Iku Ohama

According to our database, Iku Ohama authored at least 10 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Latent Conservative Objective Models for Data-Driven Crystal Structure Prediction.

Han Qi, Xinyang Geng, Stefano Rando, Iku Ohama, Aviral Kumar, Sergey Levine

CoRR, 2023

2018

Discovering Co-Cluster Structure from Relationships between Biased Objects.

Iku Ohama, Takuya Kida, Hiroki Arimura

IEICE Trans. Inf. Syst., 2018

An Extension of Gradient Boosted Decision Tree Incorporating Statistical Tests.

Ryuji Sakata, Iku Ohama, Tadahiro Taniguchi

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

On the Model Shrinkage Effect of Gamma Process Edge Partition Models.

Iku Ohama, Issei Sato, Takuya Kida, Hiroki Arimura

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Discovering Relevance-Dependent Bicluster Structure from Relational Data.

Iku Ohama, Takuya Kida, Hiroki Arimura

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

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

2015

Multi-Layered Framework for Modeling Relationships between Biased Objects.

Iku Ohama, Takuya Kida, Hiroki Arimura

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

A machine learning approach for lighting perception analysis via crowdsourcing.

Yuki Minoda, Iku Ohama, Eiichi Muramoto

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

2013

An Extension of the Infinite Relational Model Incorporating Interaction between Objects.

Iku Ohama, Hiromi Iida, Takuya Kida, Hiroki Arimura

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2009

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