Learning to Translate Between Real World and Simulated 3D Sensors While Transferring Task Models. - Michael Essich; Dennis Ludl; Thomas Gulde; Cristóbal Curio (3DV, 2019)

Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards. - Yannick Uhlmann; Michael Essich; Lennart Bramlage; Jürgen Scheible; Cristóbal Curio (MLCAD, 2022)

Auxiliary Task-Guided CycleGAN for Black-Box Model Domain Adaptation. - Michael Essich; Markus Rehmann; Cristóbal Curio (WACV, 2023)