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A STEADY-STATE APPROACH TO PREVENT VOLTAGE COLLAPSE IN POWER SYSTEM

Jairo Quirós Tortós and Eddie Araya Padilla (None)
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Machine learning-based pre-routing timing prediction with reduced pessimism

Erick Carvajal Barboza, Nischal Shukla, Yiran Chen, Jiang Hu (2019)
ACM/IEEE Design Automation Conference (DAC)

FIST: A feature-importance sampling and tree-based method for automatic design flow parameter tuning

Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Shao-Yun Fang, Jiang Hu, Yiran Chen, Erick Carvajal Barboza (2020)
IEEE Asia and South Pacific Design Automation Conference (ASP-DAC)

Automatic microprocessor performance bug detection

Erick Carvajal Barboza, Sara Jacob, Mahesh Ketkar, Michael Kishinevsky, Paul Gratz, Jiang Hu (2021)
IEEE International Symposium on High-Performance Computer Architecture (HPCA)

Deep Learning for Routability

Zhiyao Xie, Jingyu Pan, Chen-Chia Chang, Rongjian Liang, Erick Carvajal Barboza, Yiran Chen (2022)
Capítulo del Libro: "Machine Learning Applications in Electronic Design Automation"

Net-Based Machine Learning-Aided Approaches for Timing and Crosstalk Prediction

Rongjian Liang, Zhiyao Xie, Erick Carvajal Barboza, Jiang Hu (2022)
Capítulo del Libro: "Machine Learning Applications in Electronic Design Automation"

Aiding Microprocessor Performance Validation with Machine Learning

Erick Carvajal Barboza, Mahesh Ketkar, Paul Gratz, Jiang Hu (2024)
IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)

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