Artificial

Intelligence

Lab

Education

• 2010 - 2013: Bachelor of Science "Biotechnology/Bioinformatics", Mittweida University of Applied Sciences
• 2013 - 2016: Master of Science "Bioinformatics", University of Potsdam
• 2016 - 2019: Researcher/PhD student at the Machine Learning in Cognitive Science Lab, University of Potsdam
• Since 2019: Researcher/PhD student at the AI Lab, OVGU

Main Research Focus

• explainable Artificial Intelligence (XAI)
• analyzing and visualizing Deep Learning models (aka Introspection)

Further Interests

• visualizing and communicating science
  (e.g. for exhibits, public talks)

Selected Publications:

• Visualizing Deep Neural Networks with Topographic Activation Maps.
  Valerie Krug; Raihan Kabir Ratul; Christopher Olson & Sebastian Stober.
  In HHAI 2023: Augmenting Human Intellect. IOS Press, 2023. 138-152.
  [URL] [github]

• Analyzing and Visualizing Deep Neural Networks for Speech Recognition with Saliency-Adjusted Neuron Activation Profiles.
  Valerie Krug; Maral Ebrahimzadeh; Jost Alemann; Jens Johannsmeier & Sebastian Stober.
  In: Electronics 10 (11), 1350, 2021.
  [URL]

• Visualizing Deep Neural Networks for Speech Recognition with Learned Topographic Filter Maps.
  Valerie Krug & Sebastian Stober.
  In: Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019.

• Neuron Activation Profiles for Interpreting Convolutional Speech Recognition Models.
  Valerie Krug; René Knaebel & Sebastian Stober.
  In: NeurIPS 2018 Interpretability and Robustness for Audio, Speech and Language Workshop (IRASL’18), 2018.

Below, you can see the classes I'm currently involved in.

• Introduction to Deep Learning - Übung Praxis ( Link zur LV im LSF )