Nael Fasfous

44 papers A* 6A 10C 1Journal 10Unranked 16
YearRankTypeTitle / Venue / Authors
2025 — conf
FLAR-SVD: Fast and Latency-Aware Singular Value Decomposition for Model Compression.
CVPR Workshops
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
2025 — conf
HiFi-LLP: High-Fidelity, Low-Cost Latency Predictors with Confidence for Robust HW-NAS.
SOCC
Shambhavi Balamuthu Sampath, Behzad Shomali, Nael Fasfous, Moritz Thoma, Judeson Anthony Fernando, Lukas Frickenstein, Pierpaolo Morì, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele
2025 A conf
HiFi-SAGE: High Fidelity GraphSAGE-Based Latency Estimators for DNN Optimization.
DATE
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
2025 A* conf
LA-MTL: Latency-Aware Automated Multi-Task Learning.
DAC
Shambhavi Balamuthu Sampath, Sami Sawani, Moritz Thoma, Lukas Frickenstein, Pierpaolo Morì, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Ulf Schlichtmann, Claudio Passerone, Walter Stechele
2025 — conf
RepFC: Universal Structural Reparametrization Block for High Performance, Lightweight Deep Neural Networks.
CVPR Workshops
Shambhavi Balamuthu Sampath, Judeson Anthony Fernando, Moritz Thoma, Nael Fasfous, Lukas Frickenstein, Pierpaolo Morì, Manoj Rohit Vemparala, Alexander Frickenstein, Ulf Schlichtmann, Walter Stechele
2025 J jnl
SpikeClouds: Streaming Spike-Based Processing of LiDAR for Fast and Efficient Object Detection.
IEEE Robotics Autom. Lett.
Michael Neumeier, Nael Fasfous, Bing Li, Axel von Arnim
2025 A* conf
SuperFast: Fast Supernet Training Using Initial Knowledge.
DAC
Moritz Thoma, Emad Aghajanzadeh, Shambhavi Balamuthu Sampath, Pierpaolo Morì, Nael Fasfous, Alexander Frickenstein, Manoj Rohit Vemparala, Daniel Mueller-Gritschneder, Ulf Schlichtmann
2025 — conf
Uncertainty Aware Training to Improve Uncertainty Active Learning for Semantic Segmentation.
CVPR Workshops
Moritz Thoma, Tobias Preintner, Emad Aghajanzadeh, Shambhavi Balamuthu Sampath, Pierpaolo Morì, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Daniel Mueller-Gritschneder, Ulf Schlichtmann
2025 J jnl
ZuSE-KI-Mobil: AI Chip Design Platform for Automotive and Industrial Applications.
IEEE Trans. Very Large Scale Integr. Syst.
Shaown Mojumder, Simon Friedrich, Emil Matús, Matthias Lüders, Martin Friedrich, Oliver Renke, Holger Blume, Markus Kock, Gregor Schewior, Darius Grantz, Jens Benndorf, Julian Höfer, Patrick Schmidt, Jürgen Becker, Nael Fasfous, Pierpaolo Morì, Hans-Jörg Vögel, Samira Ahmadifarsani, Leonidas Kontopoulos, Ulf Schlichtmann, Yun-Jin Li, Gerhard P. Fettweis
2024 A conf
MATAR: Multi-Quantization-Aware Training for Accurate and Fast Hardware Retargeting.
DATE
Pierpaolo Morì, Moritz Thoma, Lukas Frickenstein, Shambhavi Balamuthu Sampath, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele, Daniel Mueller-Gritschneder, Claudio Passerone
2024 — conf
Pruning as a Binarization Technique.
CVPR Workshops
Lukas Frickenstein, Pierpaolo Morì, Shambhavi Balamuthu Sampath, Moritz Thoma, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Christian Unger, Claudio Passerone, Walter Stechele
2024 A conf
Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge.
WACV
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
2024 — conf
ZuSE-KI-Mobil AI Chip Design Platform: An Overview.
NorCAS
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
2023 — conf
Adversarial Robustness of Multi-bit Convolutional Neural Networks.
IntelliSys (3)
Lukas Frickenstein, Shambhavi Balamuthu Sampath, Pierpaolo Morì, Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Christian Unger, Claudio Passerone, Walter Stechele
2023 A conf
Genetic Algorithm-based Framework for Layer-Fused Scheduling of Multiple DNNs on Multi-core Systems.
DATE
Sebastian Karl, Arne Symons, Nael Fasfous, Marian Verhelst
2023 — conf
Lightweight Instruction Set for Flexible Dilated Convolutions and Mixed-Precision Operands.
ISQED
Simon Friedrich, Shambhavi Balamuthu Sampath, Robert Wittig, Manoj Rohit Vemparala, Nael Fasfous, Emil Matús, Walter Stechele, Gerhard P. Fettweis
2023 A conf
The ZuSE-KI-Mobil AI Accelerator SoC: Overview and a Functional Safety Perspective.
DATE
Fabian Kempf, Julian Höfer, Tanja Harbaum, Jürgen Becker, Nael Fasfous, Alexander Frickenstein, Hans-Jörg Vögel, Simon Friedrich, Robert Wittig, Emil Matús, Gerhard P. Fettweis, Matthias Lüders, Holger Blume, Jens Benndorf, Darius Grantz, Martin Zeller, Dietmar Engelke, Karl-Heinz Eickel
2023 A* conf
WinoTrain: Winograd-Aware Training for Accurate Full 8-bit Convolution Acceleration.
