Kohei Hayashi - RankMe

69 papers A* 14A 3B 5C 2Misc 2Journal 29Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robust Sim-to-Real Cloth Untangling through Reduced-Resolution Observations via Adaptive Force-Difference Quantization. CoRR Yoshihisa Tsurumine, Yuki Kadokawa, Kohei Hayashi, Christian Diehm, Takamitsu Matsubara
2025	J	`jnl`	Inter-environmental world modeling for continuous and compositional dynamics. CoRR Kohei Hayashi, Masanori Koyama, Julian Jorge Andrade Guerreiro
2025	J	`jnl`	JFlow: Model-Independent Spherical Jeans Analysis using Equivariant Continuous Normalizing Flows. CoRR Sung Hak Lim, Kohei Hayashi, Shun'ichi Horigome, Shigeki Matsumoto, Mihoko M. Nojiri
2025	J	`jnl`	Simultaneous Learning of Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model. CoRR Kotaro Ikeda, Masanori Koyama, Jinzhe Zhang, Kohei Hayashi, Kenji Fukumizu
2025	J	`jnl`	When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars. CoRR Rei Higuchi, Ryotaro Kawata, Naoki Nishikawa, Kazusato Oko, Shoichiro Yamaguchi, Sosuke Kobayashi, Seiya Tokui, Kohei Hayashi, Daisuke Okanohara, Taiji Suzuki
2024	J	`jnl`	CFTM: Continuous time fractional topic model. CoRR Kei Nakagawa, Kohei Hayashi, Yugo Fujimoto
2024	—	`conf`	Contrast-Aware DCT for Image Enhancement with JPEG Compatible Coding. APSIPA Kohei Hayashi, Soichiro Honda, Hirokazu Kamei, Yoshihiro Maeda, Norishige Fukushima
2024	J	`jnl`	Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity Equation. CoRR Noboru Isobe, Masanori Koyama, Kohei Hayashi, Kenji Fukumizu
2024	B	`conf`	Lf-Net:Generating Fractional Time-Series with Latent Fractional-Net. IJCNN Kei Nakagawa, Kohei Hayashi
2024	C	`conf`	Lookup Register-Tables with Interpolation for Effective Image Transformation on x86/64 CPUs. VCIP Hirokazu Kamei, Soichiro Honda, Kohei Hayashi, Yoshihiro Maeda, Norishige Fukushima
2024	A*	`conf`	Neural Fourier Transform: A General Approach to Equivariant Representation Learning. ICLR Masanori Koyama, Kenji Fukumizu, Kohei Hayashi, Takeru Miyato
2024	J	`jnl`	Sampled-Data Circular Path Following Control of Four Wheeled Mobile Robots With Steering Angle Saturation. IEEE Control. Syst. Lett. Hitoshi Katayama, Kohei Hayashi, Yuya Imamura
2023	Misc	`conf`	Fuzzy Logic Evaluation of Knee Flexion Angle During Gait. ICMLC Kohei Hayashi, Risa Harada, Naomi Yagi, Yutaka Hata, Yoshiaki Saji, Yoshitada Sakai
2023	—	`conf`	Local Contrast Enhancement with Multiscale Filtering. APSIPA ASC Kohei Hayashi, Yoshihiro Maeda, Norishige Fukushima
2023	J	`jnl`	Neural Fourier Transform: A General Approach to Equivariant Representation Learning. CoRR Masanori Koyama, Kenji Fukumizu, Kohei Hayashi, Takeru Miyato
2023	J	`jnl`	TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns. CoRR Soma Onishi, Kenta Oono, Kohei Hayashi
2023	J	`jnl`	Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics. CoRR 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
2022	—	`conf`	A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective? ECML/PKDD (3) Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi
2022	B	`conf`	Fractional SDE-Net: Generation of Time Series Data with Long-term Memory. DSAA Kohei Hayashi, Kei Nakagawa
2022	J	`jnl`	Fractional SDE-Net: Generation of Time Series Data with Long-term Memory. CoRR Kohei Hayashi, Kei Nakagawa
