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Kazuki Koyama
ORCID
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 8
Top Topics
Markov Blanket
Causal Models
Group Lasso
Causal Discovery
Top Venues
AISTATS
AAAI Bridge Program
ACM Trans. Graph.
CD@KDD
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Publications
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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)