Kazuki Koyama

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Learning Models

Top Venues

CHI Extended Abstracts

AAAI Bridge Program

ACM Trans. Graph.

Publications

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)
Sora Oka, Kazuki Koyama, Tomoyuki Gondo, Yasushi Ikeda, Yoshihiro Kawahara, Koya Narumi
Folding Angle Control of Inter-Connected Pouch Motors. CHI Extended Abstracts (2024)
Kazuki Koyama, Masanori Sakaguchi, Takaaki Ohnishi
A Noise-Robust Approach to Estimate Dimension of Sleep EEG in Mice Using Permutation Entropy. FUZZ (2024)
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) (2023)
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)
Daigo Fujiwara, Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani, Shohei Shimizu
Prospects of Continual Causality for Industrial Applications. AAAI Bridge Program (2023)
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)
Kazuki Koyama, Mariko I. Ito, Takaaki Ohnishi
Fluctuation in Grocery Sales by Brand: An Analysis Using Taylor's Law. Rev. Socionetwork Strateg. 16 (2) (2022)
Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani
Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference. AISTATS (2022)
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)
Kazuki Koyama, Keisuke Kiritoshi, Tomonori Izumitani
Discovering Sparse and Ununiform Lag Structure Using VAR Models with Latent Group LASSO. ICDM Workshops (2019)