2 papers
cs.LG2026
The Confusion is Real: GRAPHIC -- A Network Science Approach to Confusion Matrices in Deep Learning
Johanna S. Fröhlich, Bastian Heinlein, Jan U. Claar +3
Explainable artificial intelligence has emerged as a promising field of research to address reliability concerns in artificial intelligence. Despite significant progress in explain…
cs.LG2025
Coding for Computation: Efficient Compression of Neural Networks for Reconfigurable Hardware
Hans Rosenberger, Rodrigo Fischer, Johanna S. Fröhlich +2
As state of the art neural networks (NNs) continue to grow in size, their resource-efficient implementation becomes ever more important. In this paper, we introduce a compression s…