18 citations · 29 across the 16 of their papers we have counts for
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cs.AR2025
Open-source Stand-Alone Versatile Tensor Accelerator
Anthony Faure-Gignoux, Kevin Delmas, Adrien Gauffriau +1
Machine Learning (ML) applications demand significant computational resources, posing challenges for safety-critical domains like aeronautics. The Versatile Tensor Accelerator (VTA…
cs.AI2025
Implementation of airborne ML models with semantics preservation
Nicolas Valot, Louis Fabre, Benjamin Lesage +2
Machine Learning (ML) may offer new capabilities in airborne systems. However, as any piece of airborne systems, ML-based systems will be required to guarantee their safe operation…