| 2023 | DDECS | High-Throughput Approximate Multiplication Models in PyTorch. | Elias Trommer, Bernd Waschneck, Akash Kumar |
| 2022 | ICANN | Neural Architecture Search for Low-Precision Neural Networks. | Binyi Wu, Bernd Waschneck, Christian Mayr |
| 2022 | ICCAD | Combining Gradients and Probabilities for Heterogeneous Approximation of Neural Networks. | Elias Trommer, Bernd Waschneck, Akash Kumar |
| 2022 | ICPADS | Prototyping of Low-Cost Configurable Sparse Neural Processing Unit with Buffer and Mixed-Precision Reshapeable MAC Array. | Binyi Wu, Wolfgang Furtner, Bernd Waschneck, Christian Mayr |
| 2022 | ICPR | Hardware-Efficient Ultrasonic Entrance Counting: Comparing Different Machine Learning Approaches. | Tim Langer, Bernd Waschneck, Johannes Partzsch, Florian Kelber, Christian Mayr |
| 2021 | EANN | Squeeze-and-Threshold Based Quantization for Low-Precision Neural Networks. | Binyi Wu, Bernd Waschneck, Christian Mayr |
| 2021 | ICCAD | dCSR: A Memory-Efficient Sparse Matrix Representation for Parallel Neural Network Inference. | Elias Trommer, Bernd Waschneck, Akash Kumar |
| 2020 | ICASSP | Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions. | Simon Mittermaier, Ludwig Krzinger, Bernd Waschneck, Gerhard Rigoll |