Philipp Weiß

1. Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study
   2020/02/03 by Ahmed Alqaraawi, Alqaraawi, Ahmed, Martin Schuessler +7 · 9 citations
   Computer Science · Social Sciences · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI
2. Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
   2022/04/25 by Leon Sixt, Sixt, Leon, Martin Schuessler +7 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG)
3. Quantifying the Energy Consumption and Carbon Emissions of LLM Inference via Simulations
   2025/07/15 by Miray Özcan, Philipp Wiesner, Özcan, Miray +5 · 2 voices · 3 citations
   Computer Science · Engineering · #Distributed #FOS: Computer and information sciences #Nuclear reactor physics and engineering #Parallel #and Cluster Computing (cs.DC) #cs.DC