Visiting Fulbright Student @ AI for Data-Oriented Science Lab with Helmholtz Munich and the Technical University of Munich.
Munich, Germany
Joined December 2024
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Emily Simons retweeted
#MachineLearning loves data. #Topology loves shape.
Let's bring them together!
👉The Euler Characteristic Transform (ECT) bridges both worlds, as I outline in a recent article in the Notices of the @amermathsoc.
Engage!
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ALT An overview of the Euler Characteristic Transform, illustrated for a single Euler Characteristic Curve, i.e., the calculation of Euler characteristics along a single direction.
✨Excited to be at ICML 2025 to share our new evaluation framework for graph-learning datasets, work with @CorinnaCoupette, @JeremyWayland, @Pseudomanifold
Curious about who shall pass, and who shall not?🤔
Enjoy nods to LoTR?🧝♀️
Check out our blog post and paper in the comments!
Cheers to a shire - oops, HIGHER - standard for our benchmarks.
📒 Blog: aidos.group/blog/rings/
📃 Paper: doi.org/10.48550/arXiv.2502.…
👩💻 Code: github.com/aidos-lab/rings
Hi!👋Emily Simons here, @FulbrightPrgrm Student Researcher with @HelmholtzMunich's AIDOS Lab.
Happy to be sharing my first contribution to AIDOS in this 🧵.
Say hiya to SCOTT, the perfect holiday (software) package🎁for the #curvature and #graph enthusiast in your life.
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It is also easy to choose your own SCOTT-ish adventure.🚀
Tailor your KILT🪡 with customizable curvature measures:
📏Forman & Balanced Forman
📏Ollivier-Ricci
📏Resistance
And vectorize by either:
🏔️ outlining a persistence landscape, or
📸 snapping a persistence image
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We hope SCOTT can prove helpful in shepherding your flock of graphs through curvature filtrations.🐑
Big thanks to @jeremy_wayland for his incredible mentorship throughout. Special thanks also to our Scotland consultants: @mairi_mcclean and @LimbeckKat.🏴
‘Til next time!
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