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

collaborators
Showing 2023Show all

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.AI2023

Scalable Concept Extraction in Industry 4.0

Andrés Felipe Posada-Moreno, Kai Müller, Florian Brillowski +3

The industry 4.0 is leveraging digital technologies and machine learning techniques to connect and optimize manufacturing processes. Central to this idea is the ability to transfor…