Yannick Uhlmann
According to our database1,
Yannick Uhlmann
authored at least 3 papers
between 2019 and 2023.
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Bibliography
2023
Differentiable Neural Network Surrogate Models for gm/ID-based Analog IC Sizing Optimization.
Proceedings of the 5th ACM/IEEE Workshop on Machine Learning for CAD, 2023
2022
Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards.
Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022
2019
Proceedings of the 15th Conference on Ph.D. Research in Microelectronics and Electronics, 2019