Emanuele Valpreda

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Abstraction Levels

Genetic Algorithm

Convolutional Neural Networks

Top Venues

ACM Trans. Embed. Comput. Syst.

IEEE Trans. Circuits Syst. I Regul. Pap.

Publications

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) (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)
Emanuele Valpreda, Giuseppe Palumbo, Michele Caon, Guido Masera, Maurizio Martina
ERODE: Error Resilient Object DetEction by Recovering Bounding Box and Class Information. PRIME (2023)
Flavia Guella, Emanuele Valpreda, Michele Caon, Guido Masera, Maurizio Martina
TEMET: Truncated REconfigurable Multiplier with Error Tuning. ApplePies (2023)
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)
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)
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)
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) (2022)
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) (2021)