Accelerating and pruning CNNs for semantic segmentation on FPGA. - Pierpaolo Morì; Manoj Rohit Vemparala; Nael Fasfous; Saptarshi Mitra; Sreetama Sarkar; Alexander Frickenstein; Lukas Frickenstein; Domenik Helms; Naveen Shankar Nagaraja; Walter Stechele; Claudio Passerone (DAC, 2022)

WinoTrain: Winograd-Aware Training for Accurate Full 8-bit Convolution Acceleration. - Pierpaolo Morì; Shambhavi Balamuthu Sampath; Lukas Frickenstein; Manoj Rohit Vemparala; Nael Fasfous; Alexander Frickenstein; Walter Stechele; Claudio Passerone (DAC, 2023)

Adversarial Robustness of Multi-bit Convolutional Neural Networks. - Lukas Frickenstein; Shambhavi Balamuthu Sampath; Pierpaolo Morì; Manoj Rohit Vemparala; Nael Fasfous; Alexander Frickenstein; Christian Unger; Claudio Passerone; Walter Stechele (IntelliSys (3), 2023)

Pruning as a Binarization Technique. - Lukas Frickenstein; Pierpaolo Morì; Shambhavi Balamuthu Sampath; Moritz Thoma; Nael Fasfous; Manoj Rohit Vemparala; Alexander Frickenstein; Christian Unger; Claudio Passerone; Walter Stechele (CVPR Workshops, 2024)

MATAR: Multi-Quantization-Aware Training for Accurate and Fast Hardware Retargeting. - Pierpaolo Morì; Moritz Thoma; Lukas Frickenstein; Shambhavi Balamuthu Sampath; Nael Fasfous; Manoj Rohit Vemparala; Alexander Frickenstein; Walter Stechele; Daniel Mueller-Gritschneder; Claudio Passerone (DATE, 2024)

ZuSE-KI-Mobil AI Chip Design Platform: An Overview. - Shaown Mojumder; Simon Friedrich; Emil Matús; Gerhard P. Fettweis; Matthias Lüders; Martin Friedrich; Oliver Renke; Holger Blume; Julian Höfer; Patrick Schmidt; Jürgen Becker 001; Darius Grantz; et al. (NorCAS, 2024)

Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge. - Pierpaolo Morì; Lukas Frickenstein; Shambhavi Balamuthu Sampath; Moritz Thoma; Nael Fasfous; Manoj Rohit Vemparala; Alexander Frickenstein; Christian Unger; Walter Stechele; Daniel Mueller-Gritschneder; Claudio Passerone (WACV, 2024)

RepFC: Universal Structural Reparametrization Block for High Performance, Lightweight Deep Neural Networks. - Shambhavi Balamuthu Sampath; Judeson Anthony Fernando; Moritz Thoma; Nael Fasfous; Lukas Frickenstein; Pierpaolo Morì; Manoj Rohit Vemparala; Alexander Frickenstein; Ulf Schlichtmann; Walter Stechele (CVPR Workshops, 2025)

Uncertainty Aware Training to Improve Uncertainty Active Learning for Semantic Segmentation. - Moritz Thoma; Tobias Preintner; Emad Aghajanzadeh; Shambhavi Balamuthu Sampath; Pierpaolo Morì; Nael Fasfous; Manoj Rohit Vemparala; Alexander Frickenstein; Daniel Mueller-Gritschneder; Ulf Schlichtmann (CVPR Workshops, 2025)

FLAR-SVD: Fast and Latency-Aware Singular Value Decomposition for Model Compression. - Moritz Thoma; Jorge Villasante; Emad Aghajanzadeh; Shambhavi Balamuthu Sampath; Pierpaolo Morì; Maximilian Groetzinger; Daniil Dylkin; Manoj Rohit Vemparala; Nael Fasfous; Alexander Frickenstein; Daniel Mueller-Gritschneder; Ulf Schlichtmann (CVPR Workshops, 2025)

HiFi-SAGE: High Fidelity GraphSAGE-Based Latency Estimators for DNN Optimization. - Shambhavi Balamuthu Sampath; Leon Hecht; Moritz Thoma; Lukas Frickenstein; Pierpaolo Morì; Nael Fasfous; Manoj Rohit Vemparala; Alexander Frickenstein; Walter Stechele; Daniel Mueller-Gritschneder; Claudio Passerone (DATE, 2025)