Machine Learning on Spherical Manifold [R]

Reddit r/MachineLearning / 5/20/2026

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Key Points

The post introduces a personal technical blog entry focused on geometric deep learning for data defined on spherical manifolds.
It notes that the initial content is relatively simple and based on prior interest in geometric deep learning.
The author asks the community whether there is a list of open problems in GDL (geometric deep learning) related to spherical manifolds.
It invites researchers to suggest which specific GDL problems are most relevant to the wider research community.
Overall, the article functions as a community prompt for identifying worthwhile research directions rather than presenting new results.

Hi, I'm interested in geometric deep learning (due to Michael M. Bronstein's book and Maurice Weiler's PhD thesis), and in order not to write projects to nowhere, I decided to keep a technical blog. I started with a short note about machine learning on spherical manifolds, but it's a pretty simple thing.

Is there a list of some open problems on the topic of GDL, or maybe some of you are doing something in this direction and can suggest which GDL problems are relevant in the research community.

submitted by /u/eesuck0
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