no code implementations • 11 Apr 2024 • Poulami Sinhamahapatra, Franziska Schwaiger, Shirsha Bose, Huiyu Wang, Karsten Roscher, Stephan Guennemann
It is an inference-based method that does not require training on the domain dataset and relies on extracting relevant features from self-supervised pre-trained models.
no code implementations • 3 Apr 2024 • Poulami Sinhamahapatra, Suprosanna Shit, Anjany Sekuboyina, Malek Husseini, David Schinz, Nicolas Lenhart, Joern Menze, Jan Kirschke, Karsten Roscher, Stephan Guennemann
In this work, we propose a novel interpretable-by-design method, ProtoVerse, to find relevant sub-parts of vertebral fractures (prototypes) that reliably explain the model's decision in a human-understandable way.
1 code implementation • 27 Mar 2023 • Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Guennemann
As the use of machine learning continues to expand, the importance of ensuring its safety cannot be overstated.
no code implementations • 25 Sep 2019 • Aleksei Kuvshinov, Stephan Guennemann
Solving the single initial QP already results in a lower bound on the DtDB and can be used as a robustness certificate of the classifier around a given sample.
no code implementations • 15 May 2019 • Subhabrata Mukherjee, Stephan Guennemann
As additional use-cases, we show that GhostLink can be used to differentiate between users' latent preferences and influenced ones, as well as to detect influential users based on the learned influence graph.
no code implementations • 7 May 2017 • Subhabrata Mukherjee, Stephan Guennemann, Gerhard Weikum
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