| Uncertainty aware machine-learning-based surrogate models for particle accelerators: Study at the Fermilab Booster Accelerator Complex M Schram, K Rajput, KS NS, P Li, JS John, H Sharma Physical Review Accelerators and Beams 26 (4), 044602, 2023 | 10 | 2023 |
| Prioritized reinforcement learning for analog circuit optimization with design knowledge NSK Somayaji, H Hu, P Li 2021 58th ACM/IEEE Design Automation Conference (DAC), 1231-1236, 2021 | 9 | 2021 |
| AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution Y Wang, J Drgoňa, J Zhang, KSN Suryanarayana, M Schram, F Liu, P Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 10244 …, 2023 | 2 | 2023 |
| Uncertainty Aware Deep Learning for Particle Accelerators KS Rajput, M Schram, K Somayaji NS NeurIPS 2022 Machine Learning and the Physical Sciences Workshop, 2022 | 2 | 2022 |
| Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach Y Wang, Y Yin, KS NS, J Drgoňa, M Schram, M Halappanavar, F Liu, P Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15698 …, 2024 | 1 | 2024 |
| Pareto Optimization of Analog circuits using Reinforcement Learning KS NS, P Li ACM Transactions on Design Automation of Electronic Systems 29 (2), 1-14, 2024 | 1 | 2024 |
| Learn-by-Compare: Analog Performance Prediction using Contrastive Regression with Design Knowledge Z Wang, KS NS, P Li 2024 IEEE/ACM Design Automation Conference (DAC), 2024 | | 2024 |
| Extreme Risk Mitigation in Reinforcement Learning Using Extreme Value Theory Karthik Somayaji N.S, Yu Wang, Malachi Schram, Jan Drgona, Mahantesh ... Transactions on Machine Learning Research (TMLR), 2024 | | 2024 |
| Uncertainty Aware ML-based surrogate models for particle accelerators: A Study at the Fermilab Booster Accelerator Complex M Schram, K Rajput, KSP Li, JS John, H Sharma arXiv preprint arXiv:2209.07458, 2022 | | 2022 |
| AutoNF: Automated Architecture Optimization of Normalizing Flows Using a Mixture Distribution Formulation Y Wang, J Drgona, J Zhang, KS NS, FY Liu, M Schram, P Li | | 2021 |
| Analog Circuit Design and Optimization using Reinforcement Learning KSN Suryanarayana University of California, Santa Barbara, 2021 | | 2021 |
| Statistics of single cell trajectories in a bacterial swarm NS Somayaji, H Shankar Kotian, AZ Abdulla, S Harkar, V Singh, ... APS March Meeting Abstracts 2019, S63. 006, 2019 | | 2019 |
