Post by Chair of Artificial Intelligence and Machine Learning (AIML)

🤝Maximilian Muschalik and Hubert Baniecki, Timo Löhr and Paul Hofman (🎯spotlight paper), Timo Kaufmann and Clemens Damke brought back from #NeurIPS2025 true inspiration🪄, new ideas💡 as well as some nice fotos 📸. 🖇️ See the papers: - Vision-Language Explanations with shapiq: https://lnkd.in/gkMaTCJh - Credal Prediction based on Relative Likelihood: https://lnkd.in/dyzwz_CT - Adjusted Count Quantification Learning on Graphs: https://lnkd.in/dSSPkmaT - ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning: https://lnkd.in/dSWiEVun