Rubén Ballester
rballeba.topology.rocks
Rubén Ballester
@rballeba.topology.rocks
I'm a PhD student in (topological) persistence theory and topological machine learning at Universitat de Barcelona.
Reposted by Rubén Ballester
Happy New Year🎉

Thrilled to start 2025 with $1M from @cziscience.bsky.social @chanzuckerberg.bsky.social to study the maternal brain using AI!

Grateful for the chance to advance science for mothers worldwide 🧠

@emilyjacobs.bsky.social @susanacarmona.bsky.social @magdamartinezga.bsky.social
January 7, 2025 at 5:39 PM
Reposted by Rubén Ballester
Math friends! I am at JMM in Seattle all week, feel free to reach out🍩 To learn more about Topological Deep Learning, join me in two talks!
- room 607 at 9:30am today in the Special Session on Topological Machine Learning in
- or room 613 tomorrow at 3:30pm
January 8, 2025 at 5:03 PM
Analytic torsion for graphs is the new invariant in town for topological machine learning. First time I see a super determinant in my life.

arxiv.org/abs/2201.09412
Analytic torsion for graphs
Analytic torsion is a functional on graphs which only needs linear algebra to be defined. In the continuum it corresponds to the Ray-Singer analytic torsion. We have formulas for analytic torsion if t...
arxiv.org
December 4, 2024 at 9:27 AM
Reposted by Rubén Ballester
My talk "Vertex, Edge, Clique: What's in Graph?" is online now:

👉 youtu.be/MCfp8p7tETk

I take a critical look at practices in graph #MachineLearning and introduce MANTRA, our new data set of higher-order triangulations:

📜 arxiv.org/abs/2410.02392

Let me know what you think!
Vertex, Edge, Clique: What's in a Graph?
YouTube video by Bastian Grossenbacher-Rieck
youtu.be
November 21, 2024 at 11:52 AM