAI, 2017)

Fitting Low-Rank Tensors in Constant Time. - Kohei Hayashi; Yuichi Yoshida (NIPS, 2017)

On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm. - Masaaki Imaizumi; Takanori Maehara; Kohei Hayashi (NIPS, 2017)

An Optimality Proof for the PairDiff operator for Representing Relations between Words. - Huda Hakami; Kohei Hayashi; Danushka Bollegala (CoRR, 2017)

Sparse Bayesian linear regression with latent masking variables. - Yohei Kondo; Kohei Hayashi; Shin-ichi Maeda (Neurocomputing, 2017)

Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach. - Satoshi Hara 001; Kohei Hayashi (AISTATS, 2018)

Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection. - Huda Hakami; Kohei Hayashi; Danushka Bollegala (COLING, 2018)

Think Globally, Embed Locally - Locally Linear Meta-embedding of Words. - Danushka Bollegala; Kohei Hayashi; Ken-ichi Kawarabayashi (IJCAI, 2018)

Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks. - Kohei Hayashi; Taiki Yamaguchi; Yohei Sugawara; Shin-ichi Maeda (NeurIPS, 2019)

Data Interpolating Prediction: Alternative Interpretation of Mixup. - Takuya Shimada; Shoichiro Yamaguchi; Kohei Hayashi; Sosuke Kobayashi (CoRR, 2019)

Einconv: Exploring Unexplored Tensor Decompositions for Convolutional Neural Networks. - Kohei Hayashi; Taiki Yamaguchi; Yohei Sugawara; Shin-ichi Maeda (CoRR, 2019)

On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis. - Kohei Hayashi; Masaaki Imaizumi; Yuichi Yoshida (AISTATS, 2020)

Testing Proximity to Subspaces: Approximate ℓ ∞ Minimization in Constant Time. - Kohei Hayashi; Yuichi Yoshida (Algorithmica, 2020)

Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks. - Katsuhiko Ishiguro; Kenta Oono; Kohei Hayashi (CoRR, 2020)

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)

Fractional SDE-Net: Generation of Time Series Data with Long-term Memory. - Kohei Hayashi; Kei Nakagawa (DSAA, 2022)

Scheduling Method for Improving Transmission and Reception Efficiency in IEEE802.15.4 used Heterogeneous Wireless Sensor Networks. - Kohei Hayashi; Rrota Horiuchi; Nobuyoshi Komuro (ICCE-TW, 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 (ICMLC, 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 (ECML/PKDD (3), 2022)

Local Contrast Enhancement with Multiscale Filtering. - Kohei Hayashi; Yoshihiro Maeda; Norishige Fukushima (APSIPA ASC, 2023)

Fuzzy Logic Evaluation of Knee Flexion Angle During Gait. - Kohei Hayashi; Risa Harada; Naomi Yagi; Yutaka Hata; Yoshiaki Saji; Yoshitada Sakai (ICMLC, 2023)

TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns. - Soma Onishi; Kenta Oono; Kohei Hayashi (CoRR, 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; et al. (CoRR, 2023)

Contrast-Aware DCT for Image Enhancement with JPEG Compatible Coding. - Kohei Hayashi; Soichiro Honda; Hirokazu Kamei; Yoshihiro Maeda; Norishige Fukushima (APSIPA, 2024)

Neural Fourier Transform: A General Approach to Equivariant Representation Learning. - Masanori Koyama; Kenji Fukumizu; Kohei Hayashi; Takeru Miyato (ICLR, 2024)

Lf-Net:Generating Fractional Time-Series with Latent Fractional-Net. - Kei Nakagawa; Kohei Hayashi (IJCNN, 2024)

Lookup Register-Tables with Interpolation for Effective Image Transformation on x86/64 CPUs. - Hirokazu Kamei; Soichiro Honda; Kohei Hayashi; Yoshihiro Maeda; Norishige Fukushima (VCIP, 2024)

CFTM: Continuous time fractional topic model. - Kei Nakagawa; Kohei Hayashi; Yugo Fujimoto (CoRR, 2024)

Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity Equation. - Noboru Isobe; Masanori Koyama; Kohei Hayashi; Kenji Fukumizu (CoRR, 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)

Inter-environmental world modeling for continuous and compositional dynamics. - Kohei Hayashi; Masanori Koyama; Julian Jorge Andrade Guerreiro (CoRR, 2025)

Simultaneous Learning of Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model. - Kotaro Ikeda; Masanori Koyama; Jinzhe Zhang; Kohei Hayashi; Kenji Fukumizu (CoRR, 2025)

When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars. - Rei Higuchi; Ryotaro Kawata; Naoki Nishikawa; Kazusato Oko; Shoichiro Yamaguchi; Sosuke Kobayashi; Seiya Tokui; Kohei Hayashi; Daisuke Okanohara; Taiji Suzuki (CoRR, 2025)

JFlow: Model-Independent Spherical Jeans Analysis using Equivariant Continuous Normalizing Flows. - Sung Hak Lim; Kohei Hayashi; Shun'ichi Horigome; Shigeki Matsumoto; Mihoko M. Nojiri (CoRR, 2025)