Prioritized Reinforcement Learning for Analog Circuit Optimization With Design Knowledge. - Karthik Somayaji N. S.; Hanbin Hu; Peng Li 001 (DAC, 2021)

AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution. - Yu Wang 167; Ján Drgona; Jiaxin Zhang 005; Karthik Somayaji Nanjangud Suryanarayana; Malachi Schram; Frank Liu 001; Peng Li 001 (AAAI, 2023)

Uncertainty Aware Deep Learning for Particle Accelerators. - Kishansingh Rajput; Malachi Schram; Karthik Somayaji N. S. (CoRR, 2023)

Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach. - Yu Wang 167; Yuxuan Yin; Karthik Somayaji N. S.; Ján Drgona; Malachi Schram; Mahantesh Halappanavar; Frank Liu 001; Peng Li 001 (AAAI, 2024)

Learn-by-Compare: Analog Performance Prediction using Contrastive Regression with Design Knowledge. - Zihu Wang; Karthik Somayaji N. S.; Peng Li 001 (DAC, 2024)

Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory. - Karthik Somayaji N. S.; Yu Wang 167; Malachi Schram; Ján Drgona; Mahantesh M. Halappanavar; Frank Liu 001; Peng Li 001 (Trans. Mach. Learn. Res., 2024)

Pareto Optimization of Analog Circuits Using Reinforcement Learning. - Karthik Somayaji Nanjangud Suryanarayana; Peng Li 001 (ACM Trans. Design Autom. Electr. Syst., 2024)