| 2025 | ETS | LLM-aided Test Generation for Custom Neural Network Hardware Accelerators. | Federico Nicols Peccia, Tobias Hald, Oliver Bringmann |
| 2025 | ICCAD | Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs. | Federico Nicols Peccia, Frederik Haxel, Oliver Bringmann |
| 2024 | DATE | DIAPASON: Differentiable Allocation, Partitioning and Fusion of Neural Networks for Distributed Inference. | Federico Nicols Peccia, Alexander Viehl, Oliver Bringmann |
| 2024 | DSD | Efficient Edge AI: Deploying Convolutional Neural Networks on FPGA with the Gemmini Accelerator. | Federico Nicols Peccia, Svetlana Pavlitska, Tobias Fleck, Oliver Bringmann |
| 2024 | IJCNN | Iterative Filter Pruning for Concatenation-based CNN Architectures. | Svetlana Pavlitska, Oliver Bagge, Federico Nicols Peccia, Toghrul Mammadov, J. Marius Zllner |
| 2023 | DASC | Characterization of Execution Time Variability in FPGA-Based AI-Accelerators. | Maximilian Kirschner, Federico Nicols Peccia, Felix Thmmes, Victor Pazmino Betancourt, Oliver Bringmann, Jrgen Becker |