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Publication search results
found 9 matches
- 2024
- Flavia Guella
, Emanuele Valpreda, Michele Caon, Guido Masera, Maurizio Martina:
MARLIN: A Co-Design Methodology for Approximate ReconfigurabLe Inference of Neural Networks at the Edge. IEEE Trans. Circuits Syst. I Regul. Pap. 71(5): 2105-2118 (2024) - Alessandra Dolmeta, Emanuele Valpreda, Maurizio Martina, Guido Masera:
Implementation and integration of NTT/INTT accelerator on RISC-V for CRYSTALS-Kyber. CF (Companion) 2024 - 2023
- Flavia Guella, Emanuele Valpreda, Michele Caon, Guido Masera, Maurizio Martina:
TEMET: Truncated REconfigurable Multiplier with Error Tuning. ApplePies 2023: 370-377 - Emanuele Valpreda, Giuseppe Palumbo, Michele Caon, Guido Masera, Maurizio Martina:
ERODE: Error Resilient Object DetEction by Recovering Bounding Box and Class Information. PRIME 2023: 277-280 - 2022
- Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Emanuele Valpreda, Manfredi Camalleri, Qi Zhao, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele:
HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology. Leibniz Trans. Embed. Syst. 8(1): 03:1-03:30 (2022) - Nael Fasfous, Lukas Frickenstein, Michael Neumeier, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Maurizio Martina, Walter Stechele:
Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs. DATE 2022: 706-711 - 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:
AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms. DATE 2022: 238-243 - Giuseppe Aiello, Beatrice Bussolino, Emanuele Valpreda, Massimo Ruo Roch, Guido Masera, Maurizio Martina, Stefano Marsi:
NLCMAP: A Framework for the Efficient Mapping of Non-Linear Convolutional Neural Networks on FPGA Accelerators. ICIP 2022: 926-930 - 2021
- Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Driton Salihu, Nguyen Anh Vu Doan, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele:
HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology. ACM Trans. Embed. Comput. Syst. 20(5s): 66:1-66:25 (2021)
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