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Featured Co-authors

Muhammad Shafique
112 publications
Warren J. Gross
48 publications
Muhammad Abdullah Hanif
45 publications
Alberto Marchisio
29 publications
Carlo Condo
25 publications
Maurizio Martina
21 publications
Beatrice Bussolino
7 publications
Alessio Colucci
7 publications
Giuseppe Maria Sarda
2 publications
Marco Vacca
2 publications
Giacomo Pira
2 publications

∙ 04/11/2023

Custom Memory Design for Logic-in-Memory: Drawbacks and Improvements over Conventional Memories

The speed of modern digital systems is severely limited by memory latenc...

0 Fabrizio Ottati, et al. ∙

∙ 04/08/2023

SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers

Transformers' compute-intensive operations pose enormous challenges for ...

0 Alberto Marchisio, et al. ∙

∙ 08/03/2022

LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor

Autonomous Driving (AD) related features represent important elements fo...

0 Alberto Viale, et al. ∙

∙ 07/31/2022

CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks

In today's era of smart cyber-physical systems, Deep Neural Networks (DN...

0 Muhammad Abdullah Hanif, et al. ∙

∙ 06/21/2022

Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations

Complex Deep Neural Networks such as Capsule Networks (CapsNets) exhibit...

0 Alberto Marchisio, et al. ∙

∙ 09/01/2021

R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors

Spiking Neural Networks (SNNs) aim at providing energy-efficient learnin...

7 Alberto Marchisio, et al. ∙

∙ 07/01/2021

DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks

Spiking Neural Networks (SNNs), despite being energy-efficient when impl...

0 Alberto Marchisio, et al. ∙

∙ 07/01/2021

CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor

Autonomous Driving (AD) related features provide new forms of mobility t...

7 Alberto Viale, et al. ∙

∙ 12/21/2020

Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead

Currently, Machine Learning (ML) is becoming ubiquitous in everyday life...

39 Maurizio Capra, et al. ∙

∙ 04/15/2020

Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks

Capsule Networks (CapsNets), recently proposed by the Google Brain team,...

0 Alberto Marchisio, et al. ∙

∙ 05/24/2019

X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations

Convolutional Neural Networks (CNNs) are extensively in use due to their...

0 Alberto Marchisio, et al. ∙

∙ 02/02/2018

A Multi-Kernel Multi-Code Polar Decoder Architecture

Polar codes have received increasing attention in the past decade, and h...

0 Gabriele Coppolino, et al. ∙

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