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Journal Articles
- 2023
[j2]Koya Narumi
, Kazuki Koyama, Kai Suto, Yuta Noma, Hiroki Sato, Tomohiro Tachi, Masaaki Sugimoto, Takeo Igarashi, Yoshihiro Kawahara:
Inkjet 4D Print: Self-folding Tessellated Origami Objects by Inkjet UV Printing. ACM Trans. Graph. 42(4): 117:1-117:13 (2023)- 2022
- [j1]Kazuki Koyama, Mariko I. Ito, Takaaki Ohnishi:
Fluctuation in Grocery Sales by Brand: An Analysis Using Taylor's Law. Rev. Socionetwork Strateg. 16(2): 417-430 (2022)
Conference and Workshop Papers
- 2024
- [c9]Shuyue Feng, Tung D. Ta, Shichao Huang, Xiaolong Li, Kazuki Koyama, Guanyun Wang, Cheng Yao, Yoshihiro Kawahara, Koya Narumi:
Rapid Fabrication of Haptic and Electric Input Interfaces using 4D Printed Origami. CHI Extended Abstracts 2024: 277:1-277:7 - [c8]Sora Oka, Kazuki Koyama, Tomoyuki Gondo, Yasushi Ikeda, Yoshihiro Kawahara, Koya Narumi:
Folding Angle Control of Inter-Connected Pouch Motors. CHI Extended Abstracts 2024: 405:1-405:4 - [c7]Kazuki Koyama, Masanori Sakaguchi, Takaaki Ohnishi:
A Noise-Robust Approach to Estimate Dimension of Sleep EEG in Mice Using Permutation Entropy. FUZZ 2024: 1-8 - 2023
- [c6]Daigo Fujiwara, Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani, Shohei Shimizu:
Prospects of Continual Causality for Industrial Applications. AAAI Bridge Program 2023: 18-24 - [c5]Daigo Fujiwara, Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani, Shohei Shimizu:
Causal Discovery for Non-stationary Non-linear Time Series Data Using Just-In-Time Modeling. CLeaR 2023: 880-894 - [c4]Kazuki Koyama, Koya Narumi, Ken Takaki, Yasushi Kawase, Ari Hautasaari, Yoshihiro Kawahara:
Reusing Cardboard for Packaging Boxes with a Computational Design System. UIST (Adjunct Volume) 2023: 15:1-15:3 - 2022
- [c3]Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani:
Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference. AISTATS 2022: 10407-10421 - 2021
- [c2]Keisuke Kiritoshi, Tomonori Izumitani, Kazuki Koyama, Tomomi Okawachi, Keisuke Asahara, Shohei Shimizu:
Estimating individual-level optimal causal interventions combining causal models and machine learning models. CD@KDD 2021: 55-77 - 2019
- [c1]Kazuki Koyama, Keisuke Kiritoshi, Tomonori Izumitani:
Discovering Sparse and Ununiform Lag Structure Using VAR Models with Latent Group LASSO. ICDM Workshops 2019: 376-384
Coauthor Index
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