Ryosuke Okuta

According to our database, Ryosuke Okuta authored at least 3 papers between 2014 and 2021.

Collaborative distances:

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

2021

MN-Core - A Highly Efficient and Scalable Approach to Deep Learning.

Ken Namura, Johannes Maximilian Kühn, Tohru Adachi, H. Imachi, H. Kaneko, T. Kato, Go Watanabe, Naoto Tanaka, S. Kashihara, Hiroshi Miyashita, Y. Tomonaga, Ryosuke Okuta, Takuya Akiba, Brian Vogel, S. Kitajo, F. Osawa, K. Takahashi, Y. Takatsukasa, K. Mizumaru, T. Yamauchi, J. Ono, A. Takahashi, Tanvir Ahmed, Y. Doi, K. Hiraki, J. Makino

Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021

2019

Chainer: A Deep Learning Framework for Accelerating the Research Cycle.

Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2014

Bounded Occurrence Edit Distance: A New Metric for String Similarity Joins with Edit Distance Constraints.

Tomoki Komatsu, Ryosuke Okuta, Kazuyuki Narisawa, Ayumi Shinohara

Proceedings of the SOFSEM 2014: Theory and Practice of Computer Science, 2014