Kazuki Koyama

According to our database, Kazuki Koyama authored at least 8 papers between 2019 and 2023.

Collaborative distances:

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

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