Kazuki Koyama

According to our database, Kazuki Koyama authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

A Noise-Robust Approach to Estimate Dimension of Sleep EEG in Mice Using Permutation Entropy.

Kazuki Koyama, Masanori Sakaguchi, Takaaki Ohnishi

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

Folding Angle Control of Inter-Connected Pouch Motors.

Sora Oka, Kazuki Koyama, Tomoyuki Gondo, Yasushi Ikeda, Yoshihiro Kawahara, Koya Narumi

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

Rapid Fabrication of Haptic and Electric Input Interfaces using 4D Printed Origami.

Shuyue Feng, Tung D. Ta, Shichao Huang, Xiaolong Li, Kazuki Koyama, Guanyun Wang, Cheng Yao, Yoshihiro Kawahara, Koya Narumi

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Inkjet 4D Print: Self-folding Tessellated Origami Objects by Inkjet UV Printing.

Koya Narumi, Kazuki Koyama, Kai Suto, Yuta Noma, Hiroki Sato, Tomohiro Tachi, Masaaki Sugimoto, Takeo Igarashi, Yoshihiro Kawahara

ACM Trans. Graph., August, 2023

Reusing Cardboard for Packaging Boxes with a Computational Design System.

Kazuki Koyama, Koya Narumi, Ken Takaki, Yasushi Kawase, Ari Hautasaari, Yoshihiro Kawahara

Proceedings of the Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

Causal Discovery for Non-stationary Non-linear Time Series Data Using Just-In-Time Modeling.

Daigo Fujiwara, Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani, Shohei Shimizu

Proceedings of the Conference on Causal Learning and Reasoning, 2023

Prospects of Continual Causality for Industrial Applications.

Daigo Fujiwara, Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani, Shohei Shimizu

Proceedings of the AAAI Bridge Program on Continual Causality, 2023

2022

Fluctuation in Grocery Sales by Brand: An Analysis Using Taylor's Law.

Kazuki Koyama, Mariko I. Ito, Takaaki Ohnishi

Rev. Socionetwork Strateg., 2022

Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference.

Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Estimating individual-level optimal causal interventions combining causal models and machine learning models.

Keisuke Kiritoshi, Tomonori Izumitani, Kazuki Koyama, Tomomi Okawachi, Keisuke Asahara, Shohei Shimizu

Proceedings of the KDD 2021 Workshop on Causal Discovery, 2021

2019

Discovering Sparse and Ununiform Lag Structure Using VAR Models with Latent Group LASSO.

Kazuki Koyama, Keisuke Kiritoshi, Tomonori Izumitani

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019