EDA Developer

EDA developers are creating and improving software tools for electronic design automation, aiming to streamline and optimize the complex process of designing integrated circuits and other electronic systems. Current research focuses on leveraging machine learning, particularly neural networks and federated learning, to improve tasks like anomaly detection in manufacturing processes, automating backend design workflows, and enhancing model transferability across different hardware. These advancements promise to increase efficiency, reduce design time, and improve the quality and reliability of electronic devices, impacting both academic research and industrial applications.

Papers

October 15, 2024

ILAEDA: An Imitation Learning Based Approach for Automatic Exploratory Data Analysis
Abhijit Manatkar, Devarsh Patel, Hima Patel, Naresh Manwani
Reinforcement Learning Imitation Learning Constructive Approach Adversarial Imitation Learning Exploratory Data Analysis Exploratory Learning EDA Developer

August 12, 2024

Anomaly Detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering
Dominic Schneider, Lutz Rapp, Christoph Ament
Anomaly Detection Time Series Fuzzy Clustering Spatial Clustering Representation Degeneration EDA Developer

July 17, 2024

IICPilot: An Intelligent Integrated Circuit Backend Design Framework Using Open EDA
Zesong Jiang, Qing Zhang, Cheng Liu, Long Cheng, Huawei Li, Xiaowei Li
EDA Developer Open Source EDA Tool

August 4, 2023

Self-Normalizing Neural Network, Enabling One Shot Transfer Learning for Modeling EDFA Wavelength Dependent Gain
Agastya Raj, Zehao Wang, Frank Slyne, Tingjun Chen, Dan Kilper, Marco Ruffini
Transfer Learning Shot Learning Adaptive Normalization Light Source EDA Developer

September 29, 2022

EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding
Yanmin Wu, Xinhua Cheng, Renrui Zhang, Zesen Cheng, Jian Zhang
Visual Grounding Semantic Loss 3D Visual Grounding Dense Alignment EDA Developer

March 30, 2022

Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data
Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen
Machine Learning Machine Learning Model Decentralized Data Chip Design Collaborative Intelligence Based Routability EDA Developer

EDA Developer

Papers

ILAEDA: An Imitation Learning Based Approach for Automatic Exploratory Data Analysis

Anomaly Detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering

IICPilot: An Intelligent Integrated Circuit Backend Design Framework Using Open EDA

Self-Normalizing Neural Network, Enabling One Shot Transfer Learning for Modeling EDFA Wavelength Dependent Gain

EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding

Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data