We are thrilled to announce that TAGinDS will have its next workshop at #CVPR2026! #TAGPRA will center on the use of Topology, Algebra, and Geometry for Pattern Recognition with Applications! Stay tuned and looking forward to your submissions!

Next Thursday, Feb 02 at 10:30 AM (UTC-5), our senior research fellow, Prof. Ivan Limonchenko is giving a talk: "Polyhedral products and the Aanderaa-Karp-Rosenberg conjecture" at Princeton IPPS! #topology

✍️Calling for reviewers ‼️ We are seeking reviewers for our upcoming workshop TAG-PRA #CVPR2026 If you would like to volunteer and have the relevant background, please let us know by filling out the short form docs.google.com/forms/d/e/1FAI… or by reaching out to us [email protected]

Based! 😎

Excited to share the latest work of our colleagues – A. Bahri, I. Limonchenko, T. Panov, J. Song, D. Stanley! A stability theorem for bigraded persistence barcodes arxiv.org/abs/2303.14694 Persistent homology of moment-angle complexes for topological #data analysis! #topology

The number of islands in a lake depends on the water level. Drain the lake and there are no islands. As you add water back, islands appear. Add more water and some islands disappear. This is basically persistent homology.

The submission site for TAG-ML at ICML ICML Conference is live! Please see the attached call for papers and consider submitting your work! Looking forward to your submissions and another fantastic event with terrific keynotes (to be revealed soon!) 🙂

Topological Deep Learning is an immensely powerful and fast emerging field. Our new literature review arxiv.org/abs/2304.10031 is out and here’s why I’m very excited about it🧵1/5

I have created a public repository for getting insights about topological deep learning, in which the learning resources are well organized: github.com/lrnzgiusti/awe… 🧵

Simplicial complexes are combinatorial objects generalizing triangulations. They are central to (computational) homology and topological data analysis. Two examples for embedded points are alpha and Chech complexes. en.wikipedia.org/wiki/Simplicia…

Finally published! (not mine) nature.com/articles/s4159…

"Neural Manifolds" have become increasingly widespread in neuroscience (&AI), but we are far from having a unified framework. Here are some resources I've found particularly insightful about what neural manifolds are and the role they play in computation in neural systems: 🧵1/14

Algebraic Topology for Data Scientists arxiv.org/abs/2308.10825

This is great.

Examples of non-orientable manifolds in nature mathoverflow.net/questions/4583…

The proceedings volume of the 2nd Annual TAG-ML workshop ICML Conference is available now at proceedings.mlr.press/v221/ Thank you to all of the contributing authors and editors- it takes a village! Symmetry and Geometry in Neural Representations Mathilde Papillon🦋 mathildepapillon .bsky .social Nina Miolane 🦋 @ninamiolane.bsky.social Bastian Grossenbacher-Rieck

Manifold hypothesis according to DALLE-3

The Spanish Network of Topology has organized an online introductory course to TDA. The course will be taught by many great researchers (although I miss some names :( ) and it is totally free. The best part is that I will also talk! More info at sites.google.com/view/introduct…