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2020 – today
- 2024
[c5]Sanghoon Myung, Donggwan Shin, Kyeyeop Kim, Yunji Choi, Gijae Kang, Songyi Han, Jaehoon Jeong, Daesin Kim:
A New Industry Standard Compact Model Integrating TCAD Into SPICE. VLSI Technology and Circuits 2024: 1-2- 2023
- [c4]In Huh, Changwook Jeong, Jae Myung Choe, Younggu Kim, Daesin Kim:
Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning. NeurIPS 2023 - 2022
- [c3]Sanghoon Myung, In Huh, Wonik Jang, Jae Myung Choe, Jisu Ryu, Daesin Kim, Kee-Eung Kim, Changwook Jeong:
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning. ICML 2022: 16240-16252 - [i4]Sanghoon Myung, Wonik Jang, Seonghoon Jin, Jae Myung Choe, Changwook Jeong, Daesin Kim:
Restructuring TCAD System: Teaching Traditional TCAD New Tricks. CoRR abs/2204.09578 (2022) - [i3]Sanghoon Myung, In Huh, Wonik Jang, Jae Myung Choe, Jisu Ryu, Daesin Kim, Kee-Eung Kim, Changwook Jeong:
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning. CoRR abs/2206.05703 (2022) - 2021
- [c2]Hyojin Choi, In Huh, Seungju Kim, Jeonghoon Ko, Changwook Jeong, Hyeonsik Son, Kiwon Kwon, Joonwan Chai, Younsik Park, Jaehoon Jeong, Daesin Kim, Jung Yun Choi:
Application of Deep Reinforcement Learning to Dynamic Verification of DRAM Designs. DAC 2021: 523-528 - [c1]Dae Young Park, Moon-Hyun Cha, Changwook Jeong, Daesin Kim, Bohyung Han:
Learning Student-Friendly Teacher Networks for Knowledge Distillation. NeurIPS 2021: 13292-13303 - [i2]Dae Young Park, Moon-Hyun Cha, Changwook Jeong, Daesin Kim, Bohyung Han:
Learning Student-Friendly Teacher Networks for Knowledge Distillation. CoRR abs/2102.07650 (2021) - [i1]Sanghoon Myung
, Hyunjae Jang, Byungseon Choi, Jisu Ryu, Hyuk Kim, Sang Wuk Park, Changwook Jeong, Daesin Kim:
A Novel Approach for Semiconductor Etching Process with Inductive Biases. CoRR abs/2104.02468 (2021)
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