Category / Seongsik Park

Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks

Seongsik Park, Seijoon Kim, Hyeokjun Choe, Sungroh Yoon, in Proceedings of Design Automation Conference (DAC), Las Vegas, USA, June 2019.
preprint  link  arXiv

02 June 2019
Conference, Hyeokjun Choe, Seijoon Kim, Seongsik Park, Sungroh Yoon

Quantized Memory-Augmented Neural Networks

Seongsik Park, Seijoon Kim, Seil Lee, Ho Bae, and Sungroh Yoon, in Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), pp.3909-3916, New Orleans, USA, February 2018.
paper  suppl  link  arxiv

07 February 2018
Conference, Seongsik Park, Sungroh Yoon

Near-Data Processing for Differentiable Machine Learning Models

Hyeokjun Choe, Seil Lee, Hyunha Nam, Seongsik Park, Seijoon Kim, Eui-Young Chung, and Sungroh Yoon, in Proceedings of the 33rd International Conference on Massive Storage Systems and Technology (MSST), Santa Clara, USA, May 2017.
paper  link

15 May 2017
Conference, Eui-Young Chung, Hyeokjun Choe, Seijoon Kim, Seongsik Park, Sungroh Yoon

An Efficient Method to Boosting Performance of Spiking Neural Network Training

Seongsik Park, Sang-gil Lee, Hyunha Nam, and Sungroh Yoon,  in the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS) Workshop on Computing with Spikes, Barcelona, Spain, December 2016.
paper  link  arXiv

31 October 2016
Conference, Hyunha Nam, Sang-gil Lee, Seongsik Park, Sungroh Yoon

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