Differentiable Neural Network Surrogate Models for gm/ID-based Analog IC Sizing Optimization. - Yannick Uhlmann; Till Moldenhauer; Jürgen Scheible (MLCAD, 2023)

Integrating Multiple Knowledge-based Automation Methodologies into the A/MS IC Design Flow. - Benjamin Prautsch; Ralf Sommer; Jürgen Scheible; Uwe Eichler; Lorenz Renner; Till Moldenhauer; Matthias Schweikardt; Yannick Uhlmann (SMACD, 2024)

An Open-Source Environment for Evaluating Reinforcement Learning Algorithms for Analog IC Floorplanning. - Till Moldenhauer; Yannick Uhlmann; Jürgen Scheible (SMACD, 2025)

Interactive Visual Performance Space Exploration of Operational Amplifiers with Differentiable Neural Network Surrogate Models. - Yannick Uhlmann; Till Moldenhauer; Jürgen Scheible (ACM Trans. Design Autom. Electr. Syst., 2025)