Luciano Prono

According to our database, Luciano Prono authored at least 24 papers between 2019 and 2025.

Collaborative distances:

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

2025

Vanishing Contributions: A Unified Approach to Smoothly Transition Neural Models into Compressed Form.

Lorenzo Nikiforos, Charalampos Antoniadis, Luciano Prono, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

CoRR, October, 2025

On the Universal Approximation Properties of Deep Neural Networks Using MAM Neurons.

Philippe Bich, Andriy Enttsel, Luciano Prono, Alex Marchioni, Fabio Pareschi, Mauro Mangia, Gianluca Setti, Riccardo Rovatti

IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

A Multiply-And-Max/Min Neuron Paradigm for Aggressively Prunable Deep Neural Networks.

Luciano Prono, Philippe Bich, Chiara Boretti, Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Athar: Biosignals Dataset from a Para-Handcycling ride across Saudi Arabia.

Elisabetta Spinazzola, Luciano Prono, Matteo Parsani, Eleonora Guanziroli, Franco Molteni, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

Dataset, May, 2025

A Neural Network-Based Controller for DC-DC Buck Converter for Improved Resilience.

Lorenzo Nikiforos, Francesco Gabriele, Luciano Prono, Fabio Pareschi, Gianluca Setti

Proceedings of the 20th International Conference on PhD Research in Microelectronics and Electronics, 2025

A simple approach to ECG Motion Artifacts Reduction by MDWD Coefficients Removal.

Elisabetta Spinazzola, Luciano Prono, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

AI-Based Optimization of a DC-DC Buck Converter Control Network Across DCM and CCM Operating Region.

Lorenzo Nikiforos, Giuseppe Gabriele, Francesco Gabriele, Luciano Prono, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

2024

Adaptive Robotic Arm Control with a Spiking Recurrent Neural Network on a Digital Accelerator.

Alejandro Linares-Barranco, Luciano Prono, Robert Legenstein, Giacomo Indiveri, Charlotte Frenkel

CoRR, 2024

Event-Based Eye Tracking. AIS 2024 Challenge Survey.

Zuowen Wang, Chang Gao, Zongwei Wu, Marcos V. Conde, Radu Timofte, Shih-Chii Liu, Qinyu Chen, Zhengjun Zha, Wei Zhai, Han Han, Bohao Liao, Yuliang Wu, Zengyu Wan, Zhong Wang, Yang Cao, Ganchao Tan, Jinze Chen, Yan Ru Pei, Sasskia Brüers, Sébastien M. Crouzet, Douglas McLelland, Olivier Coenen, Baoheng Zhang, Yizhao Gao, Jingyuan Li, Hayden Kwok-Hay So, Philippe Bich, Chiara Boretti, Luciano Prono, Mircea Lica, David Dinucu-Jianu, Catalin Grîu, Xiaopeng Lin, Hongwei Ren, Bojun Cheng, Xinan Zhang, Valentin Vial, Anthony Yezzi, James Tsai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Memory in Motion: Exploring Leaky Integration of Time Surfaces for Event-based Eye-tracking.

Chiara Boretti, Philippe Bich, Luciano Prono, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024

Optimizing Vision Transformers: Leveraging Max and Min Operations for Efficient Pruning.

Philippe Bich, Chiara Boretti, Luciano Prono, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023

Streaming Algorithms for Subspace Analysis: Comparative Review and Implementation on IoT Devices.

Alex Marchioni, Luciano Prono, Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

IEEE Internet Things J., July, 2023

Multiply-And-Max/min Neurons at the Edge: Pruned Autoencoder Implementation.

Philippe Bich, Luciano Prono, Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Event-based Classification with Recurrent Spiking Neural Networks on Low-end Micro-Controller Units.

Chiara Boretti, Luciano Prono, Charlotte Frenkel, Giacomo Indiveri, Fabio Pareschi, Mauro Mangia, Riccardo Rovatti, Gianluca Setti

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

PEDRo: an Event-based Dataset for Person Detection in Robotics.

Chiara Boretti, Philippe Bich, Fabio Pareschi, Luciano Prono, Riccardo Rovatti, Gianluca Setti

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Non-conventional Sum-and-Max based Neural Network layer for Low Power Classification.

Luciano Prono, Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Aggressively prunable MAM²-based Deep Neural Oracle for ECG acquisition by Compressed Sensing.

Philippe Bich, Luciano Prono, Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021

An MCU Implementation of PCA/PSA Streaming Algorithms for EEG Features Extraction.

Luciano Prono, Alex Marchioni, Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021

2020

Deep Neural Oracles for Short-Window Optimized Compressed Sensing of Biosignals.

Mauro Mangia, Luciano Prono, Alex Marchioni, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

IEEE Trans. Biomed. Circuits Syst., 2020

A passive and low-complexity Compressed Sensing architecture based on a charge-redistribution SAR ADC.

Carmine Paolino, Luciano Prono, Fabio Pareschi, Mauro Mangia, Riccardo Rovatti, Gianluca Setti

Integr., 2020

Deep Neural Oracle With Support Identification in the Compressed Domain.

Luciano Prono, Mauro Mangia, Alex Marchioni, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Low-Power Fixed-Point Compressed Sensing Decoder with Support Oracle.

Luciano Prono, Mauro Mangia, Alex Marchioni, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Low-power ECG acquisition by Compressed Sensing with Deep Neural Oracles.

Mauro Mangia, Alex Marchioni, Luciano Prono, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019

A High-level Implementation Framework for Non-Recurrent Artificial Neural Networks on FPGA.

Luciano Prono, Alex Marchioni, Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

Proceedings of the 15th Conference on Ph.D. Research in Microelectronics and Electronics, 2019