An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models. - Michael J. Klaiber; Sebastian Vogel; Axel Acosta 001; Robert Korn; Leonardo Ecco; Kristine Back; Andre Guntoro; Ingo Feldner (INTESA, 2019)

Enabling Cross-Domain Communication: How to Bridge the Gap between AI and HW Engineers. - Michael J. Klaiber; Axel J. Acosta; Ingo Feldner; Falk Rehm (CoRR, 2021)

The Programming of Deep Learning Accelerators as a Constraint Satisfaction Problem. - Dennis Rieber; Axel Acosta 001; Holger Fröning (CoRR, 2021)

Joint Program and Layout Transformations to Enable Convolutional Operators on Specialized Hardware Based on Constraint Programming. - Dennis Rieber; Axel Acosta 001; Holger Fröning (ACM Trans. Archit. Code Optim., 2022)

Graph Neural Networks for Object Type Classification Based on Automotive Radar Point Clouds and Spectra. - Loveneet Saini; Axel Acosta 001; Gor Hakobyan (ICASSP, 2023)