Multi-viewpoint Silhouette Extraction with 3D Context-aware Error Detection, Correction, and Shadow Suppression. - Shohei Nobuhara; Yoshiyuki Tsuda; Iku Ohama; Takashi Matsuyama (IPSJ Trans. Comput. Vis. Appl., 2009)

An Extension of the Infinite Relational Model Incorporating Interaction between Objects. - Iku Ohama; Hiromi Iida; Takuya Kida; Hiroki Arimura (PAKDD (2), 2013)

A machine learning approach for lighting perception analysis via crowdsourcing. - Yuki Minoda; Iku Ohama; Eiichi Muramoto (UbiComp/ISWC Adjunct, 2015)

Multi-Layered Framework for Modeling Relationships between Biased Objects. - Iku Ohama; Takuya Kida; Hiroki Arimura (SDM, 2015)

The Relevance Dependent Infinite Relational Model for Discovering Co-Cluster Structure from Relationships with Structured Noise. - Iku Ohama; Hiromi Iida; Takuya Kida; Hiroki Arimura (IEICE Trans. Inf. Syst., 2016)

Discovering Relevance-Dependent Bicluster Structure from Relational Data. - Iku Ohama; Takuya Kida; Hiroki Arimura (IJCAI, 2017)

On the Model Shrinkage Effect of Gamma Process Edge Partition Models. - Iku Ohama; Issei Sato; Takuya Kida; Hiroki Arimura (NIPS, 2017)

An Extension of Gradient Boosted Decision Tree Incorporating Statistical Tests. - Ryuji Sakata; Iku Ohama; Tadahiro Taniguchi (ICDM Workshops, 2018)

Discovering Co-Cluster Structure from Relationships between Biased Objects. - Iku Ohama; Takuya Kida; Hiroki Arimura (IEICE Trans. Inf. Syst., 2018)

Latent Conservative Objective Models for Data-Driven Crystal Structure Prediction. - Han Qi; Xinyang Geng; Stefano Rando; Iku Ohama; Aviral Kumar; Sergey Levine (CoRR, 2023)