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Compression Methods for Robustness and Transferability (COMFORT)

Project Activities

Annual Meeting 2026 for our Projekt COMFORT in Hamburg

On February 25 and 26, 2026, we held our second annual meeting for our COMFORT project at the German Electron Synchrotron (DESY) in Hamburg. In several presentations and discussion rounds, the project progress was presented and the next steps were discussed. A key insight supporting the COMFORT hypothesis was that compressed models can generalize at least as well as dense models, while requiring significantly less training effort and sometimes even being more robust to attacks.


Kick-off Meeting 2025 for our Projekt COMFORT in Würzburg

From 05-06 February 2025 we had the kick-off meeting for our project COMFORT here at the Julius-Maximilians-Universität Würzburg. We had two days of exciting discussions on how the compression of machine learning models interacts with robustness and transferability.