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Pierpaolo Morì
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2020 – today
- 2025
[c14]Shambhavi Balamuthu Sampath, Judeson Anthony Fernando, Moritz Thoma, Nael Fasfous, Lukas Frickenstein, Pierpaolo Morì, Manoj Rohit Vemparala, Alexander Frickenstein, Ulf Schlichtmann, Walter Stechele:
RepFC: Universal Structural Reparametrization Block for High Performance, Lightweight Deep Neural Networks. CVPR Workshops 2025: 1858-1866
[c13]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:
FLAR-SVD: Fast and Latency-Aware Singular Value Decomposition for Model Compression. CVPR Workshops 2025: 1898-1907
[c12]Moritz Thoma, Tobias Preintner, Emad Aghajanzadeh, Shambhavi Balamuthu Sampath, Pierpaolo Morì, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
Uncertainty Aware Training to Improve Uncertainty Active Learning for Semantic Segmentation. CVPR Workshops 2025: 4401-4411
[c11]Shambhavi Balamuthu Sampath, Sami Sawani, Moritz Thoma, Lukas Frickenstein, Pierpaolo Morì, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Ulf Schlichtmann, Claudio Passerone, Walter Stechele:
LA-MTL: Latency-Aware Automated Multi-Task Learning. DAC 2025: 1-7
[c10]Moritz Thoma, Emad Aghajanzadeh, Shambhavi Balamuthu Sampath, Pierpaolo Morì, Nael Fasfous, Alexander Frickenstein, Manoj Rohit Vemparala, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
SuperFast: Fast Supernet Training Using Initial Knowledge. DAC 2025: 1-7
[c9]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:
HiFi-SAGE: High Fidelity GraphSAGE-Based Latency Estimators for DNN Optimization. DATE 2025: 1-7
[c8]Shambhavi Balamuthu Sampath, Behzad Shomali, Nael Fasfous, Moritz Thoma, Judeson Anthony Fernando, Lukas Frickenstein, Pierpaolo Morì, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele:
HiFi-LLP: High-Fidelity, Low-Cost Latency Predictors with Confidence for Robust HW-NAS. SOCC 2025: 1-6- 2024
[c7]Lukas Frickenstein, Pierpaolo Morì, Shambhavi Balamuthu Sampath, Moritz Thoma, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Christian Unger, Claudio Passerone, Walter Stechele:
Pruning as a Binarization Technique. CVPR Workshops 2024: 2131-2140
[c6]Pierpaolo Morì, Moritz Thoma, Lukas Frickenstein, Shambhavi Balamuthu Sampath, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele, Daniel Mueller-Gritschneder, Claudio Passerone:
MATAR: Multi-Quantization-Aware Training for Accurate and Fast Hardware Retargeting. DATE 2024: 1-6
[c5]Shaown Mojumder, Simon Friedrich, Emil Matús, Gerhard P. Fettweis, Matthias Lüders, Martin Friedrich
, Oliver Renke, Holger Blume, Julian Höfer
, Patrick Schmidt
, Jürgen Becker, Darius Grantz, Markus Kock, Jens Benndorf, Nael Fasfous, Pierpaolo Morì, Hans-Jörg Vögel, Samira Ahmadifarsani, Leonidas Kontopoulos, Ulf Schlichtmann, Kay Bierzynski:
ZuSE-KI-Mobil AI Chip Design Platform: An Overview. NorCAS 2024: 1-7
[c4]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:
Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge. WACV 2024: 53-62- 2023
[c3]Pierpaolo Morì, Shambhavi Balamuthu Sampath, Lukas Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Walter Stechele, Claudio Passerone:
WinoTrain: Winograd-Aware Training for Accurate Full 8-bit Convolution Acceleration. DAC 2023: 1-6
[c2]Lukas Frickenstein, Shambhavi Balamuthu Sampath, Pierpaolo Morì, Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Christian Unger, Claudio Passerone, Walter Stechele:
Adversarial Robustness of Multi-bit Convolutional Neural Networks. IntelliSys (3) 2023: 157-174- 2022
[c1]Pierpaolo Morì, Manoj Rohit Vemparala, Nael Fasfous, Saptarshi Mitra
, Sreetama Sarkar, Alexander Frickenstein, Lukas Frickenstein, Domenik Helms, Naveen Shankar Nagaraja, Walter Stechele, Claudio Passerone:
Accelerating and pruning CNNs for semantic segmentation on FPGA. DAC 2022: 145-150
Coauthor Index

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