Curriculum Vitae

Kenichi Kurihara

kurihara [at] mi.cs.titech.ac.jp    http://mi.cs.titech.ac.jp/kurihara
Department of Computer Science
School of Computer Science and Engineering
Tokyo Institute of Technology

Education

1999-2003 BE computer science, Tokyo Institute of Technology, Japan
Thesis: Efficient Grammar Induction Algorithm from Huge Corpora
Supervisor: Prof. Taisuke Sato.
2003-2006 ME computer science, Tokyo Institute of Technology, Japan
Supervisor: Prof. Taisuke Sato.
2004-2005 enrolled as an exchange student (education abroad program)
Information & Computer Science, UC Irvine, USA.
2006- PhD computer science, Tokyo Institute of Technology, Japan
Supervisor: Prof. Taisuke Sato.

Employment

2006 research scholar
Information & Computer Science, UC Irvine, USA.
2006- JSPS Research Fellow (DC1).
2007 research scholar
Information & Computer Science, UC Irvine, USA.

Publications (selected)

1
Kenichi Kurihara, Yoshitaka Kameya, and Taisuke Sato.
Discovering concepts from word co-occurrences with a relational model.
Transactions of the Japanese Society for Artificial Intelligence, 22(2):218-226, 2007.

2
Kenichi Kurihara, Max Welling, and Yee Whye Teh.
Collapsed variational dirichlet process mixture models.
In IJCAI, 2007.

3
Kenichi Kurihara, Max Welling, and Nikos Vlassis.
Accelerated variational dirichlet process mixtures.
In NIPS 19, 2007.

4
Kenichi Kurihara and Taisuke Sato.
Variational bayesian grammar induction for natural language.
In 8th International Colloquium on Grammatical Inference, 2006.

5
Max Welling and Kenichi Kurihara.
Bayesian k-means as a ``maximization-expectation'' algorithm.
In Procedings of SIAM Conference on Data Mining SDM06, 2006.

6
Kenichi Kurihara, Yoshitaka Kameya, and Taisuke Sato.
Efficient grammar induction algorithm with parse forests from real corpora.
Transactions of the Japanese Society for Artificial Intelligence, 19(5):360-367, 2004.

7
Kenichi Kurihara and Taisuke Sato.
An application of the variational Bayesian approach to probabilistic context-free grammars, 2004.
IJCNLP-04 Workshop beyond shallow analyses.