51 citations · 52 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 51 cited
Transformer Network-based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM)
Hyunwook Park, Minsu Kim, Seongguk Kim +9
In this article, for the first time, we propose a transformer network-based reinforcement learning (RL) method for power distribution network (PDN) optimization of high bandwidth m…
cs.LG2021★ 1 cited
Fast PDN Impedance Prediction Using Deep Learning
Ling Zhang, Jack Juang, Zurab Kiguradze +5
Modeling and simulating a power distribution network (PDN) for printed circuit boards (PCBs) with irregular board shapes and multi-layer stackup is computationally inefficient usin…
eess.SP2020
Long Short-Term Memory Neuron Equalizer
Zihao Wang, Zhifei Xu, Jiayi He +3
In this work we propose a neuromorphic hardware based signal equalizer by based on the deep learning implementation. The proposed neural equalizer is plasticity trainable equalizer…