Lemmerich, Florian

1. Similarity of Neural Network Models: A Survey of Functional and Representational Measures
   2023/05/10 by Max Klabunde, Tobias Schumacher, Klabunde, Max +5 · 23 citations
   Computer Science · Materials Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Model Reduction and Neural Networks #Neural Networks and Applications
2. ReSi: A Comprehensive Benchmark for Representational Similarity Measures
   2024/08/01 by Klabunde, Max, Wald, Tassilo, Schumacher, Tobias +3 · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Why the World Reads Wikipedia: Beyond English Speakers
   2018/12/02 by Florian Lemmerich, Lemmerich, Florian, Diego Sáez-Trumper +5 · 1 citation
   Computer Science · Social Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Human-Computer Interaction (cs.HC) #Social Media and Politics #Social and Information Networks (cs.SI) #Wikis in Education and Collaboration
4. The POLAR Framework: Polar Opposites Enable Interpretability of\n Pre-Trained Word Embeddings
   2020/01/27 by Binny Mathew, Mathew, Binny, Sandipan Sikdar +5 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
5. Updating Embeddings for Dynamic Knowledge Graphs
   2021/09/22 by Wewer, Christopher, Lemmerich, Florian, Cochez, Michael · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. On the Prediction Instability of Graph Neural Networks
   2022/05/20 by Max Klabunde, Florian Lemmerich, Klabunde, Max +1 · 1 citation
   Computer Science · Materials Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Neural Networks and Applications