Brian Vogel

According to our database, Brian Vogel authored at least 4 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of four.
• 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

2020

Reducing Underflow in Mixed Precision Training by Gradient Scaling.

Ruizhe Zhao, Brian Vogel, Tanvir Ahmed, Wayne Luk

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Adaptive Loss Scaling for Mixed Precision Training.

Ruizhe Zhao, Brian Vogel, Tanvir Ahmed

CoRR, 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