%0 Conference Paper %1 conf/mlcad/UhlmannMS23 %A Uhlmann, Yannick %A Moldenhauer, Till %A Scheible, Jürgen %B MLCAD %D 2023 %I IEEE %K dblp %P 1-6 %T Differentiable Neural Network Surrogate Models for gm/ID-based Analog IC Sizing Optimization. %U http://dblp.uni-trier.de/db/conf/mlcad/mlcad2023.html#UhlmannMS23 %@ 979-8-3503-0955-3

@inproceedings{conf/mlcad/UhlmannMS23, added-at = {2024-10-06T00:00:00.000+0200}, author = {Uhlmann, Yannick and Moldenhauer, Till and Scheible, Jürgen}, biburl = {https://www.bibsonomy.org/bibtex/25bae65e1da44a531337f06163a33e5dc/dblp}, booktitle = {MLCAD}, crossref = {conf/mlcad/2023}, ee = {https://doi.org/10.1109/MLCAD58807.2023.10299834}, interhash = {0e74b1a2720f363ff26237657e5a9e36}, intrahash = {5bae65e1da44a531337f06163a33e5dc}, isbn = {979-8-3503-0955-3}, keywords = {dblp}, pages = {1-6}, publisher = {IEEE}, timestamp = {2024-10-07T09:41:40.000+0200}, title = {Differentiable Neural Network Surrogate Models for gm/ID-based Analog IC Sizing Optimization.}, url = {http://dblp.uni-trier.de/db/conf/mlcad/mlcad2023.html#UhlmannMS23}, year = 2023 }