3 papers
cs.LG2026
CLDRoute: Conditional Latent Diffusion for Routability Map Generation in Physical Design
Kiran Thorat, Nicole Meng, Caiwen Ding +2
Accurate routability estimation during physical design is important for reducing costly post-routing iterations. Prior learning-based methods treat this task as deterministic predi…
cs.CV2026
GIF: A Conditional Multimodal Generative Framework for IR Drop Imaging in Chip Layouts
Kiran Thorat, Nicole Meng, Mostafa Karami +3
IR drop analysis is essential in physical chip design to ensure the power integrity of on-chip power delivery networks. Traditional Electronic Design Automation (EDA) tools have be…
cs.LG2024
Theoretical Corrections and the Leveraging of Reinforcement Learning to Enhance Triangle Attack
Nicole Meng, Caleb Manicke, David Chen +4
Adversarial examples represent a serious issue for the application of machine learning models in many sensitive domains. For generating adversarial examples, decision based black-b…