Youngmin Cho

According to our database, Youngmin Cho authored at least 13 papers between 2009 and 2021.

Collaborative distances:

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

2021

25.4 A 20nm 6GB Function-In-Memory DRAM, Based on HBM2 with a 1.2TFLOPS Programmable Computing Unit Using Bank-Level Parallelism, for Machine Learning Applications.

Young-Cheon Kwon, Suk Han Lee, Jaehoon Lee, Sang-Hyuk Kwon, Je-Min Ryu, Jong-Pil Son, Seongil O, Hak-soo Yu, Haesuk Lee, Soo Young Kim, Youngmin Cho, Jin Guk Kim, Jongyoon Choi, Hyunsung Shin, Jin Kim, BengSeng Phuah, Hyoungmin Kim, Myeong Jun Song, Ahn Choi, Daeho Kim, Sooyoung Kim, Eun-Bong Kim, David Wang, Shinhaeng Kang, Yuhwan Ro, Seungwoo Seo, Joon-Ho Song, Jaeyoun Youn, Kyomin Sohn, Nam Sung Kim

Proceedings of the IEEE International Solid-State Circuits Conference, 2021

2020

Development of an Intelligent Information Index Model for Local Government in South Korea.

Wookjoon Sung, Kil Pyo Hong, Youngmin Cho, Hanbyul Choi

Proceedings of the dg.o '20: The 21st Annual International Conference on Digital Government Research, 2020

2012

Kernel methods for deep learning.

Youngmin Cho

PhD thesis, 2012

Learning improved linear transforms for speech recognition.

Andrew W. Senior, Youngmin Cho, Jason Weston

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

DFV-Aware Flip-Flops Using C-Elements.

Changnoh Yoon, Youngmin Cho, Jinsang Kim

IEICE Trans. Electron., 2011

Nonnegative Matrix Factorization for Semi-supervised Dimensionality Reduction

Youngmin Cho, Lawrence K. Saul

CoRR, 2011

Analysis and Extension of Arc-Cosine Kernels for Large Margin Classification

Youngmin Cho, Lawrence K. Saul

CoRR, 2011

2010

Large-Margin Classification in Infinite Neural Networks.

Youngmin Cho, Lawrence K. Saul

Neural Comput., 2010

Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development.

Diane Hu, Laurens van der Maaten, Youngmin Cho, Lawrence K. Saul, Sorin Lerner

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Efficient DFV-aware flip-flops.

Changnoh Yoon, Youngmin Cho, Jinsang Kim, Won-Kyung Cho

Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2010

2009

Kernel Methods for Deep Learning.

Youngmin Cho, Lawrence K. Saul

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Learning dictionaries of stable autoregressive models for audio scene analysis.

Youngmin Cho, Lawrence K. Saul

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Sparse decomposition of mixed audio signals by basis pursuit with autoregressive models.

Youngmin Cho, Lawrence K. Saul

Proceedings of the IEEE International Conference on Acoustics, 2009