| 4 | -- | 0 | Partha Pratim Pande. Machine Learning for CAD/EDA |
| 5 | -- | 7 | Ulf Schlichtmann, Bing Li 0005, Bei Yu 0001, Raviv Gal. Guest Editors' Introduction: Special Issue on Machine Learning for CAD/EDA |
| 8 | -- | 16 | Andrew B. Kahng. Machine Learning for CAD/EDA: The Road Ahead |
| 17 | -- | 33 | Tinghuan Chen, Grace Li Zhang, Bei Yu 0001, Bing Li 0005, Ulf Schlichtmann. Machine Learning in Advanced IC Design: A Methodological Survey |
| 34 | -- | 42 | Styliani Tompazi, Ioannis Tsiokanos, Jesús Martínez del Rincón, Georgios Karakonstantis. Estimating Code Vulnerability to Timing Errors Via Microarchitecture-Aware Machine Learning |
| 43 | -- | 51 | Lorenzo Servadei, Jin Hwa Lee, José Antonio Arjona-Medina, Michael Werner, Sepp Hochreiter, Wolfgang Ecker, Robert Wille. Deep Reinforcement Learning for Optimization at Early Design Stages |
| 52 | -- | 61 | Cheng Zhuo, Di Gao, Yuan Cao, Tianhao Shen, Li Zhang 0021, Jinfang Zhou, Xunzhao Yin. A DVFS Design and Simulation Framework Using Machine Learning Models |
| 62 | -- | 69 | Peng Cao 0002, Tai Yang, Kai Wang, Wei Bao, Hao Yan. Topology-Aided Multicorner Timing Predictor for Wide Voltage Design |
| 70 | -- | 76 | Haoxing Ren, Brucek Khailany, Matthew Fojtik, Yanqing Zhang. Machine Learning and Algorithms: Let Us Team Up for EDA |
| 77 | -- | 84 | Luis Francisco, W. Rhett Davis, Paul D. Franzon. A Deep Transfer Learning Design Rule Checker With Synthetic Training |
| 85 | -- | 95 | Srinivasan Subramaniyan, Oscar Ferraz, M. R. Ashuthosh, Santosh Krishna, Guohui Wang, Joseph R. Cavallaro, Vítor Silva 0001, Gabriel Falcão 0001, Madhura Purnaprajna. Enabling High-Level Design Strategies for High-Throughput and Low-Power NB-LDPC Decoders |
| 96 | -- | 104 | Blaise Ravelo, Alexandre Douyère, Yang Liu, Wenceslas Rahajandraibe, Fayu Wan, George Chan, Mathieu Guerin. Fully Microstrip Three-Port Circuit Bandpass NGD Design and Test |
| 105 | -- | 107 | Charles Augustine, Hai Helen Li. ISLPED 2022: An Experience of a Hybrid Conference in the Time of COVID-19 |
| 108 | -- | 111 | Aviral Shrivastava, Xiaobo Sharon Hu. Report on the 2022 Embedded Systems Week (ESWEEK) |
| 112 | -- | 115 | Nicola Nicolici. Interview With Janet Olson |
| 116 | -- | 0 | Scott Davidson. Training Data Sets: The Source of Our Woes? |