Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms. - Hadi Esmaeilzadeh; Soroush Ghodrati; Andrew B. Kahng; Joon Kyung Kim; Sean Kinzer; Sayak Kundu; Rohan Mahapatra; Susmita Dey Manasi; Sachin S. Sapatnekar; Zhiang Wang; Ziqing Zeng (MLCAD, 2022)

Invited Paper: IEEE CEDA DATC Emerging Foundations in IC Physical Design and MLCAD Research. - Jinwook Jung; Andrew B. Kahng; Sayak Kundu; Zhiang Wang; Dooseok Yoon (ICCAD, 2023)

Assessment of Reinforcement Learning for Macro Placement. - Chung-Kuan Cheng; Andrew B. Kahng; Sayak Kundu; Yucheng Wang; Zhiang Wang (ISPD, 2023)

PPA-Relevant Clustering-Driven Placement for Large-Scale VLSI Designs. - Andrew B. Kahng; Seokhyeong Kang; Sayak Kundu; Kyungjun Min; Seonghyeon Park; Bodhisatta Pramanik (DAC, 2024)

Scalable Flip-Flop Clustering Using Divide and Conquer For Capacitated K-Means. - Andrew B. Kahng; Sayak Kundu; Shreyas Thumathy (ACM Great Lakes Symposium on VLSI, 2024)

Strengthening the Foundations for IC Physical Design and ML EDA Research. - Vidya A. Chhabria; Vikram Gopalakrishnan; Andrew B. Kahng; Sayak Kundu; Zhiang Wang; Bing-Yue Wu; Dooseok Yoon (ICCAD, 2024)

Placement Tomography-Based Routing Blockage Generation for DRV Hotspot Mitigation. - Andrew B. Kahng; Sayak Kundu; Dooseok Yoon (ICCAD, 2024)

An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators. - Hadi Esmaeilzadeh; Soroush Ghodrati; Andrew B. Kahng; Joon Kyung Kim; Sean Kinzer; Sayak Kundu; Rohan Mahapatra; Susmita Dey Manasi; Sachin S. Sapatnekar; Zhiang Wang; Ziqing Zeng (ACM Trans. Design Autom. Electr. Syst., 2024)

Use Cases and Deployment of ML in IC Physical Design. - Amur Ghose; Andrew B. Kahng; Sayak Kundu; Yiting Liu; Bodhisatta Pramanik; Zhiang Wang; Dooseok Yoon (ASP-DAC, 2025)

ORFS-agent: Tool-Using Agents for Chip Design Optimization. - Amur Ghose; Andrew B. Kahng; Sayak Kundu; Zhiang Wang (CoRR, 2025)