2022	—	`conf`	Scheduling Method for Improving Transmission and Reception Efficiency in IEEE802.15.4 used Heterogeneous Wireless Sensor Networks. ICCE-TW Kohei Hayashi, Rrota Horiuchi, Nobuyoshi Komuro
2022	Misc	`conf`	Time Series Knee Joint Angle Analysis During Gait for Patients with Down Syndrome by 3d Pose Estimation. ICMLC Kohei Hayashi, Naomi Yagi, Yutaka Hata, Yoshiaki Saji, Yoshitada Sakai
2021	J	`jnl`	A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training. CoRR Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi
2020	A	`conf`	On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis. AISTATS Kohei Hayashi, Masaaki Imaizumi, Yuichi Yoshida
2020	J	`jnl`	Testing Proximity to Subspaces: Approximate ℓ Algorithmica Kohei Hayashi, Yuichi Yoshida
2020	J	`jnl`	Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks. CoRR Katsuhiko Ishiguro, Kenta Oono, Kohei Hayashi
2019	J	`jnl`	Data Interpolating Prediction: Alternative Interpretation of Mixup. CoRR Takuya Shimada, Shoichiro Yamaguchi, Kohei Hayashi, Sosuke Kobayashi
2019	J	`jnl`	Einconv: Exploring Unexplored Tensor Decompositions for Convolutional Neural Networks. CoRR Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda
2019	A*	`conf`	Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks. NeurIPS Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda
2019	J	`jnl`	On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis. CoRR Kohei Hayashi, Masaaki Imaizumi, Yuichi Yoshida
2018	A	`conf`	Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach. AISTATS Satoshi Hara, Kohei Hayashi
2018	A*	`conf`	Think Globally, Embed Locally - Locally Linear Meta-embedding of Words. IJCAI Danushka Bollegala, Kohei Hayashi, Ken-ichi Kawarabayashi
2018	B	`conf`	Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection. COLING Huda Hakami, Kohei Hayashi, Danushka Bollegala
2017	J	`jnl`	An Optimality Proof for the PairDiff operator for Representing Relations between Words. CoRR Huda Hakami, Kohei Hayashi, Danushka Bollegala
2017	—	`conf`	Fitting Low-Rank Tensors in Constant Time. NIPS Kohei Hayashi, Yuichi Yoshida
2017	—	`conf`	On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm. NIPS Masaaki Imaizumi, Takanori Maehara, Kohei Hayashi
2017	J	`jnl`	Sparse Bayesian linear regression with latent masking variables. Neurocomputing Yohei Kondo, Kohei Hayashi, Shin-ichi Maeda
2017	A*	`conf`	Tensor Decomposition with Missing Indices. IJCAI Yuto Yamaguchi, Kohei Hayashi
2017	A*	`conf`	Tensor Decomposition with Smoothness. ICML Masaaki Imaizumi, Kohei Hayashi
2017	J	`jnl`	Think Globally, Embed Locally - Locally Linear Meta-embedding of Words. CoRR Danushka Bollegala, Kohei Hayashi, Ken-ichi Kawarabayashi
2017	A*	`conf`	When Does Label Propagation Fail? A View from a Network Generative Model. IJCAI Yuto Yamaguchi, Kohei Hayashi
2016	J	`jnl`	A Tractable Fully Bayesian Method for the Stochastic Block Model. CoRR Kohei Hayashi, Takuya Konishi, Tatsuro Kawamoto
2016	A*	`conf`	Doubly Decomposing Nonparametric Tensor Regression. ICML Masaaki Imaizumi, Kohei Hayashi
2016	A*	`conf`	Expected Tensor Decomposition with Stochastic Gradient Descent. AAAI Takanori Maehara, Kohei Hayashi, Ken-ichi Kawarabayashi
2016	A	`conf`	Extracting Search Query Patterns via the Pairwise Coupled Topic Model. WSDM Takuya Konishi, Takuya Ohwa, Sumio Fujita, Kazushi Ikeda, Kohei Hayashi
