19 citations · 31 across the 15 of their papers we have counts for
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cs.LG2022
Towards Global Neural Network Abstractions with Locally-Exact Reconstruction
Edoardo Manino, Iury Bessa, Lucas Cordeiro
Neural networks are a powerful class of non-linear functions. However, their black-box nature makes it difficult to explain their behaviour and certify their safety. Abstraction te…
cs.LG2022
CEG4N: Counter-Example Guided Neural Network Quantization Refinement
João Batista P. Matos, Iury Bessa, Edoardo Manino +2
Neural networks are essential components of learning-based software systems. However, their high compute, memory, and power requirements make using them in low resources domains ch…