Friends, I am beyond happy! I'm starting a new position as Full Professor of #MachineLearning at the University of Fribourg @unifr 🇨🇭! With #SwissAI and many other initiatives, I am taking my research at the intersection of #geometry, #topology, and #MachineLearning to a new level 🚀. This #SwissNationalDay will thus hold an even more special meaning for me—thanks for this wonderful chance, my dear confederates! The past few years have been a veritable roller coaster 🎢, with ups and downs. Through it all, I was sustained and supported by my family, for which I am eternally grateful. As much as we like to believe it in academia, 'no man is an island,' and I have tons of people to thank, foremost among them my postdoctoral adviser @kmborgwardt, as well as my long-term collaborators @KrishnaswamyLab and @mrguywolf. I am also indebted to my great research group at the AIDOS Lab. Working with all of you is a pleasure! 🙏 Finally, I am grateful for the advice of my mentors and role models @stefanabauer, @mmbronstein, and @guennemann (plus many others—you know who you are). It's time to give back now and make academia better! PS: 🔥I'm hiring soon! 🔥Please share widely and direct any inquiries to my e-mail or DM.

Happy that work from my AWS internship got published! Augmenting data by diffusion-model generated synthetic images helps for downstream vision tasks - but did not outperform simpler and cheaper internet-data retrieval - a baseline we suggest.

🔖New preprint: Answering some (not all!) questions about the expressivity of #topology in the context of #MachineLearning for graphs. TL;DR: persistent homology is awesome and can 'simulate' a corresponding WL test (even for higher orders). 🤯 🧵1/6

Excited to see that my discussion of @nealstephenson's oeuvre stimulated such an engaging exchange of ideas! 🤯

📣 A new adventure beckons: I'll join @Helmholtz_AI as a PI at the AIH (@PioneerCampus, @HelmholtzMunich) in October! 🎉 🎓 Looking for students/postdocs (#machinelearning, #topology, #maths, ...) soon! (DM me) 🎓 #AcademicTwitter @fabian_theis @FeestChristoph @tschwarzromond

[1/8] Excited to share our preprint on #calibr8, a Python package for calibration modeling: It is a bottom-up story about data-generating processes: Where do measurements come from? What role do calibration models have for quantitative data analyses?

{{einsum}} - my new R package just published on CRAN to express complex array multiplications using the concise Einstein summation notation 🎉🥳