2016	A*	`conf`	Identifying Key Observers to Find Popular Information in Advance. IJCAI Takuya Konishi, Tomoharu Iwata, Kohei Hayashi, Ken-ichi Kawarabayashi
2016	—	`conf`	Minimizing Quadratic Functions in Constant Time. NIPS Kohei Hayashi, Yuichi Yoshida
2016	J	`jnl`	Minimizing Quadratic Functions in Constant Time. CoRR Kohei Hayashi, Yuichi Yoshida
2015	C	`conf`	Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias. ACML Yohei Kondo, Shin-ichi Maeda, Kohei Hayashi
2015	J	`jnl`	Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias. CoRR Yohei Kondo, Kohei Hayashi, Shin-ichi Maeda
2015	A*	`conf`	Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering. KDD Kohei Hayashi, Takanori Maehara, Masashi Toyoda, Ken-ichi Kawarabayashi
2015	A*	`conf`	Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood. ICML Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki
2015	J	`jnl`	Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood. CoRR Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki
2013	—	`conf`	Design and implementation of OFDM signal processing on PSoC microcontroller. ICTC Kohei Hayashi, Fumihito Sasamori, Osamu Takyu, Shiro Handa
2013	—	`conf`	Factorized Asymptotic Bayesian Inference for Latent Feature Models. NIPS Kohei Hayashi, Ryohei Fujimaki
2012	J	`jnl`	Factorized Asymptotic Bayesian Hidden Markov Models CoRR Ryohei Fujimaki, Kohei Hayashi
2012	A*	`conf`	Factorized Asymptotic Bayesian Hidden Markov Models. ICML Ryohei Fujimaki, Kohei Hayashi
2012	J	`jnl`	Link Prediction Across Time via Cross-Temporal Locality Preserving Projections. IEICE Trans. Inf. Syst. Satoshi Oyama, Kohei Hayashi, Hisashi Kashima
2012	—	`conf`	Self-measuring Similarity for Multi-task Gaussian Process. ICML Unsupervised and Transfer Learning Kohei Hayashi, Takashi Takenouchi, Ryota Tomioka, Hisashi Kashima
2012	J	`jnl`	Tensor factorization using auxiliary information. Data Min. Knowl. Discov. Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima
2012	—	`conf`	Weighted Likelihood Policy Search with Model Selection. NIPS Tsuyoshi Ueno, Kohei Hayashi, Takashi Washio, Yoshinobu Kawahara
2011	A*	`conf`	Cross-Temporal Link Prediction. ICDM Satoshi Oyama, Kohei Hayashi, Hisashi Kashima
2011	J	`jnl`	Exponential family tensor factorization: an online extension and applications. Knowl. Inf. Syst. Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibata, Yuki Kamiya, Daishi Kato, Kazuo Kunieda, Keiji Yamada, Kazushi Ikeda
2011	—	`conf`	Statistical Performance of Convex Tensor Decomposition. NIPS Ryota Tomioka, Taiji Suzuki, Kohei Hayashi, Hisashi Kashima
2011	—	`conf`	Tensor Factorization Using Auxiliary Information. ECML/PKDD (2) Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima
2010	A*	`conf`	Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection. ICDM Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibata, Yuki Kamiya, Daishi Kato, Kazuo Kunieda, Keiji Yamada, Kazushi Ikeda
2009	B	`conf`	Dynamic Exponential Family Matrix Factorization. PAKDD Kohei Hayashi, Junichiro Hirayama, Shin Ishii
2009	—	`conf`	The Lower System, the Upper System and Rules with Stability Factor in Non-deterministic Information Systems. RSFDGrC Hiroshi Sakai, Kohei Hayashi, Michinori Nakata, Dominik Slezak
2007	B	`conf`	Complex-valued Neuron to describe the Dynamics after Hopf Bifurcation: an Example of CPG Model for a Biped Locomotion. IJCNN Ikuko Nishikawa, Kohei Hayashi, Kazutoshi Sakakibara