activity
20202026
most citedUnder the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations

13 citations · 15 across the 5 of their papers we have counts for

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2 papers · 1 filter

cs.CV2023

Scale-Preserving Automatic Concept Extraction (SPACE)

Andrés Felipe Posada-Moreno, Lukas Kreisköther, Tassilo Glander +1

Convolutional Neural Networks (CNN) have become a common choice for industrial quality control, as well as other critical applications in the Industry 4.0. When these CNNs behave i…

cs.CV2022

ECLAD: Extracting Concepts with Local Aggregated Descriptors

Andres Felipe Posada-Moreno, Nikita Surya, Sebastian Trimpe

Convolutional neural networks (CNNs) are increasingly being used in critical systems, where robustness and alignment are crucial. In this context, the field of explainable artifici…