5 citations · 14 across the 5 of their papers we have counts for
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cs.LG2022★ 4 cited
Neural Activation Patterns (NAPs): Visual Explainability of Learned Concepts
Alex Bäuerle, Daniel Jönsson, Timo Ropinski
A key to deciphering the inner workings of neural networks is understanding what a model has learned. Promising methods for discovering learned features are based on analyzing acti…
cs.LG2020★ 5 cited
exploRNN: Understanding Recurrent Neural Networks through Visual Exploration
Alex Bäuerle, Patrick Albus, Raphael Störk +2
Due to the success of deep learning (DL) and its growing job market, students and researchers from many areas are interested in learning about DL technologies. Visualization has pr…