Karthik Somayaji Nanjangud Suryanarayana

According to our database, Karthik Somayaji Nanjangud Suryanarayana authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LLM-USO: Large Language Model-Based Universal Sizing Optimizer.

Karthik Somayaji N. S., Peng Li

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2026

2024

Pareto Optimization of Analog Circuits Using Reinforcement Learning.

Karthik Somayaji Nanjangud Suryanarayana, Peng Li

ACM Trans. Design Autom. Electr. Syst., March, 2024

Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory.

Karthik Somayaji N. S., Yu Wang, Malachi Schram, Ján Drgona, Mahantesh M. Halappanavar, Frank Liu, Peng Li

Trans. Mach. Learn. Res., 2024

Learn-by-Compare: Analog Performance Prediction using Contrastive Regression with Design Knowledge.

Zihu Wang, Karthik Somayaji N. S., Peng Li

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach.

Yu Wang, Yuxuan Yin, Karthik Somayaji N. S., Ján Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Uncertainty Aware Deep Learning for Particle Accelerators.

Kishansingh Rajput, Malachi Schram, Karthik Somayaji N. S.

CoRR, 2023

AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution.

Yu Wang, Ján Drgona, Jiaxin Zhang, Karthik Somayaji Nanjangud Suryanarayana, Malachi Schram, Frank Liu, Peng Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Prioritized Reinforcement Learning for Analog Circuit Optimization With Design Knowledge.

Karthik Somayaji N. S., Hanbin Hu, Peng Li

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021