Artificial Intelligence and Machine Learning @ LMU

👏 We’ve got some extra #NeurIPS News just now!
Our Position Track Paper was also distinguished for an Oral presentation at the Conference! 🎯🎯
Read more here: linkedin.com/feed/update/ur…
@MunichCenterML @zuseschoolrelAI @eyke_hu @ysale12

We are thrilled to share: @AIML_LMU has 8 papers accepted at @NeurIPSConf! One of those, #probly: Uncertainty-Aware Machine Learning, has been distinguished with an oral presentation at the conference! Congratulations to the authors!! 🔗: shorturl.at/JCErG
@MunichCenterML

@AIML_LMU presented at the #ECML2026 in Naples:
📄 Uncertainty-aware Finite-sample Quantification
🔗 qcds-2026.github.io/proceedings/Co…
📄 Approximating Shapley Interactions with Marginal Contributions
🔗 link.springer.com/article/10.100…
@MunichCenterML
More about it here: lnkd.in/p/dFPbB8_Z

Last month we presented at the @IJCAIconf in Bremen! 🇩🇪 Learn more about it: lnkd.in/p/dwFGTPhv
📌 Our survey:
📄 Approximation Algorithms for the Shapley Value: Taxonomy and Properties
👥 Patrick Kolpaczki and @eyke_hu
🔗 …-preprints.s3.us-west-1.amazonaws.com/2026/SV141.pdf @MunichCenterML

Amsterdam was the next stop on our conference 📆! @ysale12 and @AlirezaJVNMRDI attended #UAI2026. Across talks and poster sessions they had the chance to exchange ideas on uncertainty in ML and much more 🤝 shorturl.at/hXofe @eyke_hu @MunichCenterML @zuseschoolrelAI