457 citations · 547 across the 21 of their papers we have counts for
6 papers · 1 filter
A benchmark suite of intracellular Boolean model variants and multiscale simulations for computational biology
Marco Masera, Riccardo Smeriglio, Roberta Bardini +2
We present PhysiBench, an open resource for developing and evaluating computational methods in systems biology including a benchmark suite of 612 executable intracellular Boolean r…
InjectV: Modeling Fault Injection Attacks in RISC-V Simulation Environment
Niccolò Lentini, Giorgio Fardo, Stefano Di Carlo +1
Fault Injection Attacks (FIAs) are a significant threat to hardware security, capable of compromising systems by inducing malicious faults in computation or storage. Evaluating res…
GAP: Geometric Anchor Pre-training for Data-Efficient Visuomotor Learning of Manipulation Tasks
Davide Buoso, Andrea Protopapa, Stefano Di Carlo +2
Learning visuomotor policies from scarce expert demonstrations remains a core challenge in robotic manipulation. A primary hurdle lies in distilling high-dimensional RGB representa…
NeuroTrain: Surveying Local Learning Rules for Spiking Neural Networks with an Open Benchmarking Framework
Alessio Caviglia, Filippo Marostica, Roberta Bardini +2
The rapid expansion of spiking neural networks (SNNs) has led to a proliferation of training algorithms that differ widely in biological inspiration, computational structure, and h…
Elastic Spiking Transformers for Efficient Gesture Understanding
Alberto Ancilotto, Gianluca Amprimo, Stefano Di Carlo +1
Spiking Neural Networks (SNNs), particularly Spiking Transformers, offer energy-efficient processing of event-based sensor data for healthcare applications. Yet current architectur…
Experimental Analysis of FreeRTOS Dependability through Targeted Fault Injection Campaigns
Luca Mannella, Stefano Di Carlo, Alessandro Savino
Real-Time Operating Systems (RTOSes) play a crucial role in safety-critical domains, where deterministic and predictable task execution is essential. Yet they are increasingly expo…