DAC
Pierpaolo Morì, Shambhavi Balamuthu Sampath, Lukas Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Walter Stechele, Claudio Passerone
2022 A* conf
Accelerating and pruning CNNs for semantic segmentation on FPGA.
DAC
Pierpaolo Morì, Manoj Rohit Vemparala, Nael Fasfous, Saptarshi Mitra, Sreetama Sarkar, Alexander Frickenstein, Lukas Frickenstein, Domenik Helms, Naveen Shankar Nagaraja, Walter Stechele, Claudio Passerone
2022 A conf
AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms.
DATE
Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Driton Salihu, Julian Höfer, Anmol Singh, Naveen Shankar Nagaraja, Hans-Jörg Vögel, Nguyen Anh Vu Doan, Maurizio Martina, Jürgen Becker, Walter Stechele
2022 J jnl
Fine-Grained Power Modeling of Multicore Processors Using FFNNs.
Int. J. Parallel Program.
Mark Sagi, Nguyen Anh Vu Doan, Nael Fasfous, Thomas Wild, Andreas Herkersdorf
2022 J jnl
HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology.
Leibniz Trans. Embed. Syst.
Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Emanuele Valpreda, Manfredi Camalleri, Qi Zhao, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele
2022 — —
Hardware-Software Co-Design of Deep Neural Networks: From Handcrafted to Automated Design and Deployment.
Nael Fasfous
2022 A conf
Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs.
DATE
Nael Fasfous, Lukas Frickenstein, Michael Neumeier, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Maurizio Martina, Walter Stechele
2021 — conf
Adversarial Robust Model Compression Using In-Train Pruning.
CVPR Workshops
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
2021 A* conf
Binary-LoRAX: Low-Latency Runtime Adaptable XNOR Classifier for Semi-Autonomous Grasping with Prosthetic Hands.
ICRA
Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Mohamed Badawy, Felix Hundhausen, Julian Höfer, Naveen Shankar Nagaraja, Christian Unger, Hans-Jörg Vögel, Jürgen Becker, Tamim Asfour, Walter Stechele
2021 — conf
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices.
IPDPS Workshops
Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Lukas Frickenstein, Mohamed Badawy, Walter Stechele
2021 J jnl
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices.
CoRR
Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Lukas Frickenstein, Walter Stechele
2021 J jnl
BreakingBED - Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks.
CoRR
Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2021 — conf
BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks.
IntelliSys (1)
Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2021 J jnl
Exploring a Hybrid Voting-based Eviction Policy for Caches and Sparse Directories on Manycore Architectures.
Microprocess. Microsystems
Akshay Srivatsa, Nael Fasfous, Nguyen Anh Vu Doan, Sebastian Nagel, Thomas Wild, Andreas Herkersdorf
2021 J jnl
HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology.
ACM Trans. Embed. Comput. Syst.
Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Driton Salihu, Nguyen Anh Vu Doan, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele
2021 A conf
Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization.
BMVC
Manoj Rohit Vemparala, Nael Fasfous, Lukas Frickenstein, Alexander Frickenstein, Anmol Singh, Driton Salihu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2021 C conf
Investigating Binary Neural Networks for Traffic Sign Detection and Recognition.
IV
Ee Heng Chen, Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Ahmed Mzid, Naveen Shankar Nagaraja, Jöran Zeisler, Walter Stechele
2021 J jnl
L2PF - Learning to Prune Faster.
CoRR
Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Mhd Ali Moraly, Aquib Jamal, Lukas Frickenstein, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2021 A conf
Long Short-Term Memory Neural Network-based Power Forecasting of Multi-Core Processors.
DATE
Mark Sagi, Martin Rapp, Heba Khdr, Yizhe Zhang, Nael Fasfous, Nguyen Anh Vu Doan, Thomas Wild, Jörg Henkel, Andreas Herkersdorf
2021 — conf
Pruning CNNs for LiDAR-based Perception in Resource Constrained Environments.
IV Workshops
Manoj Rohit Vemparala, Anmol Singh, Ahmed Mzid, Nael Fasfous, Alexander Frickenstein, Florian Mirus, Hans-Jörg Vögel, Naveen Shankar Nagaraja, Walter Stechele
2020 A* conf
ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks.
DAC
Alexander Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen Shankar Nagaraja, Christian Unger, Walter Stechele
2020 J jnl
ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks.
CoRR
Alexander Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen Shankar Nagaraja, Christian Unger, Walter Stechele
2020 — conf
Fine-Grained Power Modeling of Multicore Processors Using FFNNs.
SAMOS
Mark Sagi, Nguyen Anh Vu Doan, Nael Fasfous, Thomas Wild, Andreas Herkersdorf
2020 — conf
HyVE: A Hybrid Voting-based Eviction Policy for Caches.
NorCAS
Akshay Srivatsa, Sebastian Nagel, Nael Fasfous, Nguyen Anh Vu Doan, Thomas Wild, Andreas Herkersdorf
2020 — conf
L2PF - Learning to Prune Faster.
CVIP (3)
Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Mhd Ali Moraly, Aquib Jamal, Lukas Frickenstein, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele
2020 — conf
On-Chip Democracy: A Study on the Use of Voting Systems for Computer Cache Memory Management.
IEEM
Nguyen Anh Vu Doan, Akshay Srivatsa, Nael Fasfous, Sebastian Nagel, Thomas Wild, Andreas Herkersdorf
2020 A conf
OrthrusPE: Runtime Reconfigurable Processing Elements for Binary Neural Networks.
DATE
Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele