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Transformer Network-based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM)
29 March 2022
HyunWook Park
Minsu Kim
Seongguk Kim
Keunwoo Kim
Haeyeon Kim
Taein Shin
Keeyoung Son
Boogyo Sim
Subin Kim
Seungtaek Jeong
C. Hwang
Joungho Kim
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Papers citing
"Transformer Network-based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM)"
5 / 5 papers shown
Title
Deep Analysis of Time Series Data for Smart Grid Startup Strategies: A Transformer-LSTM-PSO Model Approach
Zecheng Zhang
32
8
0
22 Aug 2024
Hierarchical Decoupling Capacitor Optimization for Power Distribution Network of 2.5D ICs with Co-Analysis of Frequency and Time Domains Based on Deep Reinforcement Learning
Yuanyuan Duan
Haiyang Feng
Zhiping Yu
Hanming Wu
Leilai Shao
Xiaolei Zhu
19
0
0
02 Jul 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
Minsu Kim
Sanghyeok Choi
Hyeon-Seob Kim
Jiwoo Son
Jinkyoo Park
Yoshua Bengio
43
24
0
11 Mar 2024
Large Language Models as Hyper-Heuristics for Combinatorial Optimization
Haoran Ye
Jiarui Wang
Zhiguang Cao
Federico Berto
Chuanbo Hua
Haeyeon Kim
Jinkyoo Park
Guojie Song
42
46
0
02 Feb 2024
DevFormer: A Symmetric Transformer for Context-Aware Device Placement
Haeyeon Kim
Minsu Kim
Federico Berto
Joungho Kim
Jinkyoo Park
57
14
0
26 May 2022
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