Emanuele Valpreda

According to our database, Emanuele Valpreda authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

ERODE: Error Resilient Object DetEction by Recovering Bounding Box and Class Information.

Emanuele Valpreda, Giuseppe Palumbo, Michele Caon, Guido Masera, Maurizio Martina

Proceedings of the 18th Conference on Ph.D Research in Microelectronics and Electronics, 2023

TEMET: Truncated REconfigurable Multiplier with Error Tuning.

Flavia Guella, Emanuele Valpreda, Michele Caon, Guido Masera, Maurizio Martina

Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

2022

HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology.

Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Emanuele Valpreda, Manfredi Camalleri, Qi Zhao, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele

Leibniz Trans. Embed. Syst., 2022

NLCMAP: A Framework for the Efficient Mapping of Non-Linear Convolutional Neural Networks on FPGA Accelerators.

Giuseppe Aiello, Beatrice Bussolino, Emanuele Valpreda, Massimo Ruo Roch, Guido Masera, Maurizio Martina, Stefano Marsi

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms.

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

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 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

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology.

Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Driton Salihu, Nguyen Anh Vu Doan, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele

ACM Trans. Embed. Comput. Syst., 2021