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2020 – today
- 2024
[i3]S. Mostafa Mousavi, Marc Stogaitis, Tajinder Gadh, Richard M. Allen, Alexei Barski, Robert Bosch, Patrick Robertson, Nivetha Thiruverahan, Youngmin Cho:
Gemini & Physical World: Large Language Models Can Estimate the Intensity of Earthquake Shaking from Multi-Modal Social Media Posts. CoRR abs/2405.18732 (2024)- 2021
- [c8]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:
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. ISSCC 2021: 350-352 - 2020
- [c7]Wookjoon Sung, Kil Pyo Hong, Youngmin Cho, Hanbyul Choi
:
Development of an Intelligent Information Index Model for Local Government in South Korea. DG.O 2020: 267-274
2010 – 2019
- 2012
- [b1]Youngmin Cho:
Kernel methods for deep learning. University of California, San Diego, USA, 2012 - [c6]Andrew W. Senior, Youngmin Cho, Jason Weston:
Learning improved linear transforms for speech recognition. ICASSP 2012: 1957-1960 - 2011
- [j2]Changnoh Yoon, Youngmin Cho, Jinsang Kim:
DFV-Aware Flip-Flops Using C-Elements. IEICE Trans. Electron. 94-C(7): 1229-1232 (2011) - [i2]Youngmin Cho, Lawrence K. Saul:
Analysis and Extension of Arc-Cosine Kernels for Large Margin Classification. CoRR abs/1112.3712 (2011) - [i1]Youngmin Cho, Lawrence K. Saul:
Nonnegative Matrix Factorization for Semi-supervised Dimensionality Reduction. CoRR abs/1112.3714 (2011) - 2010
- [j1]Youngmin Cho, Lawrence K. Saul:
Large-Margin Classification in Infinite Neural Networks. Neural Comput. 22(10): 2678-2697 (2010) - [c5]Changnoh Yoon, Youngmin Cho, Jinsang Kim, Won-Kyung Cho:
Efficient DFV-aware flip-flops. APCCAS 2010: 975-978 - [c4]Diane Hu, Laurens van der Maaten, Youngmin Cho, Lawrence K. Saul, Sorin Lerner:
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development. NIPS 2010: 865-873
2000 – 2009
- 2009
- [c3]Youngmin Cho, Lawrence K. Saul:
Sparse decomposition of mixed audio signals by basis pursuit with autoregressive models. ICASSP 2009: 1705-1708 - [c2]Youngmin Cho, Lawrence K. Saul:
Learning dictionaries of stable autoregressive models for audio scene analysis. ICML 2009: 169-176 - [c1]Youngmin Cho, Lawrence K. Saul:
Kernel Methods for Deep Learning. NIPS 2009: 342-350
Coauthor Index
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