L2PF - Learning to Prune Faster. - Manoj Rohit Vemparala; Nael Fasfous; Alexander Frickenstein; Mhd Ali Moraly; Aquib Jamal; Lukas Frickenstein; Christian Unger; Naveen Shankar Nagaraja; Walter Stechele (CVIP (3), 2020)

Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization. - Manoj Rohit Vemparala; Nael Fasfous; Lukas Frickenstein; Alexander Frickenstein; Anmol Singh; Driton Salihu; Christian Unger; Naveen Shankar Nagaraja; Walter Stechele (BMVC, 2021)

Adversarial Robust Model Compression Using In-Train Pruning. - Manoj Rohit Vemparala; Nael Fasfous; Alexander Frickenstein; Sreetama Sarkar; Qi Zhao; Sabine Kuhn; Lukas Frickenstein; Anmol Singh; Christian Unger; Naveen Shankar Nagaraja; Christian Wressnegger; Walter Stechele (CVPR Workshops, 2021)

BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. - Manoj Rohit Vemparala; Alexander Frickenstein; Nael Fasfous; Lukas Frickenstein; Qi Zhao; Sabine Kuhn; Daniel Ehrhardt; Yuankai Wu; Christian Unger; Naveen Shankar Nagaraja; Walter Stechele (IntelliSys (1), 2021)

BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices. - Nael Fasfous; Manoj Rohit Vemparala; Alexander Frickenstein; Lukas Frickenstein; Mohamed Badawy; Walter Stechele (IPDPS Workshops, 2021)

BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices. - Nael Fasfous; Manoj Rohit Vemparala; Alexander Frickenstein; Lukas Frickenstein; Walter Stechele (CoRR, 2021)

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)

Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs. - Nael Fasfous; Lukas Frickenstein; Michael Neumeier; Manoj Rohit Vemparala; Alexander Frickenstein; Emanuele Valpreda; Maurizio Martina; Walter Stechele (DATE, 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)

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)

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)