papers
Publications (6)
math.OC2024
Model-Free $μ$-Synthesis: A Nonsmooth Optimization Perspective
Darioush Keivan, Xingang Guo, Peter Seiler +2
cs.CE2025
Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs
Xingang Guo, Yaxin Li, Xiangyi Kong +62
eess.SY2024
ControlAgent: Automating Control System Design via Novel Integration of LLM Agents and Domain Expertise
Xingang Guo, Darioush Keivan, Usman Syed +5
cs.LG2022
Model-Free $μ$ Synthesis via Adversarial Reinforcement Learning
Darioush Keivan, Aaron Havens, Peter Seiler +2
cs.LG2026
Rate or Fate? RLV$^\varepsilon$R: Reinforcement Learning with Verifiable Noisy Rewards
Ali Rad, Khashayar Filom, Darioush Keivan +2
math.OC2022
Revisiting PGD Attacks for Stability Analysis of Large-Scale Nonlinear Systems and Perception-Based Control
Aaron Havens, Darioush Keivan, Peter Seiler +2